indicators.json

{
    "indicators": [
        {
            "goal": 1, 
            "targets": {
                "primary-target": "1.1", 
                "other-targets": "2.3, 1.2, 8.5"
            }, 
            "indicator": "1.1.1", 
            "title": "Proportion of population below international poverty line disaggregated by sex and age group and employment status (or: Proportion of employed people living below the international poverty line)", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "modified-Aug2015, Nov2015-green", 
            "leads": "World Bank and ILO", 
            "data-sources": "Household surveys (LFS, HIES, LSMS, Integrated HH surveys, etc.)", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 1, 
            "targets": {
                "primary-target": "1.2", 
                "other-targets": "1.1, 8.5"
            }, 
            "indicator": "1.2.1", 
            "title": "Proportion of population living below national poverty line, disaggregated by sex and age group", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "World Bank; Data availability: Unisex: Data available for all countries that have household income or consumption surveys. SPC: data are widely available and used by Pacific Island countries, most of which have by now two data points; ILO: working poverty available by employment status for 44 countries;", 
            "data-sources": "Household surveys", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 1, 
            "targets": {
                "primary-target": "1.2", 
                "other-targets": ""
            }, 
            "indicator": "1.2.2", 
            "title": "Proportion of men, women and children of all ages living in poverty in all its dimensions according to national definitions", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Nov2015-green", 
            "leads": "", 
            "data-sources": "", 
            "available": "", 
            "category": ""
        }, 
        {
            "goal": 1, 
            "targets": {
                "primary-target": "1.3", 
                "other-targets": "5.4, 8.5, 8.8, 10.4"
            }, 
            "indicator": "1.3.1", 
            "title": "Percentage of the population covered by social protection floors/systems, disaggregated by sex, and distinguishing children, unemployed, old age, people with disabilities, pregnant women/new-borns, work injury victims, poor and vulnerable", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "modified-Aug2015, Nov2015-green", 
            "leads": "Responsible entity: ILO. Availability: Information on old age coverage for 175 countries; on jobless support for 79 countries; on disability for 171 countries; on maternity for 139 countries; on child benefits for 109 countries; on occupational injury coverage for 172 countries. Also responsible: OECD.", 
            "data-sources": "Social Security administrative data consolidated by the ILO Social Security Inquiry.", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 1, 
            "targets": {
                "primary-target": "1.4", 
                "other-targets": "1.2, 3.1, 3.2, 3.7, 3.8, 4.1, 4.2, 4.5, 4.6, 5.6, 6.1, 6.2, 7.1, 11.1"
            }, 
            "indicator": "1.4.1", 
            "title": "Proportion of the population living in households with access to basic services.", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "World Bank, UNDP, UNICEF", 
            "data-sources": "MICS and DHS; household surveys", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 1, 
            "targets": {
                "primary-target": "1.5", 
                "other-targets": "11.5, 13.1, 14.2, 15.3"
            }, 
            "indicator": "1.5.1", 
            "title": "Number of deaths, missing people, injured, relocated or evacuated due to disasters per 100,000 people.", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "UNISDR", 
            "data-sources": "National Disaster Loss Databases, 85 (will be more than 115 by 2016)", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 1, 
            "targets": {
                "primary-target": "1.a", 
                "other-targets": "3.1, 3.2, 3.3, 3.4, 3.7, 3.8, 4.1, 4.2, 4.3, 4.6, 5.6"
            }, 
            "indicator": "1.a.1", 
            "title": "Percentage of resources allocated by the government directly to poverty reduction programmes", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "modified-Aug2015, Nov2015-green", 
            "leads": "World Bank", 
            "data-sources": "", 
            "available": "Tier III", 
            "category": ""
        }, 
        {
            "goal": 1, 
            "targets": {
                "primary-target": "1.a", 
                "other-targets": ""
            }, 
            "indicator": "1.a.2", 
            "title": "Spending on essential services (education, health and social protection) as % of total government spending", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Nov2015-green", 
            "leads": "", 
            "data-sources": "", 
            "available": "", 
            "category": ""
        }, 
        {
            "goal": 1, 
            "targets": {
                "primary-target": "1.b", 
                "other-targets": "1.b, 13.2, 15.9"
            }, 
            "indicator": "1.b.1", 
            "title": "Number of national action plans related to multi-lateral environmental agreements that support accelerated investment in actions that eradicate poverty and sustainably use natural resources.", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "INFORMEA (www.informea.org). Information currently available for more than 160 countries", 
            "data-sources": "Data on all national action plans for MEAs can be found in INFORMEA, which in turn draws upon the data from individual MEAs such as the National Biodiversity Strategy and Action Plans (http://www.bipindicators.net/statusofNBSAPs and http://www.cbd.int/nbsap/)", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 2, 
            "targets": {
                "primary-target": "2.1", 
                "other-targets": ""
            }, 
            "indicator": "2.1.1", 
            "title": "Prevalence of undernourishment", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "FAO - Consistent time series for the indicator exist from 1990-92 for about 140 countries. The indicator is regularly reported in the annual State of Food Insecurity in the World Report published by FAO, IFAD and WFP since 1999 and in the Millennium Development Goal Report of the UN Statistics Division. Data on the indicators are published on the FAO Statistics website, at http://www.fao.org/economic/ess/ess-fs/ess-fadata/it/#.VM89cGjF-VM and updated every year.", 
            "data-sources": "The FAO methodology combines available micro-data on food consumption derived from surveys with macro-data from food balance sheets. The ability of the indicator to approximate access to food depends upon the extent to which existing data allow characterizing effectively the probability distribution of habitual food consumption in the reference population.", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 2, 
            "targets": {
                "primary-target": "2.1", 
                "other-targets": "2.2, 3.1, 3.2."
            }, 
            "indicator": "2.1.2", 
            "title": "Prevalence of population with moderate or severe food insecurity, based on the Food Insecurity Experience Scale (FIES)", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "FAO can ensure global coverage (about 150 countries every year covering more than 95% of the world population) annually. For countries that regularly use similar scales, national data will be used to inform the indicators for global monitoring. FAO provides the methodology for calibrating all measures against the common, global reference. Indicators values will be disseminated annually by FAO.", 
            "data-sources": "For the FIES: FAO and National Data. Data are collected annually by FAO for about 150 countries through the Food Insecurity Experience Scale module included in the Gallup World Poll, starting from 2014. A number of countries already use similar tools for national food insecurity assessment (e.g., HFSSM in the US and Canada; EMSA in Mexico; EBIA in Brazil; ELCSA in Guatemala.) Data collected through these tools may be used to inform an assessment that would be comparable with the ones obtained by FAO using the FIES in other countries. Over time, ownership of the FIES indicators will be transferred to countries that may start producing their own data. FCS data is collected around the world by WFP, NGOs, and government partners are often collected within the context of larger/broader food security monitoring systems (FSMS). FSMS surveys and associated household questionnaires typically include a number of core modules; household demographics, income sources, expenditures, food consumption and food sources, coping strategies and shocks. A typical completed FSMS household questionnaire, if collected using a conventional 'face-to-face' (i.e. on site enumerator and respondent) approach, costs approximately $30. For the purpose of providing a rough estimate of the cost and feasibility of collecting only the FCS data together with the standard household demographic data, we estimate the cost at approximately $15 to $20 per household using the conventional face-to-face approach for data collection. See attached metadata for a more complete explanation.", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 2, 
            "targets": {
                "primary-target": "2.2", 
                "other-targets": ""
            }, 
            "indicator": "2.2.1", 
            "title": "Prevalence of stunting (height for age <-2 SD from the median of the WHO Child Growth Standards) among children under five years of age", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "UNICEF, WHO, World Bank joint dataset (145 countries)", 
            "data-sources": "MICS, DHS and other national household surveys", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 2, 
            "targets": {
                "primary-target": "2.2", 
                "other-targets": ""
            }, 
            "indicator": "2.2.2", 
            "title": "Prevalence of wasting", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Nov2015-green", 
            "leads": "", 
            "data-sources": "", 
            "available": "", 
            "category": ""
        }, 
        {
            "goal": 2, 
            "targets": {
                "primary-target": "2.3", 
                "other-targets": ""
            }, 
            "indicator": "2.3.1", 
            "title": "Volume of production per labour unit (measured in constant USD), by classes of farming/pastoral/forestry enterprise size", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "modified-Aug2015, Nov2015-green", 
            "leads": "FAO and the World bank. Data to compute the indicator for agricultural producers are currently available for nine developing countries through LSMS-ISA. When the AGRIS program will be in operation, indicators will be published through FAOSTAT.", 
            "data-sources": "National enterprise surveys. For agriculture, specialized farm surveys , or integrated household surveys including an agricultural module already exist (eg., LSMS-ISA, Integrated Surveys for Agriculture) FAO and the World Bank are working to define a new Agricultural and Rural Integrated Survey (AGRIS) program, that may be used as a source of data to inform this and many others indicators of relevance for the SDG that depend on farm/enterprise level information.", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 2, 
            "targets": {
                "primary-target": "2.3", 
                "other-targets": ""
            }, 
            "indicator": "2.3.2", 
            "title": "Total Factor Productivity", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Dec2015-grey", 
            "leads": "", 
            "data-sources": "", 
            "available": "", 
            "category": ""
        }, 
        {
            "goal": 2, 
            "targets": {
                "primary-target": "2.4", 
                "other-targets": "15.3.2"
            }, 
            "indicator": "2.4.1", 
            "title": "Percentage of agricultural area under sustainable agricultural practices.", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green, Dec2015-grey", 
            "leads": "FAO is carrying on a consultation process to develop an indicator on 'Area under sustainable land management', to be developed by the end of 2015. The process will be within the framework of the 'World Overview of Conservation Approaches and Technologies' (WOCAT) partnership and in the support of UNCCD implementation and will support countries to assess, map and monitor SLM as well as land degradation.", 
            "data-sources": "At global level, currently there is no data available. However many if not most of the countries record areas which are the object of practices contributing to environmental sustainability under various schemes, either of a regulatory nature, like protected areas for instance, or as part of a subsidies scheme or in a payment for environmental services scheme or as part of voluntary standards, public or private. Countries are also preparing, as part of national reports for the state of the world biodiversity for food and agriculture, statistics on practices contributing to biodiversity, most of which have a broader positive impact on the environment. Moreover, many countries are participating in internationally established strategic frameworks which promote the collection of data at country level. Hence, the data for computing the indicator should be collected through the records that are held in the process of the country participation to those schemes and strategies.", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 2, 
            "targets": {
                "primary-target": "2.4", 
                "other-targets": ""
            }, 
            "indicator": "2.4.2", 
            "title": "Percent of agricultural households using irrigation systems compared to all agricultural households", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Nov2015-green, Dec2015-grey", 
            "leads": "", 
            "data-sources": "", 
            "available": "", 
            "category": ""
        }, 
        {
            "goal": 2, 
            "targets": {
                "primary-target": "2.4", 
                "other-targets": ""
            }, 
            "indicator": "2.4.3", 
            "title": "Percent of agricultural households using eco-friendly fertilizers compared to all agricultural households using fertilizers", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Nov201, Dec2015-grey", 
            "leads": "", 
            "data-sources": "", 
            "available": "", 
            "category": ""
        }, 
        {
            "goal": 2, 
            "targets": {
                "primary-target": "2.5", 
                "other-targets": "15.5"
            }, 
            "indicator": "2.5.1", 
            "title": "Ex-Situ Crop Collections Enrichment index", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "FAO - The indicator has been calculated by FAO in 2008 and 2014. It will be calculated again in 2015 and then periodically every 2-3 years based on data reported by member countries to the Commission of Genetic Resources of Food and Agriculture. Country data are stored in WIEWS, the FAO PGRFA information system.", 
            "data-sources": "Data are reported by member countries to the Commission of Genetic Resources of Food and Agriculture on the implementation of the Second Global Plan of Action for PGRFA, as agreed at CGRFA-15", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 2, 
            "targets": {
                "primary-target": "2.5", 
                "other-targets": ""
            }, 
            "indicator": "2.5.2", 
            "title": "Percentage of local crops and breeds and their wild relatives, classified as being at-risk, not at-risk or unknown level of risk of extinction", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Dec2015-grey", 
            "leads": "", 
            "data-sources": "", 
            "available": "", 
            "category": ""
        }, 
        {
            "goal": 2, 
            "targets": {
                "primary-target": "2.a", 
                "other-targets": ""
            }, 
            "indicator": "2.a.1", 
            "title": "The Agriculture Orientation Index (AOI) for Government Expenditures", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "FAO - Coverage is high, with 139 countries included. However, some countries have not provided data for all 13 years from 2001 to 2012, and the level of government to which expenditures pertain can differ.", 
            "data-sources": "FAO collects, in collaboration with the IMF, data on Government expenditure in Agriculture. The annual data and indicator value compiled by the Food and Agriculture Organization of the UN (FAO), can be found on the FAOSTAT domain at: http://faostat3.fao.org/download/I/IG/E, covering the periods 2001-2012. The underlying annual data is official country data, from 2001 to 2012, reported by countries through a questionnaire jointly developed by FAO and the IMF using the COFOG and GFSM classifications. The database currently covers 139 countries.", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 2, 
            "targets": {
                "primary-target": "2.b", 
                "other-targets": ""
            }, 
            "indicator": "2.b.1", 
            "title": "Percent change in Import and Export tariffs on agricultural products", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "WTO", 
            "data-sources": "WTO", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 2, 
            "targets": {
                "primary-target": "2.b", 
                "other-targets": ""
            }, 
            "indicator": "2.b.2", 
            "title": "Agricultural Export Subsidies", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "OECD", 
            "data-sources": "OECD", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 2, 
            "targets": {
                "primary-target": "2.c", 
                "other-targets": ""
            }, 
            "indicator": "2.c.1", 
            "title": "Indicator of (food) Price Anomalies (IPA)", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "FAO", 
            "data-sources": "", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 3, 
            "targets": {
                "primary-target": "3.1", 
                "other-targets": ""
            }, 
            "indicator": "3.1.1", 
            "title": "Maternal deaths per 100,000 live births", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "Maternal Mortality Expert and Interagency Group (MMEIG), led by WHO with UNICEF, UNFPA, World Bank, UNDESA; data - all countries, global database available; bi-annual global reporting", 
            "data-sources": "CRVS, household surveys, censuses, health facility data, RAMOS, confidential enquiries, modelling", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 3, 
            "targets": {
                "primary-target": "3.1", 
                "other-targets": "3.7, 3.8"
            }, 
            "indicator": "3.1.2", 
            "title": "Proportion of births attended by skilled health personnel", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "UNICEF and WHO", 
            "data-sources": "Household Surveys (will also start producing modelled time series from 2016)", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 3, 
            "targets": {
                "primary-target": "3.2", 
                "other-targets": ""
            }, 
            "indicator": "3.2.1", 
            "title": "Under-five mortality rate (deaths per 1,000 live births)", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "UN Interagency Group on Child Mortality Estimation (IGME), led by UNICEF and WHO, with UNDESA and World Bank; 3.2.1: Data are available for 196 countries and territories for the period 1990-2014 for 3.2.1, and 191 countries for 3.2.2. For 196 countries and territories there are at least two available data points during this time period for 3.2.1, and for 186 countries for 3.2.2.", 
            "data-sources": "Estimates by The UN Inter-agency Group for Child Mortality Estimation (UN IGME) based on data from household surveys, censuses, vital registration systems, etc.", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 3, 
            "targets": {
                "primary-target": "3.2", 
                "other-targets": ""
            }, 
            "indicator": "3.2.2", 
            "title": "Neonatal mortality rate (deaths per 1,000 live births)", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "UNICEF, WHO, UN Population Division, World Bank", 
            "data-sources": "Estimates by The UN Inter-agency Group for Child Mortality Estimation (UN IGME) based on data from household surveys, censuses, vital registration systems, etc.", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 3, 
            "targets": {
                "primary-target": "3.3", 
                "other-targets": "3.2, 3.1, 10.2, 6.1, 6.2"
            }, 
            "indicator": "3.3.1", 
            "title": "Number of new HIV infections per 1,000 uninfected population (by age, sex, and key populations)", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "modified-Aug2015, Nov2015-green", 
            "leads": "UNAIDS; 158 countries; Updated annually", 
            "data-sources": "Country owned, internationally-consistent modelled estimates", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 3, 
            "targets": {
                "primary-target": "3.3", 
                "other-targets": ""
            }, 
            "indicator": "3.3.2", 
            "title": "TB incidence per 1,000 persons per year", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "WHO; data - all countries; global database available; annual reporting", 
            "data-sources": "CRVS, household surveys, health facility data, modelling", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 3, 
            "targets": {
                "primary-target": "3.3", 
                "other-targets": ""
            }, 
            "indicator": "3.3.3", 
            "title": "Malaria incident cases per 1,000 person per year", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "WHO; data - all countries; global database available; annual reporting", 
            "data-sources": "Household surveys, health facility data, modelling", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 3, 
            "targets": {
                "primary-target": "3.3", 
                "other-targets": ""
            }, 
            "indicator": "3.3.4", 
            "title": "Estimated number of new hepatitis B infections per 100,000 population in a given year", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "WHO - data: estimates under development for all countries;", 
            "data-sources": "Household surveys, health facility data, madling", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 3, 
            "targets": {
                "primary-target": "3.3", 
                "other-targets": ""
            }, 
            "indicator": "3.3.5", 
            "title": "Number of people requiring interventions against neglected tropical diseases", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Nov2015-green", 
            "leads": "", 
            "data-sources": "", 
            "available": "", 
            "category": ""
        }, 
        {
            "goal": 3, 
            "targets": {
                "primary-target": "3.4", 
                "other-targets": ""
            }, 
            "indicator": "3.4.1", 
            "title": "Probability of dying of cardiovascular disease, cancer, diabetes, or chronic respiratory disease", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "modified-Aug2015, Nov2015-green", 
            "leads": "WHO; data - all countries", 
            "data-sources": "CRVS, household surveys", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 3, 
            "targets": {
                "primary-target": "3.4", 
                "other-targets": ""
            }, 
            "indicator": "3.4.2", 
            "title": "Suicide mortality rate", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Nov2015-green", 
            "leads": "", 
            "data-sources": "", 
            "available": "", 
            "category": ""
        }, 
        {
            "goal": 3, 
            "targets": {
                "primary-target": "3.5", 
                "other-targets": ""
            }, 
            "indicator": "3.5.1", 
            "title": "Coverage of treatment interventions (pharmacological, psychosocial and rehabilitation and aftercare services) for substance abuse disorders", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "WHO; data - all countries; global database available; regular global monitoring report; UNODC for drug-related treatments, all countries are mandated to report as a yearly cycle (Response Rate=60-65% of MS)", 
            "data-sources": "Administrative records; Annual Report Questionnaire Part II Comprehensive Approach to Drug Demand Reduction and Supply as mandated by the Drug Conventions and compiled annually by UNODC; WHO, Global Information System on Alcohol and Health (GISAH); WHO, ATLAS-SU: Resources for Treatment and Prevention of Substance Use Disorders", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 3, 
            "targets": {
                "primary-target": "3.5", 
                "other-targets": ""
            }, 
            "indicator": "3.5.2", 
            "title": "Harmful use of alcohol defined according to national context as alcohol per capita (15+ years old) consumption within a calendar year in litres of pure alcohol", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Nov2015-green", 
            "leads": "", 
            "data-sources": "", 
            "available": "", 
            "category": ""
        },
        {
            "goal": 3, 
            "targets": {
                "primary-target": "3.6", 
                "other-targets": "11.2"
            }, 
            "indicator": "3.6.1", 
            "title": "Number of road traffic fatal injury deaths per 100,000 population (age-standardized)", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "WHO and UN Road Safety Collaboration data collation; data - all countries; global database available; annual updating, regular global report", 
            "data-sources": "CRVS, household surveys, administrative records", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 3, 
            "targets": {
                "primary-target": "3.7", 
                "other-targets": ""
            }, 
            "indicator": "3.7.1", 
            "title": "Percentage of women of reproductive age (15-49 years) who have their need for family planning satisfied with modern methods", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "UNDESA, UNFPA; Data are available for 138 countries and territories for the period 1990-2014; 90 countries and territories have at least two available data points. 183 countries and territories have data on contraceptive prevalence (one component of this indicator); 156 countries and territories have at least two data points.", 
            "data-sources": "Household surveys", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 3, 
            "targets": {
                "primary-target": "3.7", 
                "other-targets": "5.3, 5.6"
            }, 
            "indicator": "3.7.2", 
            "title": "Adolescent birth rate (10-14; 15-19) per 1,000 women in that age group", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "UNDESA; Data for the adolescent birth rate (15-19) are available for 225 countries and territories for the period 1990-2014; 223 countries and territories have at least two data points. Data on births to mothers under the age of 15 are available for at least 102 countries and territories for the period 2000-2014, UNFPA.", 
            "data-sources": "CRVS, household surveys, censuses", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 3, 
            "targets": {
                "primary-target": "3.8", 
                "other-targets": "1.2, 10.4"
            }, 
            "indicator": "3.8.1", 
            "title": "Coverage of tracer interventions (e.g. child full immunization, ARV therapy, TB treatment, hypertension treatment, skilled attendant at birth, etc.)", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "WHO and World Bank; data - all countries; WHO global database for tracer indicators available; biannual global progress report on UHC, first in 2015.", 
            "data-sources": "household surveys and facility data", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 3, 
            "targets": {
                "primary-target": "3.8", 
                "other-targets": ""
            }, 
            "indicator": "3.8.2", 
            "title": "Fraction of the population protected against catastrophic/impoverishing out-of-pocket health expenditure", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "WHO and World Bank; data - 89 countries; global database under development; biannual global progress report on UHC, first in 2015", 
            "data-sources": "Household surveys", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 3, 
            "targets": {
                "primary-target": "3.9", 
                "other-targets": "6.3, 11.6, 12.4"
            }, 
            "indicator": "3.9.1", 
            "title": "Population in urban areas exposed to outdoor air pollution levels above WHO guideline values", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015", 
            "leads": "WHO; data - 91 countries in global database; biannual updates planned; OECD also has geospatially-based measures for air pollution exposure with significant granularity at local level. It is rather straightforward to extend country coverage to a global level.", 
            "data-sources": "Administrative records; satellite data", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 3, 
            "targets": {
                "primary-target": "3.9", 
                "other-targets": ""
            }, 
            "indicator": "3.9.2", 
            "title": "Mortality rate attributed to hazardous chemicals, water and soil pollution and contamination", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Dec2015-grey", 
            "leads": "", 
            "data-sources": "", 
            "available": "", 
            "category": ""
        }, 
        {
            "goal": 3, 
            "targets": {
                "primary-target": "3.a", 
                "other-targets": ""
            }, 
            "indicator": "3.a.1", 
            "title": "Tobacco use among persons 18 years and older (Age-standardized prevalence of current tobacco use among persons aged 18 years and older)", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "WHO; data - all countries; global database available; regular global reporting", 
            "data-sources": "Household surveys", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 3, 
            "targets": {
                "primary-target": "3.b", 
                "other-targets": ""
            }, 
            "indicator": "3.b.1", 
            "title": "Proportion of population with access to affordable essential medicines on a sustainable basis", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "WHO; data - all countries", 
            "data-sources": "Facility surveys", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 3, 
            "targets": {
                "primary-target": "3.b", 
                "other-targets": ""
            }, 
            "indicator": "3.b.2", 
            "title": "Total net official development assistance to the medical research and basic health sectors", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Nov2015-green", 
            "leads": "", 
            "data-sources": "", 
            "available": "", 
            "category": ""
        }, 
        {
            "goal": 3, 
            "targets": {
                "primary-target": "3.c", 
                "other-targets": ""
            }, 
            "indicator": "3.c.1", 
            "title": "Health worker density and distribution", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "WHO; data - all countries; global database available; annual updating", 
            "data-sources": "Census, household surveys, health facility data, administrative systems", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 3, 
            "targets": {
                "primary-target": "3.d", 
                "other-targets": ""
            }, 
            "indicator": "3.d.1", 
            "title": "Percentage of attributes of 13 core capacities that have been attained at a specific point in time", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "WHO; data - all countries; global database available; regular updating", 
            "data-sources": "Country report and independent assessment", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 4, 
            "targets": {
                "primary-target": "4.1", 
                "other-targets": "1.2, 1.4, 1.5, 2.1, 2.2, 2.3, 3.1, 3.3, 3.4, 3.7, 3.c, 5.3, 5.4, 5.5, 5.b,7.a, 8.6, 8.7, 8.b, 10.2, 10.6, 12.8, 13.3, 13.b, 16.a, 4.5"
            }, 
            "indicator": "4.1.1", 
            "title": "Percentage of children/young people at the end of each level of education achieving at least a minimum proficiency level in (a) reading and (b) mathematics. (Disaggregations: sex, location, wealth (and others where data are available))", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "UNESCO-UIS will form a broad technical group including Member States to develop and maintain measures. UNESCO-UIS will compile data from learning assessments conducted by other organizations and transform them to the common learning scale.", 
            "data-sources": "Various international (eg PIRLS, PISA, TIMSS), regional learning assessments (eg LLECE, SACMEQ, PASEC) national and citizen-led learning assessments. Data are available at the primary level for about 50 countries from PIRLS and at lower secondary level for about 70 countries from PISA and 65 countries from TIMSS. Once the learning scale has been created the existing results can be reported according to a common scale. This is expected to take 3-5 years to achieve.", 
            "available": "Tier III", 
            "category": ""
        }, 
        {
            "goal": 4, 
            "targets": {
                "primary-target": "4.2", 
                "other-targets": "1.4, 4.5"
            }, 
            "indicator": "4.2.1", 
            "title": "Percentage of children under 5 years of age who are developmentally on track in health, learning and psychosocial well-being (Disaggregations: sex, location, wealth (and others where data are available))", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "UNESCO-UIS will compile data from household surveys conducted by other organizations.", 
            "data-sources": "One possible source is the ECDI from MICS but other sources should be explored in order to ensure that the range of characteristics and their levels are relevant in all parts of the world. This is expected to take 3-5 years to achieve. The ECDI is currently available for about 30 countries.", 
            "available": "Tier III", 
            "category": ""
        },
        {
            "goal": 4, 
            "targets": {
                "primary-target": "4.2", 
                "other-targets": ""
            }, 
            "indicator": "4.2.2", 
            "title": "Participation rate in organized learning (one year before the official primary entry age)", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Nov2015-green", 
            "leads": "UNESCO-UIS", 
            "data-sources": "UOE questionnaire- UNESCO-UIS", 
            "available": "", 
            "category": ""
        },  
        {
            "goal": 4, 
            "targets": {
                "primary-target": "4.3", 
                "other-targets": "1.4, 4.4, 5.b, 8.5, 9.2"
            }, 
            "indicator": "4.3.1", 
            "title": "Participation rate of adults in formal and non-formal education and training in the last 12 months", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "UNESCO-UIS will convene an inter-agency group of experts to develop common methodologies for, initially, completion and participation indicators derived from household surveys. UNESCO-UIS will compile data from household surveys conducted by other organizations.", 
            "data-sources": "This indicator is usually calculated from individual level data collected in household surveys. One such source is the European Union's Adult Education Survey covering about 30 countries. Considerable work is required to develop a set of questions to be applied in labour force or other surveys globally. This is expected to take 1-3 years to achieve.", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 4, 
            "targets": {
                "primary-target": "4.4", 
                "other-targets": "5.b, 8.5, 8.6, 8.b, 9.2, 9.c"
            }, 
            "indicator": "4.4.1", 
            "title": "Percentage of youth/adults with ICT skills by type of skill", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "International Telecommunications Union (ITU)", 
            "data-sources": "Already collected by ITU. See ITU's response on indicator 5.b.2 for further details.", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 4, 
            "targets": {
                "primary-target": "4.5", 
                "other-targets": "All equity targets and targets associated with the underlying indicators; covers also 4.1, 4.2, 4.3, 4.4, 4.6, 5.1"
            }, 
            "indicator": "4.5.1", 
            "title": "Parity indices (female/male, urban/rural, bottom/top wealth quintile) for all indicators on this list that can be disaggregated", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "UIS; Data available for over 100 countries", 
            "data-sources": "Same sources and availability as the underlying indicators themselves", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 4, 
            "targets": {
                "primary-target": "4.6", 
                "other-targets": "1.2, 1.5, 2.1, 2.2, 2.3, 3.1, 3.3, 3.4, 3.7, 5.3, 5.4, 5.5, 5.6, 8.5, 8.6, 8.b, 10.2, 12.8, 13.3, 13.b,"
            }, 
            "indicator": "4.6.1", 
            "title": "Percentage of the population in a given age group achieving at least a fixed level of proficiency in functional (a) literacy and (b) numeracy skills. (Disaggregations: sex, location, wealth (and others where data are available))", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "OECD (PIAAC); World Bank (STEP); UNESCO-UIS will compile the data collected in assessment surveys run by other organizations.", 
            "data-sources": "This indicator is collected via skills' assessment surveys of the adult population. Currently data are available for 33 mostly high-income countries from PIAAC. Similar information is available for (urban areas of) of 13 low- and middle-income countries from STEP. Considerable work is required to develop a cost-effective module that can be integrated into national and international surveys. This is expected to take 3-5 years to achieve.", 
            "available": "Tier III", 
            "category": ""
        }, 
        {
            "goal": 4, 
            "targets": {
                "primary-target": "4.7", 
                "other-targets": "1.5, 3.d, 11.6, 12.2, 12.8, 13.1, 13.3, 13.b, 15.9"
            }, 
            "indicator": "4.7.1", 
            "title": "Percentage of 15-year old students enrolled in secondary school demonstrating at least a fixed level of knowledge across a selection of topics in environmental science and geoscience. The exact choice/range of topics will depend on the survey or assessment in which the indicator is collected. (Disaggregations: sex and location (and others where data are available))", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "OECD (PISA), IEA (ICCS); UNESCO-UIS will compile data from assessments and surveys run by other organizations", 
            "data-sources": "PISA 2006, administered in 57 countries, estimated an 'environmental science performance index.' ICCS 2009, which included 38 countries, contains workable items for larger-scale tracking that will require validation in developing world settings. ICCS 2016 will provide globally-comparable data on civic knowledge and engagement, and students' roles in peaceful functioning of schools. Major efforts will be required to develop a tool for use in other surveys. This is expected to take 3-5 years to achieve.", 
            "available": "Tier III", 
            "category": ""
        }, 
        {
            "goal": 4, 
            "targets": {
                "primary-target": "4.a", 
                "other-targets": "6.1, 6.2, 7.1, 9.c, 17.8"
            }, 
            "indicator": "4.a.1", 
            "title": "Percentage of schools with access to (i) electricity; (ii) Internet for pedagogical purposes (iii) basic drinking water; (iv) basic sanitation facilities; and (v) basic hand-washing facilities (as per the WASH indicator definitions)", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "UNESCO-UIS and UNICEF", 
            "data-sources": "The indicator can be calculated from administrative sources on school facilities. Data are currently available on electricity and Internet for c70 countries and on water and sanitation for c100 countries. Considerable efforts will be required to apply the WASH definitions fully and extend coverage to more countries. This is expected to take 1-3 years.", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 4, 
            "targets": {
                "primary-target": "4.b", 
                "other-targets": "1.a, 2.a, 9.5, 9.b, 10.b, 12.a, 13.b, 17.2, 17.6"
            }, 
            "indicator": "4.b.1", 
            "title": "Volume of ODA flows for scholarships by sector and type of study; Total net official development assistance (ODA) for scholarships and student costs in donor countries (types of aid E01 and E02). Data expressed in US dollars at the average annual exchange rate.", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "OECD-DAC; Data are available for essentially all high-income countries, and for an increasing number of middle-income aid providers.", 
            "data-sources": "Data are compiled by the Development Assistance Committee (DAC) of the Organisation for Economic Co-operation and Development from returns submitted by its member countries and other aid providers.", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 4, 
            "targets": {
                "primary-target": "4.c", 
                "other-targets": "1.2, 1.4, 1.a, 2.1, 2.2, 2.3, 3.7, 3.c, 3.d, 5.1, 5.5, 5.b, 8.6, 8.7, 10.2, 12.8, 13.3, 13.b"
            }, 
            "indicator": "4.c.1", 
            "title": "Percentage of teachers in (i) pre-primary (ii) primary, (iii) lower secondary and (iv) upper secondary education who have received at least the minimum organized teacher (i.e. pedagogical training) pre-service or in-service required for teaching at the relevant level in a given country. (Disaggregations: sex (and others where data are available))", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "UNESCO-UIS", 
            "data-sources": "The indicator can be calculated from administrative sources on teachers. Data are currently available for c100 countries. Considerable further work would be required if a common standard for teacher training is to be applied across countries.", 
            "available": "Tier I/III", 
            "category": ""
        }, 
        {
            "goal": 5, 
            "targets": {
                "primary-target": "5.1", 
                "other-targets": ""
            }, 
            "indicator": "5.1.1", 
            "title": "Whether or not legal frameworks are in place to promote equality and non-discrimination on the basis of sex", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "Methodology being developed by OHCHR and UN Women. A tentative proposal is that the CEDAW Committee would monitor the indicator as part of their country reporting and review process using a standardized template to assess all countries in a comparable manner.", 
            "data-sources": "Member State responses to CEDAW, World Bank Women Business and Law Database", 
            "available": "Tier III", 
            "category": ""
        }, 
        {
            "goal": 5, 
            "targets": {
                "primary-target": "5.2", 
                "other-targets": ""
            }, 
            "indicator": "5.2.1", 
            "title": "Proportion of ever-partnered women and girls (aged 15-49) subjected to physical and/or sexual violence by a current or former intimate partner, in the last 12 months", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "The data would be compiled by UNICEF, UN Women and UNSD -- around 100 but not fully comparable, UNFPA, WHO.", 
            "data-sources": "The data would come from DHS and other specialized VAW surveys. Included in the Minimum Set of Gender Indicators", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 5, 
            "targets": {
                "primary-target": "5.2", 
                "other-targets": "16.1"
            }, 
            "indicator": "5.2.2", 
            "title": "Proportion of women and girls (aged 15-49) subjected to sexual violence by persons other than an intimate partner, since age 15", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "The data would be compiled by UNICEF, UN Women, UNSD, UNFPA, and WHO.", 
            "data-sources": "The data would come from DHS and other specialized VAW surveys. Included in the Minimum Set of Gender Indicators.", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 5, 
            "targets": {
                "primary-target": "5.3", 
                "other-targets": ""
            }, 
            "indicator": "5.3.1", 
            "title": "Percentage of women aged 20-24 who were married or in a union before age 18 (i.e. child marriage)", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "UNICEF maintains a global database on the issue since 2003. Fully comparable data are available for some 117 low- and middle-income countries. UNICEF is also the agency responsible for reporting on this indicator as part of the UN expert group on gender indicators. UNFPA.", 
            "data-sources": "Household surveys such as MICS and DHS. Included in the Minimum Set of Gender Indicators", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 5, 
            "targets": {
                "primary-target": "5.3", 
                "other-targets": ""
            }, 
            "indicator": "5.3.2", 
            "title": "Percentage of girls and women aged 15-49 years who have undergone FGM/C, by age group (for relevant countries only)", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "UNICEF maintains a global database on the issue since 2004. Data are available for some 29 low- and middle-income countries where the practice is concentrated. UNICEF is also the agency responsible for reporting on this indicator as part of the UN expert group on gender indicators. UNFPA.", 
            "data-sources": "Household surveys such as MICS and DHS. Included in the Minimum Set of Gender Indicators", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 5, 
            "targets": {
                "primary-target": "5.4", 
                "other-targets": ""
            }, 
            "indicator": "5.4.1", 
            "title": "Percentage of time spent on unpaid domestic and care work, by sex, age and location", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "modified-Aug2015, Nov2015-green", 
            "leads": "UN Women and UNSD will monitor. Time use surveys data compiled from databases from ECLAC, OECD, UNECE and national statistical offices for 75 countries.", 
            "data-sources": "68 countries with TUS data since 2005; UNSD has compiled info on unpaid work for 51 countries. Included in the Minimum Set of Gender Indicators", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 5, 
            "targets": {
                "primary-target": "5.5", 
                "other-targets": "16.7"
            }, 
            "indicator": "5.5.1", 
            "title": "Proportion of seats held by women in national parliaments and local governments", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "modified-Aug2015, Nov2015-green", 
            "leads": "IPU, Country coverage: all countries with national parliaments; UN Women UCLG; Country coverage: All countries", 
            "data-sources": "Member States. Included in the Minimum Set of Gender Indicators.", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 5, 
            "targets": {
                "primary-target": "5.5", 
                "other-targets": "16.7"
            }, 
            "indicator": "5.5.2", 
            "title": "Proportion of women in managerial positions", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Nov2015-green", 
            "leads": "", 
            "data-sources": "", 
            "available": "", 
            "category": ""
        }, 
        {
            "goal": 5, 
            "targets": {
                "primary-target": "5.6", 
                "other-targets": ""
            }, 
            "indicator": "5.6.1", 
            "title": "Proportion of women (aged 15-49) who make their own sexual and reproductive decisions.", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "UNFPA", 
            "data-sources": "DHS, MICS and other health and household surveys.", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 5, 
            "targets": {
                "primary-target": "5.6", 
                "other-targets": "3.7"
            }, 
            "indicator": "5.6.2", 
            "title": "Proportion of countries with laws and regulations that guarantee all women and adolescents access to sexual and reproductive health services, information and education (official records)", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "UNPFA, some baselines available.", 
            "data-sources": "Member States", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 5, 
            "targets": {
                "primary-target": "5.a", 
                "other-targets": ""
            }, 
            "indicator": "5.a.1", 
            "title": "a) Percentage of people with ownership or secure rights over agricultural land (out of total agricultural population), by sex; and b) Share of women among owners or rights-bearers of agricultural land, by type of tenure.", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "modified-Aug2015, Nov2015-green", 
            "leads": "FAO and UNSD (EDGE), UN Women", 
            "data-sources": "Included in Minimum Set Gender Indicators", 
            "available": "Tier III soon Tier II", 
            "category": ""
        }, 
        {
            "goal": 5, 
            "targets": {
                "primary-target": "5.a", 
                "other-targets": "1.4"
            }, 
            "indicator": "5.a.2", 
            "title": "The legal framework includes special measures to guarantee women's equal rights to land ownership and control.", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "FAO - FAO has the mandate to collect and disseminate information related to agriculture and is working to monitor legal frameworks related to land tenure, as well as to collect, analyse and disseminate land-related statistics. This applies to both alternative indicators proposed. For the rights-based indicator, data is available for over 80 countries (Gender and Land Rights Database, http://www.fao.org/gender-landrights-database/en/ ). Data on the proportion of adult women landowners out of total landowners is available for 11 countries: http://www.fao.org/gender-landrights-database/data-map/statistics/en/?sta_id=1162", 
            "data-sources": "Data for both alternative proposals are available and currently disseminated by FAO. Indeed, some indicators are already available through FAO's Gender and Land Rights Database (see next section). In addition to existing data, FAO is working to strengthen and improve data collection through efforts such as the new Guidelines for the World Census of Agriculture (WCA 2020) as well as the development of the AGRIS toolkit. These are clear indications of the commitment of FAO in sex-disaggregated land indicators.", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 5, 
            "targets": {
                "primary-target": "5.b", 
                "other-targets": ""
            }, 
            "indicator": "5.b.1", 
            "title": "Proportion of individuals who own a mobile telephone, by sex", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "ITU", 
            "data-sources": "Data for the this indicator are collected by NSOs, through household surveys. A number of countries already collect this indicator but data will only be collected at the international level as of 2015", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 5, 
            "targets": {
                "primary-target": "5.c", 
                "other-targets": ""
            }, 
            "indicator": "5.c.1", 
            "title": "Percentage of countries with systems to track and make public allocations for gender equality and women's empowerment", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "UN Women takes lead in monitoring progress on the indicator. Through its programmes, UN Women is providing technical support to the governments in setting up accountability systems to track gender equality allocations. The indicator is included in UN Women's Strategic Plan (SP) 2014-2017, allows systematic and regular monitoring on the progress. ** Data is available for 35 countries which reported on the indicator in the first round of monitoring. Detailed list of these countries can be found in Table A 6 of 'Making Development Cooperation more Effective: First Progress Report (2014)'.", 
            "data-sources": "Methodology being developed.", 
            "available": "Tier III", 
            "category": ""
        }, 
        {
            "goal": 6, 
            "targets": {
                "primary-target": "6.1", 
                "other-targets": ""
            }, 
            "indicator": "6.1.1", 
            "title": "Percentage of population using safely managed drinking water services", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "WHO/UNICEF JMP already maintains a global database and regularly reports on progress in access to drinking water for all countries. WHO/UNICEF JMP is currently developing estimates for the safety and continuity of drinking water services based on available data.", 
            "data-sources": "Data on use of basic drinking water sources is already available from national household surveys and censuses for all developing countries and from administrative sources for all developed countries. Data on safety and continuity of supplies are currently available from household surveys and administrative sources including regulators for c.100 countries", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 6, 
            "targets": {
                "primary-target": "6.2", 
                "other-targets": "1.1, 1.2, 1.4, 1.5, 2.1, 2.2, 2.3, 3.1, 3.2, 3.3, 3.9, 4.1, 4.2, 4a, 5.2, 5.4, 6.3, 6.4, 6.5, 6.6, 8.9, 10.3, 11.1, 11.3, 11.5, 13.1"
            }, 
            "indicator": "6.2.1", 
            "title": "Percentage of population using safely managed sanitation services", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "WHO/UNICEF JMP already maintains a global database and regularly reports on progress in access to basic sanitation for all countries (http://www.wssinfo.org/). ** WHO/UNICEF JMP is working with the GEMI initiative to develop global baseline estimates for safe management of faecal wastes.", 
            "data-sources": "Data on use of basic sanitation facilities is already available from national household surveys and censuses for all developing countries and from administrative sources for all developed countries ** Data on disposal or treatment of excreta are limited but estimates for safe management of faecal wastes can be calculated based on faecal waste flows associated with the use of different types of basic sanitation facility.", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 6, 
            "targets": {
                "primary-target": "6.3", 
                "other-targets": "1.4, 1.5, 2.3, 3.2, 3.3, 3.9, 6.4, 8.9, 9.4, 10.3, 11.1, 11.3, 11.5, 1.6, 12.4, 13.1, 14.1."
            }, 
            "indicator": "6.3.1", 
            "title": "Percentage of wastewater safely treated, disaggregated by economic activity", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "WHO and UN-Habitat, on behalf of UN-Water. Under the UN-Water umbrella, a partial monitoring framework is already in place, currently being finalized under the inter-agency monitoring initiative known as GEMI (Integrated Monitoring of Water and Sanitation Related Targets). GEMI is a new coherent monitoring framework, working closely with JMP), an autonomous programme affiliated with UN-Water, to ensure long-term monitoring for the entire SDG 6. The GEMI monitoring initiative in collaboration with WHO/UNICEF JMP will provide baseline estimates for safe management of faecal wastes. Through combined data sources, data is available for at least 85 countries. Less data are available for onsite and industrial.", 
            "data-sources": "Existing data are available from WHO/UNICEF JMP, FAO-QUASTAT, IBNET and UN-Water GLAAS, as well as population density data, and land-use/ land-cover data from earth observations. New data will come from a variety of sources combining utility and regulator data for off-site systems and potentially household surveys and measured data for onsite systems, supplemented by modelled estimates where no reliable national data exist. Modelled estimates can be generated using JMP data combined with treatment performance in different population density and income settings", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 6, 
            "targets": {
                "primary-target": "6.3", 
                "other-targets": "3.3, 8.4, 9.4, 11.5, 12.4, 14.1, 14.2, 15.1"
            }, 
            "indicator": "6.3.2", 
            "title": "Percentage of receiving water bodies with ambient water quality not presenting risk to the environment or human health", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "UNEP (through GEMS/Water), on behalf of UN-Water. A partial monitoring framework is already in place, currently being finalized under the GEMI monitoring initiative under the UN-Water umbrella (see description under 6.3.1). Related to indicator 6.3.2, GEMI will draw upon metadata standards which are already in place, among other sources on pre-existing datasets such as GEMStat and FAO-AQUASTAT.", 
            "data-sources": "Existing data (direct values) are available from UNEP's GEMS/Water, GEMStat and OECD. Additional information on optical water properties from remote sensing can be used as proxies for sediments and eutrophication/nutrient loading. Measurements would be completed at local laboratories and/or achieved using field measurements on appropriate protocols for sample collection and analysis. For data-poor areas estimates can be generated using existing - in situ - data combined with modelled data and remote sensing information. Data is collected at the scale of the receiving water body basin scale and can be aggregated to the country and regional scale.", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 6, 
            "targets": {
                "primary-target": "6.4", 
                "other-targets": "2.4, 8.4, 9.4 12.2, 12.3, 15.1."
            }, 
            "indicator": "6.4.1", 
            "title": "Percentage change in water use efficiency over time.", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "FAO, on behalf of UN-Water A partial monitoring framework is already in place, currently being finalized under the GEMI monitoring initiative under the UN-Water umbrella (see description under 6.3.1). Data on efficiency are available for all countries. Data for baseline year will be used to track progress in successive years.", 
            "data-sources": "The indicator can be calculated using existing datasets from FAO-AQUASTAT on water withdrawals in different sectors, together with datasets on value generation from National Accounts Main Aggregates (UNSD), World Energy Outlook (International Energy Agency), World Bank demographic datasets, WaterStat Database (Water Footprint Network) and IBNET (the International Benchmarking Network for Water and Sanitation Utilities). The System of Environmental-Economic Accounting (SEEA, 2012) will provide robust withdrawal and consumption based statistics in the long-term but is currently only being compiled by a select number of countries. Modelled data could be used to fill in gaps while capacity is being developed, so that the indicator could be calculated for all countries immediately. The indicator provides an aggregated measure of overall change in productivity across sectors, but it is built on sectoral data and is therefore relevant to each of the sectors", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 6, 
            "targets": {
                "primary-target": "6.4", 
                "other-targets": "15.1"
            }, 
            "indicator": "6.4.2", 
            "title": "Percentage of total available water resources used, taking environmental water requirements into account (Level of Water Stress)", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "FAO, on behalf of UN-Water. A partial monitoring framework is already in place, currently being finalized under the GEMI monitoring initiative under the UN-Water umbrella. As one of the sources for GEMI, FAO-AQUASTAT data are available for all countries, with a track record (incomplete) starting in 1960.", 
            "data-sources": "Existing data are available from FAO-AQUASTAT. EWR data are presently not collected by AQUASTAT, but many feasible methods are available for countries that do not already have good institutional arrangements in place to collect this data on their own. Modelled data could be used to fill in gaps while capacity is being developed. The System of Environmental-Economic Accounting (SEEA, 2012) will provide robust withdrawal and consumption based statistics in the long-term but is currently only being compiled by a select number of countries. Data are collected at the scale of the river basin/aquifer and can be aggregated to the sub-national, national and regional scales.", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 6, 
            "targets": {
                "primary-target": "6.5", 
                "other-targets": "6.a, 6.b, 1.b, 11.b"
            }, 
            "indicator": "6.5.1", 
            "title": "Degree of integrated water resources management (IWRM) implementation (0-100)", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "UNEP, on behalf of UN-Water. Under the UN-Water umbrella, the GEMI monitoring initiative (see further information and description under 6.3.1), will draw on UNEP-DHI data, which are available for 134 countries. This can be used to provide a baseline for measurements. The UN World Water Assessment Programme (WWAP) initiated a project in 2014 to develop a methodology for gender-disaggregated data collection and produce gender-sensitive indicators. In November 2014, the Gender-Disaggregated Indicators presented by WWAP were officially endorsed by the African Ministers' Council on Water (AMCOW). AMCOW officially committed to 'establish national targets and a monitoring and evaluation framework for each of the seven pillars of the AMCOW gender policy and strategy, including sex-disaggregated indicators in the African context following guidelines developed by WWAP, by 2016.'", 
            "data-sources": "Data for 134 countries are available from UNEP-DHI (e.g. http://www.unepdhi.org/rioplus20 (see data file zip link) - full data available on request). Data are collected through the use of national IWRM questionnaires (one per country), measuring both qualitative and quantitative aspects of IWRM. This approach has been successfully applied to measure the status of IWRM for the Commission on Sustainable Development in both 2008 and 2012 (Rio+20). Results can easily be disaggregated to give a more nuanced picture of status both at national and regional (transboundary) levels.", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 6, 
            "targets": {
                "primary-target": "6.6", 
                "other-targets": "9.1, 9.2, 11.5, 11.6, 11.7, 12.2, 12.4, 13.1, 14.1, 14.2, 14.5, 15.1, 15.2, 15.3"
            }, 
            "indicator": "6.6.1", 
            "title": "Percentage of change in fresh water ecosystem", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "modified-Aug2015, Nov2015-green", 
            "leads": "", 
            "data-sources": "", 
            "available": "", 
            "category": ""
        }, 
        {
            "goal": 6, 
            "targets": {
                "primary-target": "6.a", 
                "other-targets": ""
            }, 
            "indicator": "6.a.1", 
            "title": "ODA for water and sanitation related activities and programmes", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "OECD-DAC", 
            "data-sources": "OECD-DAC", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 6, 
            "targets": {
                "primary-target": "6.b", 
                "other-targets": ""
            }, 
            "indicator": "6.b.1", 
            "title": "Percentage of local administrative units with established and operational policies and procedures for participation of local communities in water and sanitation management.", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Nov2015-green", 
            "leads": "", 
            "data-sources": "", 
            "available": "", 
            "category": ""
        }, 
        {
            "goal": 7, 
            "targets": {
                "primary-target": "7.1", 
                "other-targets": ""
            }, 
            "indicator": "7.1.1", 
            "title": "Percentage of population with electricity access (%)", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "World Bank (as part of SE4All)", 
            "data-sources": "", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 7, 
            "targets": {
                "primary-target": "7.1", 
                "other-targets": ""
            }, 
            "indicator": "7.1.2", 
            "title": "Percentage of population with primary reliance on clean fuels and technology", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "modified-Aug2015, Nov2015-green", 
            "leads": "", 
            "data-sources": "", 
            "available": "", 
            "category": ""
        }, 
        {
            "goal": 7, 
            "targets": {
                "primary-target": "7.2", 
                "other-targets": ""
            }, 
            "indicator": "7.2.1", 
            "title": "Renewable energy share in the total final energy consumption (%); or Renewable energy share in the total primary energy consumption (%)", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "modified-Aug2015, Nov2015-green", 
            "leads": "", 
            "data-sources": "", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 7, 
            "targets": {
                "primary-target": "7.3", 
                "other-targets": "7.3"
            }, 
            "indicator": "7.3.1", 
            "title": "Rate of improvement in energy intensity (%) measured in terms of primary energy and GDP", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "", 
            "data-sources": "", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 7, 
            "targets": {
                "primary-target": "7.a, 13.a", 
                "other-targets": ""
            }, 
            "indicator": "7.a.1", 
            "title": "Mobilized amount of USD per year starting in 2020 accountable towards the USD 100 billion commitment", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Nov2015-green", 
            "leads": "UNFCCC", 
            "data-sources": "", 
            "available": "", 
            "category": ""
        }, 
        {
            "goal": 7, 
            "targets": {
                "primary-target": "7.b", 
                "other-targets": "7.3"
            }, 
            "indicator": "7.b.1", 
            "title": "Ratio of value added to net domestic energy use, by industry.", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "UNSD", 
            "data-sources": "Energy productivity indicators defined as value added generated over net domestic energy use. Such indicator can be calculated at the aggregate economy-wide level, as well as by industry and by primary energy source.", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 8, 
            "targets": {
                "primary-target": "8.1", 
                "other-targets": ""
            }, 
            "indicator": "8.1.1", 
            "title": "GDP per capita, PPP", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "World Bank", 
            "data-sources": "World Bank", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 8, 
            "targets": {
                "primary-target": "8.2", 
                "other-targets": ""
            }, 
            "indicator": "8.2.1", 
            "title": "Growth rate of GDP per employed person", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "WB and ILO", 
            "data-sources": "GDP figures based on National Accounts and employment figures on Household surveys.", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 8, 
            "targets": {
                "primary-target": "8.3", 
                "other-targets": "8.5, 8.8"
            }, 
            "indicator": "8.3.1", 
            "title": "Share of informal employment in non-agriculture employment by sex.", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "Responsible entity: ILO. Availability: Share of informal employment available for 62 countries.", 
            "data-sources": "Household surveys (LFS, HIES, LSMS, Integrated HH surveys, etc.).", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 8, 
            "targets": {
                "primary-target": "8.4", 
                "other-targets": "9.4, 12.1, 12.2"
            }, 
            "indicator": "8.4.1", 
            "title": "Resource productivity.", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "- UNEP/International resources panel is responsible for policy application of data but not on the data collection and dissemination per se. - UNIDO: Data are partially available for international reporting - The System of Environmental Economic Accounts provides a standard methodology for calculating this indicator. However, no international data collection mechanism is yet in place and countries are still in implementation phase.", 
            "data-sources": "- Statistical surveys and administrative data on material use and value added collected from the national statistics office", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 8, 
            "targets": {
                "primary-target": "8.5", 
                "other-targets": "10.3, 10.4"
            }, 
            "indicator": "8.5.1", 
            "title": "Average hourly earnings of female and male employees by occupations (Wages/Gender wage gap)", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "Responsible entity: ILO. Availability: Hourly earnings and gender wage gap: 66 countries.", 
            "data-sources": "Household surveys (LFS, HIES, LSMS, Integrated HH surveys, etc.), Establishment surveys, Administrative records.", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 8, 
            "targets": {
                "primary-target": "8.5", 
                "other-targets": "8.6"
            }, 
            "indicator": "8.5.2", 
            "title": "Unemployment rate by sex, age-group and disability.", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "Responsible entity: ILO. Availability: 224 countries.", 
            "data-sources": "Household surveys (LFS, HIES, LSMS, Integrated HH surveys, etc.), Administrative records.", 
            "available": "Tier I/II", 
            "category": ""
        }, 
        {
            "goal": 8, 
            "targets": {
                "primary-target": "8.6", 
                "other-targets": ""
            }, 
            "indicator": "8.6.1", 
            "title": "Percentage of youth (15-24) not in education, employment or training (NEET)", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "Responsible entity: ILO/OECD.  Availability: 88 countries.", 
            "data-sources": "Household surveys (LFS, HIES, LSMS, Integrated HH surveys, etc.), Administrative records.", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 8, 
            "targets": {
                "primary-target": "8.7", 
                "other-targets": "4.1, 8.8, 16.2"
            }, 
            "indicator": "8.7.1", 
            "title": "Percentage and number of children aged 5-17 years engaged in child labour, per sex and age group (disaggregated by the worst forms of child labour)", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "Responsible entity: ILO. Availability: Data available for about 60 countries (at least one data set collected in each of past 5 years for generating estimates of the proposed indicators).", 
            "data-sources": "Household surveys (Child Labour Surveys, Mixed Surveys, LFS, HIES, LSMS, Integrated HH surveys, etc.).", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 8, 
            "targets": {
                "primary-target": "8.8", 
                "other-targets": "8.5"
            }, 
            "indicator": "8.8.1", 
            "title": "Frequency rates of fatal and non-fatal occupational injuries and time lost due to occupational injuries by gender and migrant status", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "Responsible entity: ILO. Availability: Fatal rate: 117 countries; Non-fatal rate: 89 countries; Time lost: 107 countries. Breakdown by migrant status not currently available.", 
            "data-sources": "Household surveys (LFS, HIES, LSMS, Integrated HH surveys, etc.), Official estimates, Establishment surveys, Administrative records.", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 8, 
            "targets": {
                "primary-target": "8.8", 
                "other-targets": "8.5"
            }, 
            "indicator": "8.8.2", 
            "title": "Number of ILO conventions ratified by type of convention", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "Responsible entity: ILO. Availability: All ILO member states (185). Breakdown by type of ILO convention (fundamental, governance, technical).", 
            "data-sources": "NORMLEX (Information System on International Labour Standards of the ILO).", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 8, 
            "targets": {
                "primary-target": "8.9", 
                "other-targets": ""
            }, 
            "indicator": "8.9.1", 
            "title": "Tourism direct GDP (as % of total GDP and in growth rate); and Number of jobs in tourism industries (as % total jobs and growth rate of jobs, by sex)", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "World Tourism Organisation (UNWTO). Currently around 60 countries have a fully developed System of Tourism Statistics that allows to construct a Tourism Satellite Account (TSA) and obtain economic aggregates like tourism GDP. All countries have at least a basic system of Tourism Statistics that allows to gather information about physical flows and monetary aggregates like tourism expenditures.", 
            "data-sources": "Existing data sources: National Statistical Offices and National Tourism Administrations. Not all countries have GDP figures for tourism, therefore value added could be used instead. The same applies for employment: not all countries count the number of jobs, some will have only the number of employees (or the full-time equivalents) which is a good substitute.", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 8, 
            "targets": {
                "primary-target": "8.10", 
                "other-targets": ""
            }, 
            "indicator": "8.10.1", 
            "title": "Number of commercial bank branches and ATMs per 100,000 adults", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "IMF Financial Access Survey/189 countries", 
            "data-sources": "", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 8, 
            "targets": {
                "primary-target": "8.10", 
                "other-targets": "1.4, 2.3, 5.a, 8.10"
            }, 
            "indicator": "8.10.2", 
            "title": "% of adults with a formal account or personally using a mobile money service in the past 12 months. Possible to have a break down by income e.g. bottom 40% of income share or <$1.25/day, by gender, age (youth) and rural. Adults: ages 15+", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "World Bank. Data availability: ~ 145 countries. Triennial. Available for 2011 and 2014.", 
            "data-sources": "World Bank Global Findex (individual survey - added module to Gallup World Poll)", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 8, 
            "targets": {
                "primary-target": "8.a", 
                "other-targets": ""
            }, 
            "indicator": "8.a.1", 
            "title": "Aid for Trade Commitments and Disbursements", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "WTO/OECD", 
            "data-sources": "OECD/WTO", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 8, 
            "targets": {
                "primary-target": "8.b", 
                "other-targets": ""
            }, 
            "indicator": "8.b.1", 
            "title": "Total government spending in social protection and employment programmes as percentage of the national budgets and GDP and collective bargaining rates", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "Responsible entity: ILO. Availability: Collective bargaining rates available for 84 countries.", 
            "data-sources": "Household surveys (LFS, HIES, LSMS, Integrated HH surveys, etc.), Official estimates, Establishment surveys, Administrative records.", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 9, 
            "targets": {
                "primary-target": "9.1", 
                "other-targets": "2.3, 11.2"
            }, 
            "indicator": "9.1.1", 
            "title": "Share of the rural population who live within 2km of an all season road", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "Methodology and initial test country data to be completed by June, data to be available for 7 pilot countries by Dec 2015, with dramatic expansion planned in 2016.", 
            "data-sources": "For Rural access, while historic data based on household surveys exists for many countries, current efforts are underway by the World Bank, DFID, and others to develop a new methodology using GIS data.", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 9, 
            "targets": {
                "primary-target": "9.1", 
                "other-targets": "2.3, 11.2"
            }, 
            "indicator": "9.1.2", 
            "title": "Passenger and freight volumes", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "World Bank, Passenger and freight data available from World Development Indicators, Baseline data exists for [80] countries, with the new methodology to be applied in an expanding set of countries.", 
            "data-sources": "For Passenger and Freight volumes, data available from World Bank World Development Indicators.", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 9, 
            "targets": {
                "primary-target": "9.2", 
                "other-targets": ""
            }, 
            "indicator": "9.2.1", 
            "title": "Manufacturing Value Added in share of total value added", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "modified-Aug2015, Nov2015-green", 
            "leads": "UNIDO; Data are available in UNIDO for more than 200 economies", 
            "data-sources": "MVA data are available in a large number of countries. Currently UNIDO maintains the World MVA database which contains data for about 200 economies. Data are presented at constant and current prices. Data can be presented for country groups (LDCs, LLDC) and the world regions.", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 9, 
            "targets": {
                "primary-target": "9.2", 
                "other-targets": "8.5.1"
            }, 
            "indicator": "9.2.2", 
            "title": "Manufacturing employment, in percent to total employment", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "UNIDO Data are available in UNIDO for more than 180 countries", 
            "data-sources": "Industrial surveys (NSOs) and UNIDO Gender disaggregated data available", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 9, 
            "targets": {
                "primary-target": "9.3", 
                "other-targets": ""
            }, 
            "indicator": "9.3.1", 
            "title": "Percentage share of (M) small scale industries' value added in total industry value added", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "Industrial surveys (NSO) and UNIDO/ UNIDO", 
            "data-sources": "Refers to valued added of small industries in relation to total value added (See UNIDO technical notes)", 
            "available": "Tier I/II", 
            "category": ""
        }, 
        {
            "goal": 9, 
            "targets": {
                "primary-target": "9.3", 
                "other-targets": ""
            }, 
            "indicator": "9.3.2", 
            "title": "Percentage of SME with a loan or line of credit", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Nov2015-green", 
            "leads": "", 
            "data-sources": "", 
            "available": "", 
            "category": ""
        }, 
        {
            "goal": 9, 
            "targets": {
                "primary-target": "9.4", 
                "other-targets": "8.5.1"
            }, 
            "indicator": "9.4.1", 
            "title": "Carbon emission per unit of value added", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "UNIDO. Data available for more than 150 countries for international reporting", 
            "data-sources": "Industrial surveys (NSO) / UNIDO database and estimates of emission", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 9, 
            "targets": {
                "primary-target": "9.5", 
                "other-targets": "2a, 3b, 12a, 14a, 17.6, 17.7"
            }, 
            "indicator": "9.5.1", 
            "title": "R&D expenditure as a percentage of GDP", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "UNESCO-UIS. Data available for about 135 countries for international reporting", 
            "data-sources": "Research and development surveys (NSO, Line ministries)", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 9, 
            "targets": {
                "primary-target": "9.a", 
                "other-targets": ""
            }, 
            "indicator": "9.a.1", 
            "title": "Amount of investments in infrastructure as a % of GDP", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "Data not available for international reporting", 
            "data-sources": "Central Bank data", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 9, 
            "targets": {
                "primary-target": "9.b", 
                "other-targets": ""
            }, 
            "indicator": "9.b.1", 
            "title": "Percentage share of medium and high-tech (MHT) industry value added in total value added", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "UNIDO. Data available for more than 150 countries for international reporting", 
            "data-sources": "Industrial surveys (NSO), UNIDO", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 9, 
            "targets": {
                "primary-target": "9.c", 
                "other-targets": "1.4, 2.3, 2.c, 9.1, 11.b, 13.1,"
            }, 
            "indicator": "9.c.1", 
            "title": "Percentage of the population covered by a mobile network, by technology", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "ITU collects data annually. By 2014, data on 2G mobile population coverage were available for about 144 countries, from developed and developing regions, and covering all key global regions. Data on 3G mobile population coverage were available for 135 countries.", 
            "data-sources": "Data are produced by national regulatory telecom authorities or Information and Communication Technology Ministries, who collect the data from Internet service providers. By 2014, data on 2G mobile population coverage were available for about 144 countries, from developed and developing regions, and covering all key global regions. Data on 3G mobile population coverage were available for 135 countries.", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 10, 
            "targets": {
                "primary-target": "10.1", 
                "other-targets": "1.2"
            }, 
            "indicator": "10.1.1", 
            "title": "Growth rates of household expenditure or income per capita among the bottom 40 percent of the population and the total population", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "World Bank", 
            "data-sources": "Household Surveys", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 10, 
            "targets": {
                "primary-target": "10.2", 
                "other-targets": "1.2"
            }, 
            "indicator": "10.2.1", 
            "title": "Proportion of people living below 50% of median income disaggregated by age and sex", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "UNDESA. OECD. Widely available for OECD and EU countries.", 
            "data-sources": "National income and expenditure surveys.", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 10, 
            "targets": {
                "primary-target": "10.3", 
                "other-targets": "10.2, 10.3, 16.3, 16.b"
            }, 
            "indicator": "10.3.1", 
            "title": "Percentage of population reporting having personally felt discriminated against or harassed within the last 12 months on the basis of a ground of discrimination prohibited under international human rights law", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "Data available at regional level, e.g. EU Fundamental Rights Agency collects for all 28 EU Member States. No current global collector.", 
            "data-sources": "Survey", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 10, 
            "targets": {
                "primary-target": "10.4", 
                "other-targets": "8.b.1"
            }, 
            "indicator": "10.4.1", 
            "title": "Labour share of GDP, comprising wages and social protection transfers", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "Responsible entities: IMF, ILO. Availability: 200 countries.", 
            "data-sources": "SNA, IMF Government Finance Statistics, ILO", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 10, 
            "targets": {
                "primary-target": "10.5", 
                "other-targets": ""
            }, 
            "indicator": "10.5.1", 
            "title": "Adoption of a financial transaction tax (Tobin tax) at a world level", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "", 
            "data-sources": "", 
            "available": "Tier III", 
            "category": ""
        }, 
        {
            "goal": 10, 
            "targets": {
                "primary-target": "10.6, 16.8", 
                "other-targets": "16.3, 16.7, 17.10"
            }, 
            "indicator": "10.6.1", 
            "title": "Percentage of members or voting rights of developing countries in international organizations.", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "United Nations/DESA. Data would be available for all international organizations.", 
            "data-sources": "Administrative data of international organizations.", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 10, 
            "targets": {
                "primary-target": "10.7", 
                "other-targets": "8.8, 10.7"
            }, 
            "indicator": "10.7.1", 
            "title": "Recruitment cost born by employee as percentage of yearly income earned in country of destination.", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "National Statistical offices, Ministries of Labour. GMG", 
            "data-sources": "Annual cost surveys based on household surveys, labour force surveys or ad hoc surveys.", 
            "available": "Tier III", 
            "category": ""
        }, 
        {
            "goal": 10, 
            "targets": {
                "primary-target": "10.7", 
                "other-targets": "5.2, 8.8, 10.7, 16.1, 16.2"
            }, 
            "indicator": "10.7.2", 
            "title": "International Migration Policy Index", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "Collective effort by members of the Global Migration Group, supported by national governments and statistical agencies", 
            "data-sources": "Government agencies, including reporting to follow-up mechanisms of relevant human rights instruments. The United Nations Inquiry among Governments on Population and Development. World Population Policies Database. Migration Profiles. Existing migration policy indices", 
            "available": "Tier III", 
            "category": ""
        }, 
        {
            "goal": 10, 
            "targets": {
                "primary-target": "10.7", 
                "other-targets": "5.2, 16.2"
            }, 
            "indicator": "10.7.3", 
            "title": "Number of detected and non-detected victims of human trafficking per 100,000; by sex, age and form of exploitation", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "UNODC, Data on the number of detected victims of TIP is available for over 130 countries", 
            "data-sources": "National governments/Field studies", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 10, 
            "targets": {
                "primary-target": "10.a", 
                "other-targets": "17.1"
            }, 
            "indicator": "10.a.1", 
            "title": "Share of tariff lines applied to imports from LDCs/developing countries with zero-tariff", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "TRAINS data is available for 180+ countries", 
            "data-sources": "Computed with data from TRAINS-UNCTAD.", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 10, 
            "targets": {
                "primary-target": "10.b", 
                "other-targets": ""
            }, 
            "indicator": "10.b.1", 
            "title": "OECD ODA data, disaggregated by recipient and donor countries", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "OECD", 
            "data-sources": "OECD", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 10, 
            "targets": {
                "primary-target": "10.c", 
                "other-targets": "10.7, 17.3"
            }, 
            "indicator": "10.c.1", 
            "title": "Remittance costs as a percentage of the amount remitted", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "World Bank", 
            "data-sources": "Data already collected through quarterly surveys in 226 migration corridors. Information is compiled in existing remittance price database: http://remittanceprices.worldbank.org/en, (survey based, mystery shopping)", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 11, 
            "targets": {
                "primary-target": "11.1", 
                "other-targets": "1.4, 1.a, 5.4, 6.1, 6.2, 6.3, 6.4."
            }, 
            "indicator": "11.1.1", 
            "title": "Proportion of urban population living in slums, informal settlement, or inadequate housing", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "modified-Aug2015, Nov2015-green", 
            "leads": "UN-HABITAT. The data is available for all countries in the world. Global Urban Observatory and City Prosperity Initiative.", 
            "data-sources": "Census, DHS, MICs and household surveys", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 11, 
            "targets": {
                "primary-target": "11.2", 
                "other-targets": "3.9, 7.3"
            }, 
            "indicator": "11.2.1", 
            "title": "Proportion of the population that has convenient access to public transport", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "modified-Aug2015, Nov2015-green", 
            "leads": "Potential lead Agency UN-Habitat. Data is not yet available.", 
            "data-sources": "Administrative city information and private/public transport companies. Community-based information", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 11, 
            "targets": {
                "primary-target": "11.3", 
                "other-targets": "2.1, 3.9, 6.4, 6.6, 11.a, 11.1, 11.b, 12.1, 13.2, 15.3, 15.4"
            }, 
            "indicator": "11.3.1", 
            "title": "Ratio of land consumption rate to population growth rate", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "modified-Aug2015, Nov2015-green",
            "leads": "UN-HABITAT. The data is available for all countries in the world. The City Prosperity Initiative is collecting data for this indicator in more than 300 cities. Lincoln Institute and University of New York and UN-Habitat collect for a Global Sample of Cities (200 cities)", 
            "data-sources": "population growth (UNDESA). Satellite images of cities (open source).", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 11, 
            "targets": {
                "primary-target": "11.3", 
                "other-targets": ""
            }, 
            "indicator": "11.3.2", 
            "title": "Percentage of cities with direct participation structure of civil society in urban planning and management, which operates regularly and democratically", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Dec2015-grey",
            "leads": "", 
            "data-sources": "", 
            "available": "", 
            "category": ""
        }, 
        {
            "goal": 11, 
            "targets": {
                "primary-target": "11.4", 
                "other-targets": "8.9, 11,7, 12.b"
            }, 
            "indicator": "11.4.1", 
            "title": "Share of national (or municipal) budget which is dedicated to preservation, protection and conservation of national cultural natural heritage including World Heritage sites", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "UNESCO-UIS (but there are no current data collections for this), UN-HABITAT", 
            "data-sources": "Ministry of Finance/Budget and National Statistical Offices", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 11, 
            "targets": {
                "primary-target": "11.5", 
                "other-targets": "1.5, 13.1, 14.2, 15.3"
            }, 
            "indicator": "11.5.1", 
            "title": "Number of deaths, missing people, injured, relocated or evacuated due to disasters per 100,000 people.", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "UNISDR", 
            "data-sources": "National Disaster Loss Databases, 85 (will be more than 115 by 2016)", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 11, 
            "targets": {
                "primary-target": "11.6", 
                "other-targets": "12.3, 12.5"
            }, 
            "indicator": "11.6.1", 
            "title": "Percentage of urban solid waste regularly collected and with adequate final discharge with regards to the total waste generated by the city.", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "modified-Aug2015, Nov2015-green", 
            "leads": "UN-Habitat and WHO", 
            "data-sources": "Municipal bodies or private contractors. Informal collection data from NGOs and community organizations", 
            "available": "Tier III", 
            "category": ""
        }, 
        {
            "goal": 11, 
            "targets": {
                "primary-target": "11.6", 
                "other-targets": "3.9.1"
            }, 
            "indicator": "11.6.2", 
            "title": "Annual mean levels of fine particulate matter (i.e. PM2.5 and PM10) in cities (population weighted)", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "modified-Aug2015, Nov2015-green", 
            "leads": "UNEP, UN-Habitat", 
            "data-sources": "Municipal bodies or private contractor", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 11, 
            "targets": {
                "primary-target": "11.7", 
                "other-targets": "12.b, 16.1"
            }, 
            "indicator": "11.7.1", 
            "title": "The average share of the built-up area of cities that is open space in public use for all", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "modified-Aug2015, Nov2015-green", 
            "leads": "UN-Habitat", 
            "data-sources": "Satellite imagery (open sources), legal documents outlining publicly owned land, community-based maps", 
            "available": "Tier III", 
            "category": ""
        }, 
        {
            "goal": 11, 
            "targets": {
                "primary-target": "11.7", 
                "other-targets": ""
            }, 
            "indicator": "11.7.2", 
            "title": "Proportion of women subjected to physical or sexual harassment by perpetrator and place of occurrence (last 12 months)", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Dec2015-grey",
            "leads": "", 
            "data-sources": "", 
            "available": "", 
            "category": ""
        }, 
        {
            "goal": 11, 
            "targets": {
                "primary-target": "11.a", 
                "other-targets": ""
            }, 
            "indicator": "11.a.1", 
            "title": "Cities with more than 100,000 inhabitants that implement urban and regional development plans integrating population projections and resource needs", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "UNFPA , UN-Habitat, DESA", 
            "data-sources": "UNDESA, Census information, city data", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 11, 
            "targets": {
                "primary-target": "11.b", 
                "other-targets": "13.3"
            }, 
            "indicator": "11.b.1", 
            "title": "Percent of cities that are implementing risk reduction and resilience strategies aligned with accepted international frameworks (such as the successor to the Hyogo Framework for Action on Disaster Risk Reduction) that include vulnerable and marginalized groups in their design, implementation and monitoring.", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "modified-Aug2015, Nov2015-green, Dec2015-grey", 
            "leads": "UN-Habitat, World Bank, ICLEI, UNISDR, Rockefeller Foundation, 100 Resilient Cities, Global Facility for Disaster Reduction and Reconstruction, Interamerican Development Bank, and C40 Climate Leadership Group", 
            "data-sources": "Government data, OCHA, NGO sources, UNHCR, IOM and IDMC", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 11, 
            "targets": {
                "primary-target": "11.c", 
                "other-targets": ""
            }, 
            "indicator": "11.c.1", 
            "title": "Percentage of financial support that is allocated to the construction and retrofitting of sustainable, resilient and resource-efficient buildings", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "UN-Habitat, World Bank", 
            "data-sources": "National accounts and state, provincial and local budgets", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 12, 
            "targets": {
                "primary-target": "12.1", 
                "other-targets": "2.4, 4.7, 8.4, 8.9, 9a, 11c, 12.3, 12.7, 12.8, 12.a, 12.b, 14.7, 17.16, 17.19"
            }, 
            "indicator": "12.1.1", 
            "title": "Number of countries with SCP National Actions Plans or SCP mainstreamed as a priority or target into national policies, poverty reduction strategies and sustainable development strategies", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "UNEP", 
            "data-sources": "Data not available currently - quantitative data will be provided by mid-2015 as a result of the first Global Survey on SCP, and conducted on a regular basis", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 12, 
            "targets": {
                "primary-target": "12.2", 
                "other-targets": "8.4, 12.5"
            }, 
            "indicator": "12.2.1", 
            "title": "Material footprint (MF) and MF/capita", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "UNEP/OECD. The OECD's Input/output tables could be used to compute this; see http://www.oecd.org/trade/input-outputtables.htm.", 
            "data-sources": "For MF doable for the last two decades based on material extraction satellite accounts and standard MRIOs such as EXIOBASE, EORA or GTAP-WDIO; for DMI: reliable data available from UNEP and Eurostat for the last four decades", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 12, 
            "targets": {
                "primary-target": "12.3", 
                "other-targets": ""
            }, 
            "indicator": "12.3.1", 
            "title": "Global Food Loss Index (GFLI)", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "FAO will compile the indicator on a regular basis as part of the Food Balance Sheets in FAOSTAT", 
            "data-sources": "The indicator is primarily model-based. The calculation of the indicator relies on primary data collected from government agencies in the Agricultural Production Questionnaire or harvested from official publications and other sources.", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 12, 
            "targets": {
                "primary-target": "12.4", 
                "other-targets": "17.14"
            }, 
            "indicator": "12.4.1", 
            "title": "Number of Parties to international multilateral environmental agreements on hazardous and other chemicals and waste that meet their commitments and obligations in transmitting information as required by each relevant agreement", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "Secretariat of the Basel, Rotterdam and Stockholm Conventions, Interim Secretariat of the Minamata Convention, SAICM Secretariat . Countries covered: 183 Parties of the Basel Convention, 154 Parties to the Rotterdam Convention and 179 countries to the Stockholm Convention; Montreal Protocol Data are available for up to 196 countries.", 
            "data-sources": "Very good availability of information through the Secretariat of the Basel, Rotterdam and Stockholm Conventions, SAICM, Minamata Convention, and Montreal Protocol(Ozone).", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 12, 
            "targets": {
                "primary-target": "12.4", 
                "other-targets": ""
            }, 
            "indicator": "12.4.2", 
            "title": "Treatment of waste, generation of hazardous waste (tonnes), hazardous waste management by type of treatment", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Dec2015-grey",
            "leads": "", 
            "data-sources": "", 
            "available": "", 
            "category": ""
        }, 
        {
            "goal": 12, 
            "targets": {
                "primary-target": "12.5", 
                "other-targets": "11.6"
            }, 
            "indicator": "12.5.1", 
            "title": "National recycling rate, tonnes of material recycled", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "Secretariat of the Basel, Rotterdam and Stockholm Conventions (partly). Countries covered: 183 Parties of the Basel Convention, 154 Parties to the Rotterdam Convention and 179 countries to the Stockholm Convention, UNSD", 
            "data-sources": "For national recycling rate: poor data availability and quality, waste and recycling statistics not well standardized, waste amount often underestimated; for 're-used goods': data availability and quality unknown, no info about such data collection so far. But Basel Convention (National reports) include information on the generation of hazardous and other wastes, also with the indication which wastes are destined for recycling and which are for disposal).", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 12, 
            "targets": {
                "primary-target": "12.6", 
                "other-targets": "12.8"
            }, 
            "indicator": "12.6.1", 
            "title": "Number of companies publishing sustainability reports", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "UNEP, GRI", 
            "data-sources": "Very Good; GRI, IIRC, UNGC or SASB all have data on company reporting and reporting content (though this would need to be pulled together and mapped against the companies listed in the Fortune Global 500", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 12, 
            "targets": {
                "primary-target": "12.7", 
                "other-targets": "8.4, 12.2"
            }, 
            "indicator": "12.7.1", 
            "title": "Number of countries implementing Sustainable Public Procurement policies and action plans", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "UNEP", 
            "data-sources": "Medium. Easy access to adopted policies and action plans - more difficult to have proof of implementation", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 12, 
            "targets": {
                "primary-target": "12.8", 
                "other-targets": "4.1, 4.7, 8.4, 12.1, 12.8"
            }, 
            "indicator": "12.8.1", 
            "title": "Percentage of educational institutions with formal and informal education curricula on sustainable development and lifestyle topics", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "modified-Aug2015, Dec2015-grey", 
            "leads": "Union for Ethical Biotrade (Indicator under the BIP)", 
            "data-sources": "Data availability is poor. One source focusing on biodiversity is the Biodiversity Barometer (http://www.bipindicators.net/biodiversitybarometer) but other sources are still under development.", 
            "available": "Tier III", 
            "category": ""
        }, 
        {
            "goal": 12, 
            "targets": {
                "primary-target": "12.a", 
                "other-targets": "8.9, 14.7"
            }, 
            "indicator": "12.a.1", 
            "title": "Number of qualified green patent applications over total", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "modified-Aug2015, Dec2015-grey", 
            "leads": "WIPO", 
            "data-sources": "Poor; however, different patent granting norms prevail across countries. Green/SCP related patents can be selected from these databases", 
            "available": "Tier III", 
            "category": ""
        }, 
        {
            "goal": 12, 
            "targets": {
                "primary-target": "12.b", 
                "other-targets": ""
            }, 
            "indicator": "12.b.1", 
            "title": "Residual flows generated as a result of tourism direct GDP (derived from an extended version of the System of Environmental-Economic Accounting (SEEA) for tourism)", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "World Tourism Organisation (UNWTO) does not collect this data since the conceptual framework is not yet in place.", 
            "data-sources": "to be developed: National Statistical Offices", 
            "available": "Tier III", 
            "category": ""
        }, 
        {
            "goal": 12, 
            "targets": {
                "primary-target": "12.c", 
                "other-targets": "13.2"
            }, 
            "indicator": "12.c.1", 
            "title": "Amount of fossil fuel subsidies, per unit of GDP (production and consumption), and as proportion of total national expenditure on fossil fuels", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "IEA", 
            "data-sources": "Good; EA is estimating fossil fuel subsidies in a regular manner, within the framework of the World Energy Outlook with database. Considerably less information on producer subsidies.", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 13, 
            "targets": {
                "primary-target": "13.1", 
                "other-targets": "1.5, 11.5, 14.2, 15.3"
            }, 
            "indicator": "13.1.1", 
            "title": "Number of deaths, missing people, injured, relocated or evacuated due to disasters per 100,000 people.", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "UNISDR", 
            "data-sources": "National Disaster Loss Databases, 85 (will be more than 115 by 2016)", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 13, 
            "targets": {
                "primary-target": "13.2", 
                "other-targets": "17.16"
            }, 
            "indicator": "13.2.1", 
            "title": "Number of countries that have formally communicated the establishment of integrated low-carbon, climate-resilient, disaster risk reduction development strategies (e.g. a national adaptation plan process, national policies and measures to promote transition to environmentally-friendly substances and technologies).", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "Secretariats for IMEAs. Under the Montreal Protocol, such policies have been communicated by over 40 countries so far.", 
            "data-sources": "Comment: The additional text proposed in the modified indicator aims to highlight the mitigation aspects of the relevant strategies. Information from National reports of relevant conventions", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 13, 
            "targets": {
                "primary-target": "13.3", 
                "other-targets": ""
            }, 
            "indicator": "13.3.1", 
            "title": "Number of countries that have integrated mitigation, adaptation, impact reduction and early warning into primary, secondary and tertiary curricula", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "UNICEF", 
            "data-sources": "", 
            "available": "Tier III", 
            "category": ""
        }, 
        {
            "goal": 13, 
            "targets": {
                "primary-target": "13.a, 7.a", 
                "other-targets": ""
            }, 
            "indicator": "13.a.1", 
            "title": "Mobilized amount of USD per year starting in 2020 accountable towards the USD 100 billion commitment", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "UNFCCC", 
            "data-sources": "", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 13, 
            "targets": {
                "primary-target": "13.b", 
                "other-targets": ""
            }, 
            "indicator": "13.b.1", 
            "title": "Number of LDCs and SIDs that are receiving specialized support for mechanisms for raising capacities for effective climate change related planning and management, including focusing on women, youth, local and marginalized communities", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "modified-Aug2015, Dec2015-grey", 
            "leads": "OECD", 
            "data-sources": "", 
            "available": "Tier III", 
            "category": ""
        }, 
        {
            "goal": 14, 
            "targets": {
                "primary-target": "14.1", 
                "other-targets": ""
            }, 
            "indicator": "14.1.1", 
            "title": "Nitrogen use efficiency composite indicator", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "(sources will be identified)", 
            "data-sources": "GPNM and the European Nitrogen Expert Panel)", 
            "available": "Tier III", 
            "category": ""
        }, 
        {
            "goal": 14, 
            "targets": {
                "primary-target": "14.2", 
                "other-targets": ""
            }, 
            "indicator": "14.2.1", 
            "title": "% of coastal and marine development (to be defined) with formulated or implemented ICM/MSP plans (that are harmonized where applicable), based on an ecosystem approach, that builds resilient human communities and ecosystems and provides for equitable sharing and decent work", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "(sources will be identified)", 
            "data-sources": "UNEP will be monitoring a similar indicator under its Programme of Work 2016-2017 adopted by Member States. The process can support monitoring of revised indicator 14.2.1.", 
            "available": "Tier III", 
            "category": ""
        }, 
        {
            "goal": 14, 
            "targets": {
                "primary-target": "14.3", 
                "other-targets": ""
            }, 
            "indicator": "14.3.1", 
            "title": "Average marine acidity (pH) measured at agreed suite of representative sampling stations", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "", 
            "data-sources": "Marine acidity - SEEA Experimental Ecosystem Accounting condition accounts for Marine and coastal areas can be used as measurement framework for acidity.", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 14, 
            "targets": {
                "primary-target": "14.4", 
                "other-targets": ""
            }, 
            "indicator": "14.4.1", 
            "title": "Proportion of fish stocks within biologically sustainable level", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "FAO has maintained and reported this indicator since 1974. The assessment is done at global level, not at country level, so is not comparable among countries", 
            "data-sources": "FAO has estimates for 584 fish stocks around world, representing 70% of global landings.", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 14, 
            "targets": {
                "primary-target": "14.5", 
                "other-targets": "6.6, 14.2, 14.5, 15.1, 15.4"
            }, 
            "indicator": "14.5.1", 
            "title": "Coverage of protected areas in relation to marine areas", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "modified-Aug2015, Nov2015-green", 
            "leads": "UNEP-WCMC (Indicator under the BIP)", 
            "data-sources": "World Database on Protected Areas (WDPA)", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 14, 
            "targets": {
                "primary-target": "14.6", 
                "other-targets": ""
            }, 
            "indicator": "14.6.1", 
            "title": "Dollar value of negative fishery subsidies against 2015 baseline", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "UNSD", 
            "data-sources": "The SEEA Central Framework provides the measurement framework for environmental subsidies. Further disaggregation may be needed for negative fishery subsidies depending on how they are defined.", 
            "available": "Tier III", 
            "category": ""
        }, 
        {
            "goal": 14, 
            "targets": {
                "primary-target": "14.7", 
                "other-targets": ""
            }, 
            "indicator": "14.7.1", 
            "title": "Fisheries as a % of GDP", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "UNSD", 
            "data-sources": "SEEA Central Framework and the SEEA Agriculture Forestry and Fisheries provide information on the contribution to GDP of fisheries. The Tourism Satellite Accounts provide information on the contribution of GDP to tourism.", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 14, 
            "targets": {
                "primary-target": "14.a", 
                "other-targets": ""
            }, 
            "indicator": "14.a.1", 
            "title": "Budget allocation to research in the field of sustainable marine technology as a percentage of total budget to research", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "modified-Aug2015, Nov2015-green", 
            "leads": "UNEP", 
            "data-sources": "", 
            "available": "Tier III", 
            "category": ""
        }, 
        {
            "goal": 14, 
            "targets": {
                "primary-target": "14.b", 
                "other-targets": ""
            }, 
            "indicator": "14.b.1", 
            "title": "'Proportion of national fishery production by country that are catches by small-medium fishery businesses' or FAO proposal of 'Progress by countries in adopting and implementing legal/regulatory/policy/institutional framework which recognizes and protects access rights for small-scale fisheries'", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Dec2015-grey", 
            "leads": "", 
            "data-sources": "", 
            "available": "", 
            "category": ""
        }, 
        {
            "goal": 14, 
            "targets": {
                "primary-target": "14.c", 
                "other-targets": ""
            }, 
            "indicator": "14.c.1", 
            "title": "Number of countries implementing either legally or programmatically the provisions set out in regional seas protocols and ratification and implementation of the ILO Maritime and Fisheries Conventions", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green, Dec2015-grey", 
            "leads": "ILO", 
            "data-sources": "", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 15, 
            "targets": {
                "primary-target": "15.1", 
                "other-targets": "6.6"
            }, 
            "indicator": "15.1.1", 
            "title": "Forest area as a percentage of total land area", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "FAO carries out global forest resources assessments at 5 year intervals, the results of the FRA 2015 will be released in September 2015 and next assessment will most likely be in 2020", 
            "data-sources": "FAO: Retain as most relevant indicator. The indicator is already included among the indicators for the Millennium Development Goals (MDG) (indicator 7.1 'Proportion of land covered by forest'). In order to provide a precise definition of the indicator, it is crucial to provide a definition of 'Forest' and 'Total Land Area'. According to the FAO definitions, Forest is defined as 'land spanning more than 0.5 hectares with trees higher than 5 meters and a canopy cover of more than 10 percent, or trees able to reach these thresholds in situ. It does not include land that is predominantly under agricultural or urban land use.", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 15, 
            "targets": {
                "primary-target": "15.2", 
                "other-targets": "15.3"
            }, 
            "indicator": "15.2.1", 
            "title": "Forest cover under sustainable forest management", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "FAO maintains this index based on country reporting beginning with the Global Forest Resources Assessment (FRA) 2015. Data is collected globally every 5 years with reporting anticipated in 2015, 2020, 2025 and 2030.", 
            "data-sources": "A quality descriptor is associated with the forest area, forest management planning and operational stakeholder involvement components of the index. Coverage is aggregated to the country level in the country reports. In 2015 some 155 countries reported for most of the elements in the index that add to a total of 2.200 M ha (55% global forest area). A common definition is used for each element so comparability across countries is good.", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 15, 
            "targets": {
                "primary-target": "15.2", 
                "other-targets": ""
            }, 
            "indicator": "15.2.2", 
            "title": "Net permanent forest loss", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Nov2015-green", 
            "leads": "", 
            "data-sources": "", 
            "available": "", 
            "category": ""
        }, 
        {
            "goal": 15, 
            "targets": {
                "primary-target": "15.3", 
                "other-targets": "1.5, 2.3, 2.4, 6.6, 12.2, 13.1, 14.1, 15.1, 15.2, 15.5"
            }, 
            "indicator": "15.3.1", 
            "title": "Percentage of land that is degraded over total land area", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "modified-Aug2015, Nov2015-green, Dec2015-grey", 
            "leads": "UNCCD, UNSD", 
            "data-sources": "** Trends in Land Cover/Land Use: (1) Global: e.g. http://www.glcn.org/databases/se_change_en.jsp, http://www.esa-landcover-cci.org/ (2) Regional: e.g. http://www.eea.europa.eu/data-and-maps/data/corine-land-cover ** Trends in Land Productivity: remote sensing data bases of NDVI and other Vegetation Indices/Variables, e.g. http://gcmd.gsfc.nasa.gov/index.html, http://land.copernicus.eu/global/themes/Vegetation, http://wad.jrc.ec.europa.eu/ ** Trends in Soil Organic Carbon: global spatial layers: Harmonized World Soil Database (HWSD), http://eusoils.jrc.ec.europa.eu/ESDB_Archive/octop/Global.html ** More detail on all elements of data sources may be found in the attached document on meta-data", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 15, 
            "targets": {
                "primary-target": "15.4", 
                "other-targets": "6.6, 14.2, 14.5, 15.1, 15.4"
            }, 
            "indicator": "15.4.1", 
            "title": "Coverage by protected areas of important sites for mountain biodiversity", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "modified-Aug2015, Nov2015-green", 
            "leads": "UNEP-WCMC (Indicator under the BIP) ( http://www.unep-wcmc.org/news/new-unep-report-unveils-world-on-track-to-meet-2020-target-for-protected-areas-on-land-and-sea )", 
            "data-sources": "World Database on Protected Areas (WDPA) ( http://www.protectedplanet.net/ )", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 15, 
            "targets": {
                "primary-target": "15.4", 
                "other-targets": "The proposed Index will provide a meaningful proxy for assessing the progress of all three mountain targets (ie., 6.6, 15.1, 15.4)"
            }, 
            "indicator": "15.4.2", 
            "title": "Mountain Green Cover Index", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "Thanks to the way GLC-SHARE is structured, FAO's Mountain Green Cover Index has a global coverage and it is possible to compute the indicator at the global, regional, national and sub-national level.", 
            "data-sources": "The data set GLC SHARE developed by FAO will be used as basis for the computation of the indicator, jointly with the definition of mountain areas as provided by UNEP-WCMC.", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 15, 
            "targets": {
                "primary-target": "15.5", 
                "other-targets": "15.5, 12.2, 12.4,"
            }, 
            "indicator": "15.5.1", 
            "title": "Red List Index", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "IUCN (Indicator under the BIP)", 
            "data-sources": "IUCN Red List Index ( http://www.iucnredlist.org/about/publication/red-list-index )", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 15, 
            "targets": {
                "primary-target": "15.6", 
                "other-targets": "1.4, 15.6"
            }, 
            "indicator": "15.6.1", 
            "title": "Number of countries that have adopted legislative, administrative and policy frameworks for the implementation of the Nagoya Protocol", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "CBD (Indicator under the BIP)", 
            "data-sources": "CBD Nagoya Protocol Website, List of signatures and ratifications ( http://www.bipindicators.net/NagoyaProtocolratification )", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 15, 
            "targets": {
                "primary-target": "15.7", 
                "other-targets": "15.5"
            }, 
            "indicator": "15.7.1", 
            "title": "Red List Index for species in trade", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green, Dec2015-grey", 
            "leads": "Responsible entities and national availability: IUCN Red List Partnership (http://www.iucnredlist.org/partners/partners-and-technical-support). Available globally since 1980s, and can be disaggregated to national and regional levels (Rodrigues et al. 2014 PLoS ONE 9(11): e113934).", 
            "data-sources": "Data sources: IUCN Red List of Threatened Species (http://www.iucnredlist.org/); specifically for species coded under '5 Biological resource use' in the Threats Classification Scheme (http://www.iucnredlist.org/technical-documents/classification-schemes/threats-classification-scheme).", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 15, 
            "targets": {
                "primary-target": "15.7, 15.c", 
                "other-targets": ""
            }, 
            "indicator": "15.7.2", 
            "title": "Proportion of detected trade in wildlife and wildlife products that is illegal", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "UNODC (in cooperation with the CITES Secretariat)", 
            "data-sources": "1. The records of the legal trade are collected by the CITES Secretariat and are maintained in a database by the UNEP-World Conservation Monitoring Centre, United Kingdom. All CITES Parties are required to report and data availability is good. 2.The wildlife seizure records are being collected by the CITES Secretariat and the World Customs Organization. UNODC has complied these data in a global database which contains over 125,000 seizure incidents at present. 3.Declared values for imported wildlife products. These are collected by national governments and are maintained in the World WISE database by UNODC.", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 15, 
            "targets": {
                "primary-target": "15.8", 
                "other-targets": ""
            }, 
            "indicator": "15.8.1", 
            "title": "Adoption of national legislation relevant to the prevention or control of invasive alien species", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "IUCN ISSG (Indicator under the BIP)", 
            "data-sources": "", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 15, 
            "targets": {
                "primary-target": "15.9", 
                "other-targets": ""
            }, 
            "indicator": "15.9.1", 
            "title": "Number of national development plans and processes integrating biodiversity and ecosystem services values", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "", 
            "data-sources": "", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 15, 
            "targets": {
                "primary-target": "15.a", 
                "other-targets": "1.a"
            }, 
            "indicator": "15.a.1", 
            "title": "Official Development Assistance and public expenditure on conservation and sustainable use of biodiversity and ecosystems", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "modified-Aug2015, Nov2015-green", 
            "leads": "OECD", 
            "data-sources": "OECD (Indicator under the BIP)", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 15, 
            "targets": {
                "primary-target": "15.b", 
                "other-targets": ""
            }, 
            "indicator": "15.b.1", 
            "title": "Forestry official development assistance and forestry FDI", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "OECD", 
            "data-sources": "", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 15, 
            "targets": {
                "primary-target": "15.c, 15.7", 
                "other-targets": ""
            }, 
            "indicator": "15.c.1", 
            "title": "Proportion of detected trade in wildlife and wildlife products that is illegal", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "UNODC (in cooperation with the CITES Secretariat)", 
            "data-sources": "1. The records of the legal trade are collected by the CITES Secretariat and are maintained in a database by the UNEP-World Conservation Monitoring Centre, United Kingdom. All CITES Parties are required to report and data availability is good. 2.The wildlife seizure records are being collected by the CITES Secretariat and the World Customs Organization. UNODC has complied these data in a global database which contains over 125,000 seizure incidents at present. 3.Declared values for imported wildlife products. These are collected by national governments and are maintained in the World WISE database by UNODC.", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 16, 
            "targets": {
                "primary-target": "16.1", 
                "other-targets": "5.2"
            }, 
            "indicator": "16.1.1", 
            "title": "Number of victims of intentional homicide by age, sex, mechanism and where possible type of perpetrator, per 100,000 population", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "UNODC collects and publishes data from criminal justice systems through its annual data collection (UN Crime Trends Survey, UN-CTS); WHO collects and publishes data produced by public health/civil registration. UNODC and WHO are working together to harmonize data and procedures to produce joint UNODC-WHO homicide estimates at country, regional and global level. Considering data collected by both UNODC and WHO, national data on homicide are available for 174 countries (at least one data point after 2009). Time series data on homicide suitable for monitoring are available for 141 countries (at least 3 data points, the most recent for 2011 or later). When national data on homicide are not available, estimates are produced by WHO.", 
            "data-sources": "Two separate sources exist at country level: a) criminal justice system b) public health/civil registration", 
            "available": "Tier I/II", 
            "category": ""
        }, 
        {
            "goal": 16, 
            "targets": {
                "primary-target": "16.1", 
                "other-targets": "16.2, 16.3, 16.4, 16.6"
            }, 
            "indicator": "16.1.2", 
            "title": "Conflict-related deaths per 100,000 people (disaggregated by age, sex and cause)", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "Data on conflict-related deaths is collected by the IISS Armed Conflict Database, the UCDP Battle-Related Deaths Dataset, PRIO Battle-Deaths Data and WHO estimates of deaths by cause.", 
            "data-sources": "Estimates of conflict related death is collected by the IISS Armed Conflict Database, the UCDP Battle-Related Deaths Dataset, PRIO Battle-Deaths Data and WHO.", 
            "available": "Tier II", 
            "category": ""
        },
        {
            "goal": 16, 
            "targets": {
                "primary-target": "16.1", 
                "other-targets": ""
            }, 
            "indicator": "16.1.3", 
            "title": "Percentage of the population subjected to physical, psychological or sexual violence within the last 12 months", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Nov2015-green", 
            "leads": "", 
            "data-sources": "", 
            "available": "", 
            "category": ""
        },  
        {
            "goal": 16, 
            "targets": {
                "primary-target": "16.1", 
                "other-targets": ""
            }, 
            "indicator": "16.1.4", 
            "title": "Proportion of people that feel safe walking alone around the area they live", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Dec2015-grey",
            "leads": "", 
            "data-sources": "", 
            "available": "", 
            "category": ""
        }, 
        {
            "goal": 16, 
            "targets": {
                "primary-target": "16.2", 
                "other-targets": "16.1.2, 5.2, 10.3"
            }, 
            "indicator": "16.2.1", 
            "title": "Percentage of children aged 1-17 years who experienced any physical punishment and violent disciplinary measures, in the past 12 months", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "modified-Aug2015, Nov2015-green", 
            "leads": "UNICEF. Fully comparable data are available for some 60 low- and middle-income countries", 
            "data-sources": "Household surveys such as MICS that have been collecting data on this indicator in low- and middle-income countries since 2005.", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 16, 
            "targets": {
                "primary-target": "16.2", 
                "other-targets": "5.2"
            }, 
            "indicator": "16.2.2", 
            "title": "Number of detected and non-detected victims of human trafficking per 100,000; by sex, age and form of exploitation", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "UNODC, Data on the number of detected victims of TIP is available for over 130 countries", 
            "data-sources": "National governments/Field studies", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 16, 
            "targets": {
                "primary-target": "16.2", 
                "other-targets": ""
            }, 
            "indicator": "16.2.3", 
            "title": "Percentage of young women and men aged 18-24 years who experienced sexual violence by age 18", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Dec2015-grey",
            "leads": "", 
            "data-sources": "", 
            "available": "", 
            "category": ""
        }, 
        {
            "goal": 16, 
            "targets": {
                "primary-target": "16.3", 
                "other-targets": "16.a"
            }, 
            "indicator": "16.3.1", 
            "title": "Percentage of victims of violence in the previous 12 months who reported their victimization to competent authorities or other officially recognized conflict resolution mechanisms (also called crime reporting rate)", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "UNODC collects data on crime reporting rate through the annual data collection UN-CTS. Data on crime reporting rates are currently available for approx. 35 countries.", 
            "data-sources": "Victimisation surveys", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 16, 
            "targets": {
                "primary-target": "16.3", 
                "other-targets": ""
            }, 
            "indicator": "16.3.2", 
            "title": "Unsentenced detainees as percentage of overall prison population", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "UNODC collects data on prisons through its annual data collection (UN-CTS). Data on unsentenced and total detainees from the UN-CTS are available from 114 countries. The country coverage can improve if other sources (NGOs) are included (data for additional 70 countries are available, bringing the total to 184 countries).", 
            "data-sources": "Prison administration", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 16, 
            "targets": {
                "primary-target": "16.4", 
                "other-targets": "16.5, 8.3, 17.1"
            }, 
            "indicator": "16.4.1", 
            "title": "Total value of inward and outward illicit financial flows (in current US$).", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "Perhaps the IMF should be responsible. The FfD draft text of 6 May 2015 'invite[s] the United Nations, IMF and the World Bank in collaboration with regional organizations, to publish official estimates of their volume and breakdown'. GFI publishes data for 151 countries.", 
            "data-sources": "http://www.gfintegrity.org/issues/data-by-country/", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 16, 
            "targets": {
                "primary-target": "16.4", 
                "other-targets": ""
            }, 
            "indicator": "16.4.2", 
            "title": "Percentage of seized and collected firearms that are recorded and traced, in accordance with international standards and legal instruments", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "UNODC has been mandated by the Conference of the Parties to the United Nations Convention Against Transnational Organized Crime to collect indicators related to firearm trafficking including the one proposed here.", 
            "data-sources": "", 
            "available": "Tier III", 
            "category": ""
        }, 
        {
            "goal": 16, 
            "targets": {
                "primary-target": "16.4", 
                "other-targets": ""
            }, 
            "indicator": "16.4.3", 
            "title": "Percentage of small arms marked and recorded at the time of import in accordance with international standards", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Nov2015-green", 
            "leads": "", 
            "data-sources": "", 
            "available": "", 
            "category": ""
        }, 
        {
            "goal": 16, 
            "targets": {
                "primary-target": "16.5", 
                "other-targets": "1.4, 1.a, 10.b, 16.3, 16.6, 16.10, 17.1"
            }, 
            "indicator": "16.5.1", 
            "title": "Percentage of persons who had at least one contact with a public official, who paid a bribe to a public official, or were asked for a bribe by these public officials, during the last 12 months. Disaggregate by age, sex, region and population group.", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "UNODC collects prevalence data on bribery from surveys through the annual United Nations Survey of Crime Trends and the Operations of Criminal Justice Systems mandated by the UN General Assembly (UN-CTS).", 
            "data-sources": "Household corruption surveys and victimisation surveys with a module on bribery. At least 72 countries have implemented at least one national victimisation survey after 2009. In addition, 9 African countries have already implemented or are in the process of implementing a victimisation survey module as part of the Strategy for Harmonisation of Statistics for Africa (SHaSA).", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 16, 
            "targets": {
                "primary-target": "16.6", 
                "other-targets": "1.3, 3.8, 4.1, 17.1, 17.9, 17.13"
            }, 
            "indicator": "16.6.1", 
            "title": "Primary government expenditures as a percentage of original approved budget", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "PEFA Secretariat (World Bank); 149 countries", 
            "data-sources": "Data for 149 countries (collected on 398+ occasions) available at www.pefa.org.", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 16, 
            "targets": {
                "primary-target": "16.6", 
                "other-targets": ""
            }, 
            "indicator": "16.6.2", 
            "title": "Proportion of population satisfied with their last experience of public services", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Nov2015-green", 
            "leads": "", 
            "data-sources": "", 
            "available": "", 
            "category": ""
        }, 
        {
            "goal": 16, 
            "targets": {
                "primary-target": "16.7", 
                "other-targets": "5.5"
            }, 
            "indicator": "16.7.1", 
            "title": "Proportions of positions (by age, sex, disability and population groups) in public institutions (national and local legislatures, public service, and judiciary) compared to national distributions.", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "UN Women, OHCHR, IPU.", 
            "data-sources": "National administrative sources. Global Barometer Study: http://www.jdsurvey.net/gbs/gbs.jsp , World Values Survey: http://www.worldvaluessurvey.org/wvs.jsp , Gallup World Poll: http://www.gallup.com/services/170945/world-poll.aspx , See SHaSA Harmonised Module on Democratic Governance, in the supplementary materials.", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 16, 
            "targets": {
                "primary-target": "16.7", 
                "other-targets": ""
            }, 
            "indicator": "16.7.2", 
            "title": "Proportion of countries that address young people's multisectoral needs with their national development plans and poverty reduction strategies", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "UNFPA", 
            "data-sources": "UNFPA COAR database", 
            "available": "Tier III", 
            "category": ""
        }, 
        {
            "goal": 16, 
            "targets": {
                "primary-target": "16.8, 10.6", 
                "other-targets": "16.3, 16.7, 17.10"
            }, 
            "indicator": "16.8.1", 
            "title": "Percentage of members or voting rights of developing countries in international organizations.", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "United Nations/DESA. Data would be available for all international organizations.", 
            "data-sources": "Administrative data of international organizations.", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 16, 
            "targets": {
                "primary-target": "16.9", 
                "other-targets": ""
            }, 
            "indicator": "16.9.1", 
            "title": "Percentage of children under 5 whose births have been registered with civil authority", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "UNICEF, WHO, WB, UNSD, UNFPA", 
            "data-sources": "Household surveys and vital registration systems.", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 16, 
            "targets": {
                "primary-target": "16.10", 
                "other-targets": "5.2, 16.1, 16.3, 16.6, 16.10"
            }, 
            "indicator": "16.10.1", 
            "title": "Number of verified cases of killing, kidnapping, enforced disappearance, arbitrary detention and torture of journalists, associated media personnel, trade unionists and human rights advocates in the previous 12 months", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "OHCHR, UNESCO, ILO, ITUC, IFJ. Availability: Information from ILO on all ILO member states (185); from ITUC on all United Nations member states; and from IFJ (International Federation of Journalists) on 134 countries.", 
            "data-sources": "This indicator collates data from multiple sources, including National Human Rights Institutions, national non-governmental organisations, associations of journalists, trades unions, ILO, and international non-governmental organisations. Information on the number of violations committed against human rights defenders will be compiled annually by OHCHR from these data sources and further data collected through individual complaints to human rights treaty bodies, and Special Procedures of the Human Rights Council, including the Special Rapporteurs on human rights defenders, on freedom of opinion and expression, torture, the Working Group on Enforced or Involuntary Disappearances, and the Working Group on Arbitrary Detention. Additional data from OHCHR field offices and UN Country Teams will also be included. These data will be verified, cross-checked to ensure no duplication, and compiled in line with the agreed international definitions outlined above. Information on the number of journalists killed are compiled annually by UNESCO from data collected through multi-sourced research, including press reports, information from monitoring groups, direct reports, and information from UNESCO field offices and other UN bodies. Reports of killings compiled by UNESCO are then transmitted for clarification on the status of judicial investigation to Member States and categorized into the following: 1) no information received so far; 2) on-going; 3) resolved; 4) killed in cross-fire; and 5) others. This information can be found at the annual report by the UNESCO Director-General on 'The Safety of Journalists and the Danger of Impunity'.", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 16, 
            "targets": {
                "primary-target": "16.a", 
                "other-targets": "5.2, 16.1, 16.3, 16.6, 16.10"
            }, 
            "indicator": "16.a.1", 
            "title": "Percentage of victims who report physical and/or sexual crime to law enforcement agencies during past 12 months (Disaggregated by age, sex, region and population group)", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "UNODC, United Nations Survey of Crime Trends and the Operations of Criminal Justice Systems mandated by the UN General Assembly (UN-CTS).", 
            "data-sources": "Crime victimisation surveys. At least 72 countries have implemented at least one national victimisation survey after 2009. In addition, 9 African countries have already implemented or are in the process of implementing a victimisation survey module as part of the Strategy for Harmonisation of Statistics for Africa (SHaSA).", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 16, 
            "targets": {
                "primary-target": "16.b", 
                "other-targets": "10.2, 10.3, 10.10b, 16.3, 16.6, 16.10"
            }, 
            "indicator": "16.b.1", 
            "title": "Percentage of population reporting having personally felt discriminated against or harassed within the last 12 months on the basis of a ground of discrimination prohibited under international human rights law (Disaggregate by age, sex, region and population group)", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "Data for this indicator are collected in an increasing number of countries. At the regional level, the EU Fundamental Rights Agency has collected the data for 27 EU Member States. Relevant data is also collected in Eurobarometer and Afrobarometer surveys, and this question could easily be added.", 
            "data-sources": "The primary data source is surveys conducted at the national or regional level. In many national contexts, surveys may exclude the homeless or low-income groups without access to telephones. Face-to-face surveys often exclude non-urban populations or members of linguistic minorities. There is evidence to suggest that the most marginalised populations are less likely to respond to surveys, but this effect is reduced by ensuring their participation in the preparation of the survey.", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 17, 
            "targets": {
                "primary-target": "17.1", 
                "other-targets": ""
            }, 
            "indicator": "17.1.1", 
            "title": "Total tax revenue/GDP", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "modified-Aug2015, Nov2015-green", 
            "leads": "IMF/OECD", 
            "data-sources": "National Accounts/IMF, OECD Revenue Statistics (covers large number of countries)", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 17, 
            "targets": {
                "primary-target": "17.2", 
                "other-targets": "5.2, 10.b"
            }, 
            "indicator": "17.2.1", 
            "title": "Net ODA, total and to LDCs, as percentage of OECD/Development Assistance Committee (DAC) donors' gross national income (GNI)", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "OECD", 
            "data-sources": "OECD/DAC. The OECD prefers these simple indicators to the alternative 'ODA gap' and 'marginalised groups' suggestions below. The 'raw' ODA/GNI ratios for total ODA and ODA to LDCs can be compared directly with the target levels of 0.7% and 0.15-0.20%. 'Gap' data would not be comparable in this way, and, expressed as percentages as GNI, would have the effect of making the gap seem small, even where it is large (e.g. a 'gap' of 0.5% of GNI means the aid provider country is only giving 28% of the 0.7% target level for total ODA). There is no universally agreed target for ODA to Basic Social Services or marginalised groups.", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 17, 
            "targets": {
                "primary-target": "17.3", 
                "other-targets": "1.a, 10.b"
            }, 
            "indicator": "17.3.1", 
            "title": "Foreign Direct Investments as % of total FDI + ODA", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "modified-Aug2015, Nov2015-green", 
            "leads": "IMF/WB", 
            "data-sources": "combined sources from WB, IMF, OECD and others", 
            "available": "Tier I/III", 
            "category": ""
        }, 
        {
            "goal": 17, 
            "targets": {
                "primary-target": "17.3", 
                "other-targets": ""
            }, 
            "indicator": "17.3.2", 
            "title": "Volume of remittances (USD)/GDP", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Nov2015-green", 
            "leads": "", 
            "data-sources": "", 
            "available": "", 
            "category": ""
        }, 
        {
            "goal": 17, 
            "targets": {
                "primary-target": "17.4", 
                "other-targets": ""
            }, 
            "indicator": "17.4.1", 
            "title": "Debt service as a percentage of exports of goods and services", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "IMF-World Bank", 
            "data-sources": "IMF-World Bank", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 17, 
            "targets": {
                "primary-target": "17.5", 
                "other-targets": "17.15"
            }, 
            "indicator": "17.5.1", 
            "title": "Number of national and investment policy reforms adopted that incorporate sustainable development objectives or safeguards by country", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "UNCTAD and other sources", 
            "data-sources": "UNCTAD Investment Policy Monitor (can be supplemented by other sources)", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 17, 
            "targets": {
                "primary-target": "17.6", 
                "other-targets": ""
            }, 
            "indicator": "17.6.1", 
            "title": "Access to patent information (WIPO Patent Database) and use of the international IP system", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "WIPO", 
            "data-sources": "WIPO", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 17, 
            "targets": {
                "primary-target": "17.7", 
                "other-targets": ""
            }, 
            "indicator": "17.7.1", 
            "title": "Total amount of approved funding for developing countries to promote the development, transfer, dissemination and diffusion of environmentally sound technologies", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Nov2015-green", 
            "leads": "", 
            "data-sources": "", 
            "available": "", 
            "category": ""
        }, 
        {
            "goal": 17, 
            "targets": {
                "primary-target": "17.8", 
                "other-targets": "1.4, 2c, 5b, 9c, 10.3, 12.8, 16.6, 16.7, 16.10, 17.6, 17.8,"
            }, 
            "indicator": "17.8.1", 
            "title": "Proportion of individuals using the Internet.", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "ITU", 
            "data-sources": "ITU-Household Surveys. Data available for 100 countries, others are estimated", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 17, 
            "targets": {
                "primary-target": "17.9", 
                "other-targets": "9.4, 9.a, 9.b"
            }, 
            "indicator": "17.9.1", 
            "title": "The dollar value of financial and technical assistance, including through North-South, South-South, and triangular cooperation, committed to developing countries' designing and implementing a holistic policy mix that aim at sustainable development in three dimensions (including elements such as reducing inequality within a country and governance).", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "Various international, multilateral development banks, financial mechanisms and regional financial institutions including Multilateral Fund of the Montreal Protocol, GEF, Green Climate Fund, CDM, World Bank, Development Finance Institutions (DFIs), International Financial Institutions (IFIs), African Development Bank, Asian Development Bank etc.", 
            "data-sources": "Various international, multilateral development banks, financial mechanisms and regional financial institutions including Multilateral Fund of the Montreal Protocol, GEF, Green Climate Fund, CDM, World Bank, Development Finance Institutions (DFIs), International Financial Institutions (IFIs), African Development Bank, Asian Development Bank etc.", 
            "available": "Tier III", 
            "category": ""
        }, 
        {
            "goal": 17, 
            "targets": {
                "primary-target": "17.10", 
                "other-targets": "17.12, 8.2"
            }, 
            "indicator": "17.10.1", 
            "title": "Worldwide weighted tariff-average (This indicator can be disaggregated and analysed by type of tariff (MFN applied rates and preferential rates), by product sector, by region and by level of development. The unit of measurement will be in % terms. Ad valorem equivalents (AVE) will be calculated for those tariffs that are not expressed in percentage. This methodology also allows for cross-country comparisons. Calculations can be performed on a yearly basis. These calculations are already part of the MDG GAP task force report.)", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "WTO/UNCTAD/ITC; Data is widely available for most countries", 
            "data-sources": "WTO/UNCTAD/ITC", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 17, 
            "targets": {
                "primary-target": "17.11", 
                "other-targets": "2.3, 8.2"
            }, 
            "indicator": "17.11.1", 
            "title": "Developing country's and LDCs' exports (by partner group and key sectors), including services.", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "WTO/UNCTAD/ITC; Data is widely available for most countries", 
            "data-sources": "WTO/UNCTAD/ITC", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 17, 
            "targets": {
                "primary-target": "17.12", 
                "other-targets": "2.3, 17.10"
            }, 
            "indicator": "17.12.1", 
            "title": "Average tariffs faced by developing countries and LDCs and SIDs", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "modified-Aug2015, Nov2015-green", 
            "leads": "WTO/UNCTAD/ITC", 
            "data-sources": "WTO/UNCTAD/ITC", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 17, 
            "targets": {
                "primary-target": "17.13", 
                "other-targets": "Targets in Goal 8"
            }, 
            "indicator": "17.13.1", 
            "title": "GDP", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "WB/UNSD", 
            "data-sources": "National Accounts/IMF/DESA", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 17, 
            "targets": {
                "primary-target": "17.14", 
                "other-targets": ""
            }, 
            "indicator": "17.14.1", 
            "title": "Number of countries that have ratified and implemented relevant international instruments under the IMO (safety, security, environmental protection, civil liability, and compensation and insurance) and the ILO Maritime Convention, and adopted carbon pricing mechanisms.", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "modified-Aug2015, Nov2015-green", 
            "leads": "OHCHR, UNEP", 
            "data-sources": "OHCHR, UNEP, other agencies", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 17, 
            "targets": {
                "primary-target": "17.15", 
                "other-targets": ""
            }, 
            "indicator": "17.15.1", 
            "title": "Numbers of constraints that are embodied in ODA or loan agreements, IIAs, RTAs etc.", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "UNCTAD", 
            "data-sources": "OECD DAC+ (ODA); UNCTAD (IIAs + RTAs)", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 17, 
            "targets": {
                "primary-target": "17.16", 
                "other-targets": ""
            }, 
            "indicator": "17.16.1", 
            "title": "Indicator 7 from Global Partnership Monitoring Exercise: Mutual accountability among development co-operation actors is strengthened through inclusive reviews", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "UNDP", 
            "data-sources": "OECD-UNDP Table A.7. Global Partnership Website: http://www.effectivecooperation.org/", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 17, 
            "targets": {
                "primary-target": "17.17", 
                "other-targets": ""
            }, 
            "indicator": "17.17.1", 
            "title": "Amount of US$ committed to public-private partnerships", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "World Bank", 
            "data-sources": "World Bank", 
            "available": "Tier III", 
            "category": ""
        }, 
        {
            "goal": 17, 
            "targets": {
                "primary-target": "17.18", 
                "other-targets": "All targets"
            }, 
            "indicator": "17.18.1", 
            "title": "Proportion of sustainable development indicators with full disaggregation produced at the national level.", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "UNFPA, UNDESA, UNDP", 
            "data-sources": "MDG/SDG reporting databases (UNDESA and UNDP) plus baseline assessment in 2015 by UNFPA.", 
            "available": "Tier I", 
            "category": ""
        }, 
        {
            "goal": 17, 
            "targets": {
                "primary-target": "17.18", 
                "other-targets": ""
            }, 
            "indicator": "17.18.2", 
            "title": "Number of countries that have national statistical legislation that complies with the Fundamental Principles of Official statistics", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Dec2015-grey", 
            "leads": "", 
            "data-sources": "", 
            "available": "", 
            "category": ""
        }, 
        {
            "goal": 17, 
            "targets": {
                "primary-target": "17.19", 
                "other-targets": ""
            }, 
            "indicator": "17.19.1", 
            "title": "Financial and other resources made available to strengthen the statistical capacity in developing countries", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Nov2015-green", 
            "leads": "", 
            "data-sources": "", 
            "available": "Tier II", 
            "category": ""
        }, 
        {
            "goal": 17, 
            "targets": {
                "primary-target": "17.19", 
                "other-targets": "8.1"
            }, 
            "indicator": "17.19.2", 
            "title": "Inclusive Wealth Index", 
            "data": {
                "url": "", 
                "format": "", 
                "meta": ""
            }, 
            "source": "Aug2015, Dec2015-grey", 
            "leads": "UNEP", 
            "data-sources": "http://inclusivewealthindex.org/#the-world-wants-to-know-how-its-doing", 
            "available": "Tier I", 
            "category": ""
        }
    ],
    "source": [
        {
            "id": "Aug2015",
            "url": "http://unstats.un.org/sdgs/files/open-consultation-iaeg/Summary%20of%20Comments%20on%20Indicator%20Proposals%2025-9-15.XLSX",
            "description": "Suggested indicators as of Aug 11, 2015. This list contains the parameters such as other-targets (=Interlinkages), available (=Tier), leads (=Entity), and data-sources (=Source). See http://unstats.un.org/sdgs/iaeg-sdgs/open-consultation/"
        },
        {
            "id": "modified-Aug2015",
            "url": "http://unstats.un.org/sdgs/files/meetings/iaeg-sdgs-meeting-02/Outcomes/Agenda%20Item%204%20-%20Review%20of%20proposed%20indicators%20-%202%20Nov%202015.pdf",
            "description": "Aug2015 suggested indicator that is modified but not significantly, mainly from the 'Results of the list of indicators reviewed at the second IAEG-SDG meeting' held in Oct 26-28, 2015."
        },
        {
            "id": "Nov2015-green",
            "url": "http://unstats.un.org/sdgs/files/open-consultation-iaeg-2/Open%20Consultation%204-7%20Nov%202015_All%20Goals_V6.xlsx",
            "description": "a green coded indicator reviewed during the second open consultation in November 2015. The indicators correspond with the green indicators on file. See http://unstats.un.org/sdgs/iaeg-sdgs/open-consultation-2/"
        },
        {
            "id": "Dec2015-grey",
            "url": "http://unstats.un.org/sdgs/files/open-consultation-iaeg-3/Grey%20Indicator%20Consultation%20Compilation_18%20Dec%202015.xlsx",
            "description": "a grey coded indicator reviewed during the third open consultation in December 2015. The indicators correspond with the updated grey indicators on file. See http://unstats.un.org/sdgs/iaeg-sdgs/open-consultation-3/"
        }
    ],
    "meta": [
        {
          "id": "primary-target",
          "description": "Target ID(s) the indicator directly corresponds to. Usually one primary-target per indicator, but sometimes two primary-targets when indicators are identical across two target. "
        },
        {
          "id": "other-targets",
          "description": "directly corresponds to 'Interlinkages' from Aug2015 source. The most cases it is a list of target IDs of the relevant targets, but in rare cases it contains a relevant indicator's ID."
        },
        {
          "id": "indicator",
          "description": "unique indicator ID, mostly based on http://unstats.un.org/sdgs/files/meetings/iaeg-sdgs-meeting-02/Outcomes/Agenda%20Item%204%20-%20Review%20of%20proposed%20indicators%20-%202%20Nov%202015.pdf unless indicator is added later."
        },
        {
          "id": "title",
          "description": "SDGs indicator"
        },
        {
          "id": "data",
          "description": ""
        },
        {
          "id": "source",
          "description": "The source of SDGs indicator list."
        },
        {
          "id": "leads",
          "description": "directly corresponds to 'Entity' from Aug2015 source. The organizations that are likely responsible for data collections of relevant data for the indicator."
        },
        {
          "id": "data-sources",
          "description": "directly corresponds to 'Source' from Aug2015 source. The source(s) of the relevant data."
        },
        {
          "id": "available",
          "description": "directly corresponds to 'Tier' from Aug2015 source. The source says 'a first tier for which an established methodology exists and data are already widely available; a second tier for which a methodology has been established but for which data are not easily available; and a third for which an internationally agreed methodology has not yet been developed. It should be noted that the coverage and level of detail of the metadata provided by the relevant agencies vary across indicators and that this initial evaluation may need to be revisited as more complete information becomes available.'"
        }
    ]
}