Uzbekistan - Humanitarian Data Exchange

Uzbekistan - Population Counts

WorldPop

30+ Downloads

Updated 24 November 2020 | Dataset date: January 01, 2000-December 31, 2020

This dataset updates: Every year

WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset. Bespoke methods used to produce datasets for specific individual countries are available through the WorldPop Open Population Repository (WOPR) link below. These are 100m resolution gridded population estimates using customized methods ("bottom-up" and/or "top-down") developed for the latest data available from each country. They can also be visualised and explored through the woprVision App. The remaining datasets in the links below are produced using the "top-down" method, with either the unconstrained or constrained top-down disaggregation method used. Please make sure you read the Top-down estimation modelling overview page to decide on which datasets best meet your needs. Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 3 and 30 arc-seconds (approximately 100m and 1km at the equator, respectively): - Unconstrained individual countries 2000-2020 ( 1km resolution ): Consistent 1km resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020. - Unconstrained individual countries 2000-2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020. - Unconstrained individual countries 2000-2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019) -Unconstrained individual countries 2000-2020 UN adjusted ( 1km resolution ): Consistent 1km resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019). -Unconstrained global mosaics 2000-2020 ( 1km resolution ): Mosaiced 1km resolution versions of the "Unconstrained individual countries 2000-2020" datasets. -Constrained individual countries 2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using constrained top-down methods for all countries of the World for 2020. -Constrained individual countries 2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using constrained top-down methods for all countries of the World for 2020 and adjusted to match United Nations national population estimates (UN 2019). Older datasets produced for specific individual countries and continents, using a set of tailored geospatial inputs and differing "top-down" methods and time periods are still available for download here: Individual countries and Whole Continent. Data for earlier dates is available directly from WorldPop. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00645

GeoTIFF

Novel Coronavirus (COVID-19) Cases Data

Johns Hopkins University Center for Systems Science and Engineering

411000+ Downloads

Updated Live | Dataset date: January 22, 2020-August 08, 2022

This dataset updates: Live

Novel Corona Virus (COVID-19) epidemiological data since 22 January 2020. The data is compiled by the Johns Hopkins University Center for Systems Science and Engineering (JHU CCSE) from various sources including the World Health Organization (WHO), DXY.cn, BNO News, National Health Commission of the People’s Republic of China (NHC), China CDC (CCDC), Hong Kong Department of Health, Macau Government, Taiwan CDC, US CDC, Government of Canada, Australia Government Department of Health, European Centre for Disease Prevention and Control (ECDC), Ministry of Health Singapore (MOH), and others. JHU CCSE maintains the data on the 2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository on Github. Fields available in the data include Province/State, Country/Region, Last Update, Confirmed, Suspected, Recovered, Deaths. On 23/03/2020, a new data structure was released. The current resources for the latest time series data are: time_series_covid19_confirmed_global.csv time_series_covid19_deaths_global.csv time_series_covid19_recovered_global.csv ---DEPRECATION WARNING--- The resources below ceased being updated on 22/03/2020 and were removed on 26/03/2020: time_series_19-covid-Confirmed.csv time_series_19-covid-Deaths.csv time_series_19-covid-Recovered.csv

CSV

HOTOSM Uzbekistan Waterways (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

100+ Downloads

Updated 15 July 2020 | Dataset date: August 01, 2022-August 01, 2022

This dataset updates: Every month

OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: waterway IS NOT NULL OR water IS NOT NULL OR natural IN ('water','wetland','bay') Features may have these attributes: depth name natural covered blockage water tunnel width source layer waterway This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

HOTOSM Uzbekistan Buildings (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

50+ Downloads

Updated 12 July 2020 | Dataset date: August 01, 2022-August 01, 2022

This dataset updates: Every month

OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: building IS NOT NULL Features may have these attributes: building:levels addr:housenumber source name addr:street office addr:full building addr:city building:materials This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

HOTOSM Uzbekistan Roads (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

100+ Downloads

Updated 12 July 2020 | Dataset date: August 01, 2022-August 01, 2022

This dataset updates: Every month

OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: highway IS NOT NULL Features may have these attributes: highway surface name smoothness lanes width source layer oneway bridge This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

HOTOSM Uzbekistan Points of Interest (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

40+ Downloads

Updated 12 July 2020 | Dataset date: August 01, 2022-August 01, 2022

This dataset updates: Every month

OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity IS NOT NULL OR man_made IS NOT NULL OR shop IS NOT NULL OR tourism IS NOT NULL Features may have these attributes: beds tourism addr:housenumber source name amenity man_made rooms addr:street shop addr:full opening_hours addr:city This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

HOTOSM Uzbekistan Financial Services (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

10+ Downloads

Updated 2 July 2020 | Dataset date: August 01, 2022-August 01, 2022

This dataset updates: Every month

OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity IN ('mobile_money_agent','bureau_de_change','bank','microfinance','atm','sacco','money_transfer','post_office') Features may have these attributes: operator network source name amenity addr:full addr:city This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

HOTOSM Uzbekistan Populated Places (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

50+ Downloads

Updated 2 July 2020 | Dataset date: August 01, 2022-August 01, 2022

This dataset updates: Every month

OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: place IN ('isolated_dwelling','town','village','hamlet','city') Features may have these attributes: name is_in place source population This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

HOTOSM Uzbekistan Education Facilities (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

10+ Downloads

Updated 2 July 2020 | Dataset date: August 01, 2022-August 01, 2022

This dataset updates: Every month

OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity IN ('kindergarten','school','college','university') OR building IN ('kindergarten','school','college','university') Features may have these attributes: operator:type source name amenity addr:full building addr:city capacity:persons This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

Uzbekistan - Age and sex structures

WorldPop

20+ Downloads

Updated 29 June 2020 | Dataset date: January 01, 2000-December 31, 2020

This dataset updates: Every year

WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset. A description of the modelling methods used for age and sex structures can be found in Tatem et al and Pezzulo et al. Details of the input population count datasets used can be found here, and age/sex structure proportion datasets here. Both top-down 'unconstrained' and 'constrained' versions of the datasets are available, and the differences between the two methods are outlined here. The datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World structured by male/female and 5-year age classes (plus a <1 year class). These efforts necessarily involved some shortcuts for consistency. The unconstrained datasets are available for each year from 2000 to 2020. The constrained datasets are only available for 2020 at present, given the time periods represented by the building footprint and built settlement datasets used in the mapping. Data for earlier dates is available directly from WorldPop. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00646

GeoTIFF

Uzbekistan - Pregnancies

WorldPop

Updated 29 June 2020 | Dataset date: January 01, 2014-December 31, 2018

This dataset updates: Every year

The health and survival of women and their new-born babies in low income countries is a key public health priority, but basic and consistent subnational data on the number of pregnancies to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age, age-specific fertility rates, still births and abortions to map the estimated distributions of pregnancies for each 1x1km grid square across all low and middle income countries. Further details on the methods can be found in Tatem et al and James et al.. Data for earlier dates is available directly from WorldPop. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2018. Uzbekistan 1km Pregnancies. Version 2.0 2015 estimates of numbers of pregnancies per grid square, with national totals adjusted to match national estimates on numbers of pregnancies made by the Guttmacher Institute (http://www.guttmacher.org) DOI: 10.5258/SOTON/WP00639

GeoTIFF

Uzbekistan - Births

WorldPop

Updated 29 June 2020 | Dataset date: January 01, 2014-December 31, 2018

This dataset updates: Every year

The health and survival of women and their new-born babies in low income countries is a key public health priority, but basic and consistent subnational data on the number of live births to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age and age-specific fertility rates to map the estimated distributions of births for each 1x1km grid square across all low and middle income countries. Further details on the methods can be found in Tatem et al. and James et al.. Data for earlier dates is available directly from WorldPop. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2018. Uzbekistan 1km Births. Version 2.0 2015 estimates of numbers of live births per grid square, with national totals adjusted to match UN national estimates on numbers of live births (http://esa.un.org/wpp/). DOI: 10.5258/SOTON/WP00588

GeoTIFF

HOTOSM Uzbekistan Railways (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

50+ Downloads

Updated 3 June 2020 | Dataset date: August 01, 2022-August 01, 2022

This dataset updates: Every month

OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: railway IN ('rail','station') Features may have these attributes: operator:type source railway name ele addr:full addr:city layer This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

HOTOSM Uzbekistan Health Facilities (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

10+ Downloads

Updated 3 June 2020 | Dataset date: August 01, 2022-August 01, 2022

This dataset updates: Every month

OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: healthcare IS NOT NULL OR amenity IN ('doctors','dentist','clinic','hospital','pharmacy') Features may have these attributes: operator:type source name healthcare amenity healthcare:speciality addr:full building addr:city capacity:persons This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

HOTOSM Uzbekistan Airports (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

30+ Downloads

Updated 3 June 2020 | Dataset date: August 01, 2022-August 01, 2022

This dataset updates: Every month

OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: aeroway IS NOT NULL OR building = 'aerodrome' OR emergency:helipad IS NOT NULL OR emergency = 'landing_site' Features may have these attributes: emergency operator:type source name addr:city aeroway addr:full building emergency:helipad capacity:persons This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

HOTOSM Uzbekistan Sea Ports (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

10+ Downloads

Updated 3 June 2020 | Dataset date: August 01, 2022-August 01, 2022

This dataset updates: Every month

OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity = 'ferry_terminal' OR building = 'ferry_terminal' OR port IS NOT NULL Features may have these attributes: operator:type source name port amenity addr:full building addr:city This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

Uzbekistan - Subnational Demographic and Health Data

The DHS Program

1900+ Downloads

Updated 21 March 2020 | Dataset date: January 01, 1996-December 31, 1996

This dataset updates: Every year

Contains data from the DHS data portal. There is also a dataset containing Uzbekistan - National Demographic and Health Data on HDX. The DHS Program Application Programming Interface (API) provides software developers access to aggregated indicator data from The Demographic and Health Surveys (DHS) Program. The API can be used to create various applications to help analyze, visualize, explore and disseminate data on population, health, HIV, and nutrition from more than 90 countries.

CSV

Uzbekistan - National Demographic and Health Data

The DHS Program

1900+ Downloads

Updated 21 March 2020 | Dataset date: January 01, 1996-December 31, 1996

This dataset updates: Every year

Contains data from the DHS data portal. There is also a dataset containing Uzbekistan - Subnational Demographic and Health Data on HDX. The DHS Program Application Programming Interface (API) provides software developers access to aggregated indicator data from The Demographic and Health Surveys (DHS) Program. The API can be used to create various applications to help analyze, visualize, explore and disseminate data on population, health, HIV, and nutrition from more than 90 countries.

CSV

INFORM Central Asia and Caucasus

INFORM

200+ Downloads

Updated 10 March 2020 | Dataset date: May 19, 2017-May 19, 2017

This dataset updates: Never

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.

XLSX

Uzbekistan - Subnational Population Statistics

OCHA Field Information Services Section (FISS)

1100+ Downloads

Updated 10 November 2019 | Dataset date: July 12, 2018-August 10, 2022

This dataset updates: Every year

Uzbekistan administrative level 0 (country) and 1 (province / viloyat, autonomous republic / respublika, or independent city / shahar) population statistics and level 0,1, and 2 (district / tuman) gazetteer. REFERENCE YEAR: 2018 The administrative level 1 CSV table is suitable for database or GIS linkage to the administrative level 1 shapefile available on HDX here. REVISION HISTORY: 22 July 2019 2018 population statistics update 12 July 2018 Initial upload

XLSX
CSV

Airports in Uzbekistan

OurAirports

Updated Live | Dataset date: January 01, 2008-August 10, 2022

This dataset updates: Live

List of airports in Uzbekistan, with latitude and longitude. Unverified community data from http://ourairports.com/countries/UZ/

CSV

Uzbekistan: High Resolution Population Density Maps + Demographic Estimates

Data for Good at Meta (previously Facebook)

1400+ Downloads

Updated 21 June 2019 | Dataset date: June 19, 2019-June 19, 2019

This dataset updates: As needed

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Uzbekistan: (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).

CSV
GeoTIFF

Uzbekistan - Demographic, Health, Education and Transport indicators

United Nations Human Settlement Programmes, Global Urban Observatory

200+ Downloads

Updated 28 September 2018 | Dataset date: January 01, 1950-December 31, 2050

This dataset updates: Every year

The urban indicators data available here are analyzed, compiled and published by UN-Habitat’s Global Urban Observatory which supports governments, local authorities and civil society organizations to develop urban indicators, data and statistics. Urban statistics are collected through household surveys and censuses conducted by national statistics authorities. Global Urban Observatory team analyses and compiles urban indicators statistics from surveys and censuses. Additionally, Local urban observatories collect, compile and analyze urban data for national policy development. Population statistics are produced by the United Nations Department of Economic and Social Affairs, World Urbanization Prospects.

CSV