Population density per pixel at 100 metre resolution. WorldPop provides estimates of numbers of people residing in each 100x100m grid cell for every low and middle income country. Through ingegrating cencus, survey, satellite and GIS datasets in a flexible machine-learning framework, high resolution maps of population counts and densities for 2000-2020 are produced, along with accompanying metadata. DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates and remaining unadjusted. REGION: Africa SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) PROJECTION: Geographic, WGS84 UNITS: Estimated persons per grid square MAPPING APPROACH: Land cover based, as described in: Linard, C., Gilbert, M., Snow, R.W., Noor, A.M. and Tatem, A.J., 2012, Population distribution, settlement patterns and accessibility across Africa in 2010, PLoS ONE, 7(2): e31743. FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - AGO10adjv4.tif = Angola (AGO) population count map for 2010 (10) adjusted to match UN national estimates (adj), version 4 (v4). Population maps are updated to new versions when improved census or other input data become available.

The population density in Zambia stood at 27.11 people in 2022. In a steady upward trend, the population density rose by 22.73 people from 1961.

Zambia ZM: Population Density: Inhabitants per sq km data was reported at 27.110 Person in 2022. This records an increase from the previous number of 26.370 Person for 2021. Zambia ZM: Population Density: Inhabitants per sq km data is updated yearly, averaging 16.320 Person from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 27.110 Person in 2022 and a record low of 10.470 Person in 1990. Zambia ZM: Population Density: Inhabitants per sq km data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Zambia – Table ZM.OECD.GGI: Social: Demography: Non OECD Member: Annual.

Historical dataset showing Zambia population density by year from 1961 to 2022.

Zambia ZM: Population Density: People per Square Km data was reported at 22.995 Person/sq km in 2017. This records an increase from the previous number of 22.319 Person/sq km for 2016. Zambia ZM: Population Density: People per Square Km data is updated yearly, averaging 10.511 Person/sq km from Dec 1961 (Median) to 2017, with 57 observations. The data reached an all-time high of 22.995 Person/sq km in 2017 and a record low of 4.224 Person/sq km in 1961. Zambia ZM: Population Density: People per Square Km data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Zambia – Table ZM.World Bank.WDI: Population and Urbanization Statistics. Population density is midyear population divided by land area in square kilometers. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently settled in the country of asylum, who are generally considered part of the population of their country of origin. Land area is a country's total area, excluding area under inland water bodies, national claims to continental shelf, and exclusive economic zones. In most cases the definition of inland water bodies includes major rivers and lakes.; ; Food and Agriculture Organization and World Bank population estimates.; Weighted average;

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

Population density of Zambia went up by 2.83% from 27.1 people per sq. km in 2022 to 27.9 people per sq. km in 2023. Since the 3.25% improve in 2013, population density rocketed by 34.58% in 2023. Population density is midyear population divided by land area in square kilometers.

Comprehensive socio-economic dataset for Zambia including population demographics, economic indicators, geographic data, and social statistics. This dataset covers key metrics such as GDP, population density, area, capital city, and regional classifications.

Official dataset to paper "Fine-grained Population Mapping from Coarse Census Counts and Open Geodata".

Census disaggregated gridded population estimates for Zambia, based on the 2022 Census of Population and Housing preliminary results, version 2.0.

Social distancing is a public health measure intended to reduce infectious disease transmission, by maintaining physical distance between individuals or households. In the context of the COVID-19 pandemic, populations in many countries around the world have been advised to maintain social distance (also referred to as physical distance), with distances of 6 feet or 2 metres commonly advised. Feasibility of social distancing is dependent on the availability of space and the number of people, which varies geographically. In locations where social distancing is difficult, a focus on alternative measures to reduce disease transmission may be needed. To help identify locations where social distancing is difficult, we have developed an ease of social distancing index. By index, we mean a composite measure, intended to highlight variations in ease of social distancing in urban settings, calculated based on the space available around buildings and estimated population density. Index values were calculated for small spatial units (vector polygons), typically bounded by roads, rivers or other features. This dataset provides index values for small spatial units within urban areas in Zambia. Measures of population density were calculated from high-resolution gridded population datasets from WorldPop, and the space available around buildings was calculated using building footprint polygons derived from satellite imagery (Ecopia.AI and Maxar Technologies. 2020). These data were produced by the WorldPop Research Group at the University of Southampton. This work was part of the GRID3 project with funding from the Bill and Melinda Gates Foundation and the United Kingdom’s Department for International Development. Project partners included the United Nations Population Fund (UNFPA), Center for International Earth Science Information Network (CIESIN) in the Earth Institute at Columbia University, and the Flowminder Foundation.

Abstract

The main objectives of the 2010 Census of Population and Housing were: • To provide accurate and reliable information on the size, composition and distribution of the population of Zambia at the time of the census; • To provide information on the demographic and socioeconomic characteristics of the population of Zambia at the lowest administrative level - the ward; • To provide indicators for measuring progress towards national and international development goals in a timely and user friendly manner; • To provide information on the number and characteristics of households engaged in agriculture and other economic activities; • To provide an accurate sampling frame and sample weights for future inter-censal household and population based surveys; • To provide information identifying the number of eligible voters for the 2011 General Elections; • To provide a census that meets national and international standards and allows for comparability with other censuses; • To provide information on the housing characteristics of the population.

Universe

Census Enumerators went out visiting all buildings in Zambia whether completed, incomplete, abandoned, habitable and inhabitable for the purpose of identifying characteristics of all buildings, households and other human aspects. All persons who lived in the buildings were counted and detailed information pertaining to their characteristics obtained.

Sampling procedure

The Census mapping methodology in 2010 was Geographic Information System (GIS) driven with the use of Satellite Imagery in urban areas and Global Positioning System (GPS) in rural areas.

Mode of data collection

Face-to-face [f2f]

Research instrument

The 2010 Census used a single questionnaire to capture individual, household and housing characteristics from the population. The 2010 Census differs from the 2000 Census by including questions on deaths of Household Members during the 12 months period prior to the census enumeration, as well as cause of death for all reported deaths.

Included for the first time were questions on maternal deaths to women aged 12-49 years during the reference period (12 months prior to the Census). Questions were asked of female household members aged 12-49 years that were reported to have died during the reference period (12 months prior to the census), whether the death had occurred while the woman was pregnant, during childbirth or six weeks after the end of a pregnancy, regardless of the outcome of the pregnancy. Another new addition was the question on whether one was an Albino or not.

Cleaning operations

In April 2011, the Central Statistical Office started the data capture and processing of the 2010 Census questionnaires. Scanning of the 2010 Census questionnaires started in April 2011 and was successfully concluded in August 2011. The data capture used Optical Mark Reading (OMR) and Intelligent Character Recognition (ICR) technology in order to speed up the processing time. Data verification and development of edit and imputation specifications and programmes started in May and was completed in November 2011.

Data appraisal

Methods of evaluation applied were:

• Direct Method: Post Enumeration Survey (PES)- a sample of households is revisited after the census and data are again collected but on a smaller scale and later compared with that collected during the actual census. • Indirect Method: Comparison of data using both internal and external consistency checks. Internal consistency checks compare relationships of data within the same census data, whereas external consistency checks compare census data with data generated from other sources.

Coverage errors: • Omission or duplication of individuals, households, or housing units resulting in under or over enumeration. • Lack of accessibility or cooperation with respondents. • Lack of proper boundary descriptions on maps. Coverage errors can be measured by examining certain statistics such as growth rate, age composition, child woman ratio and dependency ratio.

Content errors: Content errors refer to instances where characteristics such as age, sex, marital status, economic activity, etc. of a person enumerated in a census or survey are incorrectly reported or tabulated. • Content errors are caused by either a respondent giving a wrong response or by an enumerator recording an incorrect response. • 2010 census errors were estimated by the use of the Myers' Index, Sex Ratios, Age Ratios and Population Pyramids.

For findings, please refer to the presentation on census data evaluation provided as external resources.

Abstract

The census of populaton and housing is designed to collect a complete count of households, dejure and defacto population. A Census of Population and Housing is defined by the United Nations as the total process of collecting, compiling, evaluating, analysing and publishing demographic, economic and social data pertaining, at a specified time or times, to all persons in a designated area or the whole country. It is the primary source of information about the population of a country. It is undertaken at regular intervals, usually after ten years. The population Census is distinguished from other kinds of field surveys by its traditional background, legal sanctions, coverage, and by the whole scale of the operation and the resources normally devoted to it. A census of population and housing is the biggest national resource that acts both as an input into development programmes, and as a measure of the impact of various development programmes embarked on by Governments, NGOs and other stakeholders with development programmes in Zambia.

It provides a vital account of the impact of developmental programmes on the population in areas of education, health, economic activity, agriculture, housing and infrastructure, internal and international migration, urbanisation, fertility, mortality and population growth, size, composition and distribution. It also provides an accurate and reliable record of changes in these important population attributes over time and forms the cornerstone of the country's national statistical system.

The main objective of conducting a Population Census is to enumerate all the people in the country in order to provide the Government, private organisations, individuals, and other stakeholders with the number of persons in each district, township, locality, village, etc., according to age, sex, and other characteristics. For every aspect of planning, it is essential to know the size, structure and distribution of the population of a country. This information is required for various aspects of social and economic planning. The other objectives of the census include; - To provide accurate and reliable information on the size, composition and distribution of the population of Zambia - To provide Information on the Demographic and Socio-economic Characteristics of the population of Zambia - To provide indicators for measuring progress towards national and international development goals

Geographic coverage

Nationwide Census

Analysis unit

All Household and Individuals

Universe

The Census of Population and Housing covered all de jure and de facto population in the households. It excluded a) Foreign diplomatic personnel accredited to Zambia; and b) Zambian nationals accredited to foreign embassies and their family members who live with them abroad and , Zambian migrant workers and students in foreign countries who were not in the country at the time of the census.

Kind of data

Census/enumeration data [cen]

Sampling procedure

Complete enumeration of all persons in Zambia in 2000

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaires for the census were structured questionnaires that included internationally agreed core topics. There were two questionnaires used, Form A capturing General Characteristics and Form B capturing Personal information. Form A - General charateristics includes household listing, various questions on housing characteristics such as type of housing, occupancy status,housing building materials Sanitation (garbage disposal, main source of water) and various questions on household characteristics such as Source of energy (heating, lighting and cooking), ownership of assests, toilet facilities. Form B - Personal Information collected information on Age, marital status, ethnicity, ecomonic activity, education and health data.

Census questionnaires provided as an external resource

Cleaning operations

Data editing of the questionnaires was done manually before data was captured using Optical Mark Reading (OMR) technology. Some questionnaires were entered manually and editing and validation of data was done.

Editing was a continuous process throughout the scanning exercise. Rejected forms were checked for errors that might have arisen due to incorrect or insufficient recording of information in the field. Trained Questionnaire Editors then made corrections accordingly, and the forms were re-scanned. Completely rejected forms were forwarded for manual data entry.

This statistic shows the median age of the population in Zambia from 1950 to 2100*.The median age is the age that divides a population into two numerically equal groups; that is, half the people are younger than this age and half are older. It is a single index that summarizes the age distribution of a population. In 2020, the median age of the Zambian population was 16.9 years.

This bar chart displays population (people) by currency using the aggregation sum in Zambia. The data is about countries per year.

Abstract

The census of population and housing is designed to collect a complete count of households, dejure and defacto population. A Census of Population and Housing is defined by the United Nations as the total process of collecting, compiling, evaluating, analysing and publishing demographic, economic and social data pertaining, at a specified time or times, to all persons in a designated area or the whole country. It is the primary source of information about the population of a country. It is undertaken at regular intervals, usually after ten years. The population Census is distinguished from other kinds of field surveys by its traditional background, legal sanctions, coverage, and by the whole scale of the operation and the resources normally devoted to it. A census of population and housing is the biggest national resource that acts both as an input into development programmes, and as a measure of the impact of various development programmes embarked on by Governments, NGOs and other stakeholders with development programmes in Zambia.

It provides a vital account of the impact of developmental programmes on the population in areas of education, health, economic activity, agriculture, housing and infrastructure, internal and international migration, urbanization, fertility, mortality and population growth, size, composition and distribution. It also provides an accurate and reliable record of changes in this important population attributes over time and forms the cornerstone of the country's national statistical system.

The main objective of conducting a Population Census is to enumerate all the people in the country in order to provide the Government, private organisations, individuals, and other stakeholders with the number of persons in each district, township, locality, village, etc., according to age, sex, and other characteristics. For every aspect of planning, it is essential to know the size, structure and distribution of the population of a country. This information is required for various aspects of social and economic planning. The other objectives of the census include that of; - Providing accurate and reliable information on the size, composition and distribution of the population of Zambia - Providing Information on the Demographic and Socio-economic Characteristics of the population of Zambia - Providing indicators for measuring progress towards national and international development goals

Geographic coverage

National coverage

Analysis unit

Individuals, household, persons over the age of 12 years

Universe

The Census of Population and Housing covered all de jure and de facto population in the households. It excluded a) Foreign diplomatic personnel accredited to Zambia; and b) Zambian nationals accredited to foreign embassies and their family members who live with them abroad and, Zambian migrant workers and students in foreign countries who were not in the country at the time of the census.

Kind of data

Census/enumeration data [cen]

Sampling procedure

Complete enumeration of all persons in Zambia in 1990

Mode of data collection

Face-to-face [f2f]

Research instrument

The 1990 census questionnaire included internationally agreed core topics. The questionnaire was developed in English. Among the information included in the questionnaire is that of household identification, Personal information such as membership status, sex, Age and disability. Other information includes that of migration, ethnicity and language, education, economic activity, employment status, occupation and industry. For females 12 years and over, the questionnaire had information on fertility and mortality. Household characteristics such as Source of energy (heating, lighting and cooking), ownership of assets and type of toilet facilities, is included as well as housing characteristics such as type of housing, occupancy status, housing building materials Sanitation (garbage disposal, main source of water. The questionnaire also has a section on agriculture activity.

Necessary script and data to run spatial capture recapture model written with nimbleSCR to estimate population density of the Luangwa giraffe, from detection data collected via a single season , road-based, search-and-encounter survey conducted in 2023 in the Luangwa Valley in northeastern Zambia.

ZM：人口密度：每平方公里人口在12-01-2017达22.995Person/sq km，相较于12-01-2016的22.319Person/sq km有所增长。ZM：人口密度：每平方公里人口数据按年更新，12-01-1961至12-01-2017期间平均值为10.511Person/sq km，共57份观测结果。该数据的历史最高值出现于12-01-2017，达22.995Person/sq km，而历史最低值则出现于12-01-1961，为4.224Person/sq km。CEIC提供的ZM：人口密度：每平方公里人口数据处于定期更新的状态，数据来源于World Bank，数据归类于全球数据库的赞比亚 – 表 ZM.世行.WDI：人口和城市化进程统计。

This bar chart displays male population (people) by region using the aggregation sum in Zambia. The data is about countries per year.

Ungulate populations face declines across the globe, and populations are commonly conserved by using protected areas. However, assessing the effectiveness of protected areas in conserving ungulate populations has remained difficult. Using herd size data from four years of line transect surveys and distance sampling models, we modeled population densities of four important herbivore species across a gradient of protection on the edge of Zambia’s South Luangwa National Park (SLNP) while accounting for the role of various ecological and anthropogenic variables. Our goal was to test whether protection was responsible for density dynamics in this protection gradient, and whether a hunting moratorium impacted herbivore densities during the studies. For all four species, we estimated lower densities in partially protected buffer areas adjacent to SLNP (ranging from 4.5-fold to 13.2-fold lower) compared to protected parklands. Density trends through the study period were species-specific, with some species increasing, decreasing, or remaining stable in all or some regions of the protection gradient. Surprisingly, when controlling for other covariates, we found that these observed differences were not always detectably related to the level of protection or year. Our findings highlight the importance of accounting for variables beyond strata of interest in evaluating the effectiveness of a protected area. This study highlights the importance of comprehensively modeling ungulate population density across protection gradients, identifies lands within an important protection gradient for targeted conservation and monitoring, documents prey depletion and expands our understanding on the drivers in a critical buffer area in Zambia.