Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.
Improving health is central to the Millennium Development Goals, and the public sector is the main provider of health care in developing countries. To reduce inequities, many countries have emphasized primary health care, including immunization, sanitation, access to safe drinking water, and safe motherhood initiatives. Data here cover health systems, disease prevention, reproductive health, nutrition, and population dynamics. Data are from the United Nations Population Division, World Health Organization, United Nations Children's Fund, the Joint United Nations Programme on HIV/AIDS, and various other sources.
Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.
An economy's financial markets are critical to its overall development. Banking systems and stock markets enhance growth, the main factor in poverty reduction. Strong financial systems provide reliable and accessible information that lowers transaction costs, which in turn bolsters resource allocation and economic growth. Indicators here include the size and liquidity of stock markets; the accessibility, stability, and efficiency of financial systems; and international migration and workers\ remittances, which affect growth and social welfare in both sending and receiving countries.
Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.
Natural and man-made environmental resources – fresh water, clean air, forests, grasslands, marine resources, and agro-ecosystems – provide sustenance and a foundation for social and economic development. The need to safeguard these resources crosses all borders. Today, the World Bank is one of the key promoters and financiers of environmental upgrading in the developing world. Data here cover forests, biodiversity, emissions, and pollution. Other indicators relevant to the environment are found under data pages for Agriculture & Rural Development, Energy & Mining, Infrastructure, and Urban Development.
Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.
The world economy needs ever-increasing amounts of energy to sustain economic growth, raise living standards, and reduce poverty. But today's trends in energy use are not sustainable. As the world's population grows and economies become more industrialized, nonrenewable energy sources will become scarcer and more costly. Data here on energy production, use, dependency, and efficiency are compiled by the World Bank from the International Energy Agency and the Carbon Dioxide Information Analysis Center.
Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.
Education is one of the most powerful instruments for reducing poverty and inequality and lays a foundation for sustained economic growth. The World Bank compiles data on education inputs, participation, efficiency, and outcomes. Data on education are compiled by the United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics from official responses to surveys and from reports provided by education authorities in each country.
Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.
Economic growth is central to economic development. When national income grows, real people benefit. While there is no known formula for stimulating economic growth, data can help policy-makers better understand their countries' economic situations and guide any work toward improvement. Data here covers measures of economic growth, such as gross domestic product (GDP) and gross national income (GNI). It also includes indicators representing factors known to be relevant to economic growth, such as capital stock, employment, investment, savings, consumption, government spending, imports, and exports.
Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.
Aid effectiveness is the impact that aid has in reducing poverty and inequality, increasing growth, building capacity, and accelerating achievement of the Millennium Development Goals set by the international community. Indicators here cover aid received as well as progress in reducing poverty and improving education, health, and other measures of human welfare.
Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.
For the 70 percent of the world's poor who live in rural areas, agriculture is the main source of income and employment. But depletion and degradation of land and water pose serious challenges to producing enough food and other agricultural products to sustain livelihoods here and meet the needs of urban populations. Data presented here include measures of agricultural inputs, outputs, and productivity compiled by the UN's Food and Agriculture Organization.
This dataset contains agency- and open source events published in the Attacks on Health Care News Brief and included in the Safeguarding Health in Conflict Coalition (SHCC) annual reporting on violence against or obstruction of health care. This page is managed by SHCC member Insecurity Insight.
Please get in touch if you are interested in curated datasets: info@insecurityinsight.org
The dataset presents findings from key informant interviews conducted in Kyrgyzstan using the International Organization for Migration's (IOM) Mobility Tracking Matrix (MTM) system. Adapted from IOM's Global Displacement Tracking Matrix (DTM) methodology, MTM aims to collect and analyze data to understand the mobility, vulnerabilities, and needs of displaced and mobile populations for evidence-based migration management.
This dataset contains administrative polygons grouped by country (admin-0) with the following subdivisions according to Who's On First placetypes:
- macroregion (admin-1 including region)
- region (admin-2 including state, province, department, governorate)
- macrocounty (admin-3 including arrondissement)
- county (admin-4 including prefecture, sub-prefecture, regency, canton, commune)
- localadmin (admin-5 including municipality, local government area, unitary authority, commune, suburb)
The dataset also contains human settlement points and polygons for:
- localities (city, town, and village)
- neighbourhoods (borough, macrohood, neighbourhood, microhood)
The dataset covers activities carried out by Who's On First (WOF) since 2015. Global administrative boundaries and human settlements are aggregated and standardized from hundreds of sources and available with an open CC-BY license. Who's On First data is updated on an as-need basis for individual places with annual sprints focused on improving specific countries or placetypes. Please refer to the README.md file for complete data source metadata. Refer to our blog post for explanation of field names.
Data corrections can be proposed using Write Field, an web app for making quick data edits. You’ll need a Github.com account to login and propose edits, which are then reviewed by the Who's On First community using the Github pull request process. Approved changes are available for download within 24-hours. Please contact WOF admin about bulk edits.
The dataset presents findings from surveys conducted in Kyrgyzstan using the International Organization for Migration's (IOM) Mobility Tracking Matrix (MTM) system. Adapted from IOM's Global Displacement Tracking Matrix (DTM) methodology, MTM aims to collect and analyze data to understand the mobility, vulnerabilities, and needs of displaced and mobile populations for evidence-based migration management.
We use an anonymized snapshot of all active Facebook users and their friendship networks to measure the intensity of connectedness between locations. The Social Connectedness Index (SCI) is a measure of the social connectedness between different geographies. Specifically, it measures the relative probability that two individuals across two locations are friends with each other on Facebook.
Details on the underlying data and the construction of the index are provided in the “Facebook Social Connectedness Index - Data Notes.pdf” file. Please also see https://dataforgood.facebook.com/ as well as the associated research paper “Social Connectedness: Measurement, Determinants and Effects,” published in the Journal of Economic Perspectives (https://www.aeaweb.org/articles?id=10.1257/jep.32.3.259).
Region identifiers are taken from GADM v2.8 https://gadm.org/download_country_v2.html. Future versions will update IDs to be compatible with the newest GADM version.
UNHCR uses Post Distribution Monitoring (PDM) as a mechanism to collect refugees’ feedback on the quality, sufficiency, utilization and effectiveness of the assistance items they receive. The underlying principle behind the process is linked to accountability, as well as a commitment to improve the quality and relevance of support provided, and related services. UNHCR increasingly uses cash based interventions (CBIs) as a preferred modality for delivering assistance, offering greater dignity and choice to Persons of Concern (PoCs) in line with UNHCR’s core protection mandate. In order to ensure that the cash assistance provided meets the intended objectives and that desired outcomes are achieved, UNHCR conducts regular post-distribution and outcome monitoring with a sample of refugee recipients residing across the country.
The dataset consists of 22 records, indicating that it encompasses a relatively small sample size. Before using the dataset, it is essential for data users to be aware that the dataset's small size (22 records) may limit the generalizability of the findings. It is crucial to exercise caution when drawing broad conclusions or making policy recommendations based solely on this limited dataset.
Kyrgyzstan population density for 400m H3 hexagons.
Built from Kontur Population: Global Population Density for 400m H3 Hexagons Vector H3 hexagons with population counts at 400m resolution.
Fixed up fusion of GHSL, Facebook, Microsoft Buildings, Copernicus Global Land Service Land Cover, Land Information New Zealand, and OpenStreetMap data.
UNHCR uses Post Distribution Monitoring (PDM) as a mechanism to collect refugees’ feedback on the quality, sufficiency, utilization and effectiveness of the assistance items they receive. The underlying principle of the process is accountability, as well as a commitment to improving the quality and relevance of support provided, and related services. UNHCR increasingly uses cash based interventions (CBIs) as a preferred modality for delivering assistance, offering greater dignity and choice to displaced people in line with UNHCR’s core protection mandate. In order to ensure that the cash assistance provided meets the intended objectives and that desired outcomes are achieved, UNHCR conducts regular post-distribution and outcome monitoring with a sample of refugee recipients residing across the country.
This PDM covered people who received CBI in Kyrgyzstan in 2022. Feedback on the modality was collected from 14 households in February of 2023.
This table contains subnational multidimensional poverty trends data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI methodology is detailed in Alkire, Kanagaratnam & Suppa (2023).
Kyrgyzstan administrative division with aggregated population. Built from Kontur Population: Global Population Density for 400m H3 Hexagons on top of OpenStreetMap administrative boundaries data. Enriched with HASC codes for regions taken from Wikidata.
Global version of boundaries dataset: Kontur Boundaries: Global administrative division with aggregated population
The sub national INFORM model for Caucasus and Central Asia was initiated by the Regional Inter-Agency Standing Committee (IASC) Task Force for Caucasus and Central Asia and is managed by OCHA. The INFORM model is being used to support coordinated preparedness actions. Partners hope to use the model to improve cooperation between humanitarian and development actors in managing risk and building resilience across the region.
100+ Downloads
This dataset updates: Never
This dataset is part of the data series [?]: INFORM Models
The UNHCR Results Monitoring Survey (RMS) is a household-level survey on persons of concern (PoC) to UNHCR directly or indirectly assisted by UNHCR, including refugees and asylum seekers, internally displaced persons, returnees, stateless and others of concern. The objective of the survey is to monitor impact and outcome level indicators on education, healthcare, livelihoods, protection concerns, shelter, and water and sanitation. The results contribute to an evidence base for reporting against UNHCR’s multi-year strategies to key stakeholders.
The RMS can be implemented in any operational context. A standard structured questionnaire has been developed for the RMS, which can be conducted as a stand-alone survey or flexibly integrated with other data collection exercises. The data includes indicators collected at both the household and individual (household-member) level, and results are statistically representative.
This dataset contains population estimates for Kyrgyzstan from 2018 at country-level and first and second administrative levels. It includes a breakdown by urban and rural areas and has population disaggregated by sex and age (at country and first administrative levels).
REFERENCE YEAR: 2018
The file includes a sheet with metadata.
Please note that data from the 2009 population census is available here: https://data.humdata.org/dataset/cod-ab-kgz
Kyrgyzstan administrative level 0 (country), 1 (province, independent city [EN]; область, город [RU]; облусу, шаар [KY]), 2 (district [EN]; район, [RU]; району [KY]), and 3 (community [EN]; айылный аймак [RU]; айыл аймаг [KY]) boundary polygon and line shapefiles and gazetteer.
Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID.
The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Kyrgyzstan: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).