Population

Kenya - Population and Household Dataset

Description: 

The dataset contains Population and Household statistics for the years 2009 and 2016 as well as the enumeration areas.The dataset was provided by Kenya National Bureau of Statistics (KNBS).

Type: 
Geospatial

Kigoma (Tanzania) - Population Distribution and Density (ESA EO4SD-Urban)

Description: 

The Population Distribution and Density product contains spatial explicit information about population distribution changes at a certain degree, within the Core Urban Districts of Kigoma. The following eight change classes are identified, based on a frequency distribution analysis of the changes that occur: Unchanged Population Distribution; Up to –100% decrease; Up to 200% increase; 201% - 400% increase; 401% - 600% increase; 601% - 800% increase; 801% - 1000% increase; More than 1000% increase. The Population Distribution and Density product is estimated for all objects which belong to...

Type: 
Geospatial

Mbeya (Tanzania) - Population Distribution and Density (ESA EO4SD-Urban)

Description: 

The Population Distribution and Density product contains spatial explicit information about population distribution at a certain degree, within the Core Urban Districts of Mbeya. The following eight classes are identified, based on a frequency distribution analysis of the changes that occur: Unchanged Population Distribution; Up to –100% decrease; Up to 200% increase; 201% - 400% increase; 401% - 600% increase; 601% - 800% increase; 801% - 1000% increase; More than 1000% increase. The Population Distribution and Density product is estimated for all objects which belong to the residential...

Type: 
Geospatial

Mtwara (Tanzania) - Population Distribution and Density (ESA EO4SD-Urban

Description: 

The Population Distribution and Density product contains spatial explicit information about population distribution changes at a certain degree, within the Core City Districts of Mtwara. The Population Distribution and Density product is estimated for all objects which belong to the residential class (LULC class 11), using 5 different data sources: LULC Product, WorldPop data (2005) with a spatial resolution of 100m, official population census data from 2002 and 2012, Soil Sealing layer and Administrative Boundaries.

Type: 
Geospatial

Dodoma (Tanzania) - Population Distribution and Density (ESA EO4SD-Urban)

Description: 

The Population Distribution and Density product contains spatial explicit information about population distribution changes at a certain degree, within the Core Urban Districts of Dodoma. The following eight change classes are identified, based on a frequency distribution analysis of the changes that occur: Unchanged Population Distribution; Up to –100% decrease; Up to 200% increase; 201% - 400% increase; 401% - 600% increase; 601% - 800% increase; 801% - 1000% increase; More than 1000% increase. The Population Distribution and Density (2005 & 2015) products are estimated for all...

Type: 
Geospatial

Mwanza (Tanzania) - Population Density and Distribution Map (ESA EO4SD-Urban)

Description: 

The Population Distribution and Density product contains spatial explicit information about population distribution changes at a certain degree, within the Core Urban Districts of Mwanza. The following eight classes are identified, based on a frequency distribution analysis of the changes that occur: Unchanged Population Distribution; Up to –100% decrease; Up to 200% increase; 201% - 400% increase; 401% - 600% increase; 601% - 800% increase; 801% - 1000% increase; More than 1000% increase. The Population Distribution and Density product is estimated for all objects which belong to the...

Type: 
Geospatial

Tanga (Tanzania) - Population Distribution and Density (ESA EO4SD-Urban)

Description: 

The Population Distribution and Density product contains spatial explicit information about population distribution at a certain degree, within the Core City Districts of Tanga. The Population Distribution and Density product is estimated for all objects which belong to the residential class (LULC class 11), using 5 different data sources: LULC Product, WorldPop data (2005 / 2018) with a spatial resolution of 100m, official population census data from 2002 and 2012, Soil Sealing layer and Administrative Boundaries

Type: 
Geospatial

Arusha (Tanzania) - Population Distribution and Density (ESA EO4SD-Urban)

Description: 

The Population Distribution and Density 2005 and 2015 products contains spatial explicit information about population distribution at a certain degree, within the Core Urban Districts of Arusha. The following eight classes are identified, based on a frequency distribution analysis of the changes that occur: Unchanged Population Distribution; Up to –100% decrease; Up to 200% increase; 201% - 400% increase; 401% - 600% increase; 601% - 800% increase; 801% - 1000% increase; More than 1000% increase. The Population Distribution and Density product is estimated for all objects which belong to...

Type: 
Geospatial

Myanmar - Estimated Population Layers

Description: 

Estimated population layers: Alpha version 2010, 2015 and 2020 estimates of numbers of people per pixel ('ppp') and people per hectare ('pph'), with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted.

SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator)

UNITS: Estimated persons per grid square

MAPPING APPROACH: Random Forest

DATE OF PRODUCTION: April 2016

Metadata:...

Type: 
Geospatial

Cities in Europe and Central Asia : A Shifting Story of Urban Growth and Decline Database

Description: 

This research, designed by the World Bank, and supported by the Department for International Development (DFID), aims to highlight the unprecedented transformation of the urban systems in the ECA region in the last decades, and to look at this shifts from the demographic, economic, and spatial prospectives.

Cities in ECA database comprises data from 5,549 cities in 15 countries of the Eastern Europe and Central Asia region, as defined by the World Bank Group, and from the United Kingdom and Germany. Database information for each city is in three dimensions: demographic, spatial, and...

Type: 
Geospatial

Night Light Development Index (NLDI) [2006]

Description: 

€œNight Light Development Index€ (NLDI) as a simple, objective, spatially explicit and globally available empirical measurement of human development derived solely from nighttime satellite imagery and population density. There is increasing recognition that the distribution of wealth and income amongst the population in a nation or region correlates strongly with both the overall happiness of that population and the environmental quality of that nation or region. Measuring the distribution of wealth and income at national and regional scales is an interesting and challenging problem. Gini...

Type: 
Geospatial

Subnational Population Database

Description: 

Subnational Population Database presents estimated population at the first administrative level below the national level. Many of the data come from the country’s national statistical offices. Other data come from the NASA Socioeconomic Data and Applications Center (SEDAC) managed by the Center for International Earth Science Information Network (CIESIN), Earth Institute, Columbia University. It is the World Bank Group’s first subnational population database at a global level and there are data limitations. Series metadata includes methodology and the assumptions made.

Type: 
Time Series

Population Estimates and Projections

Description: 

This database presents population and other demographic estimates and projections from 1960 to 2050, covering more than 200 economies. It includes population data by various age groups, sex, urban/rural; fertility data; mortality data; and migration data.

Type: 
Time Series

Health Nutrition and Population Statistics

Description: 

Health Nutrition and Population Statistics database provides key health, nutrition and population statistics gathered from a variety of international and national sources. Themes include global surgery, health financing, HIV/AIDS, immunization, infectious diseases, medical resources and usage, noncommunicable diseases, nutrition, population dynamics, reproductive health, universal health coverage, and water and sanitation.

Type: 
Time Series