Zambia Population: Lusaka data was reported at 3,002,530.000 Person in 2017. Zambia Population: Lusaka data is updated yearly, averaging 3,002,530.000 Person from Dec 2017 (Median) to 2017, with 1 observations. Zambia Population: Lusaka data remains active status in CEIC and is reported by Central Statistical Office. The data is categorized under Global Database’s Zambia – Table ZM.G007: Labour Force Survey: Population: by Province and Settlement Type.

This statistic shows the total population of Zambia from 2013 to 2023 by gender. In 2023, Zambia's female population amounted to approximately 10.47 million, while the male population amounted to approximately 10.26 million inhabitants.

Zambia Population: Age 15 and Above: Lusaka data was reported at 1,598,702.000 Person in 2014. This records an increase from the previous number of 1,466,134.000 Person for 2012. Zambia Population: Age 15 and Above: Lusaka data is updated yearly, averaging 1,466,134.000 Person from Dec 2008 (Median) to 2014, with 3 observations. The data reached an all-time high of 1,598,702.000 Person in 2014 and a record low of 996,504.000 Person in 2008. Zambia Population: Age 15 and Above: Lusaka data remains active status in CEIC and is reported by Central Statistical Office. The data is categorized under Global Database’s Zambia – Table ZM.G005: Population: by Province, Sex and Settlement Type.

Zambia Population: Male: Age 15 and Above: Lusaka data was reported at 784,396.000 Person in 2014. This records an increase from the previous number of 717,262.000 Person for 2012. Zambia Population: Male: Age 15 and Above: Lusaka data is updated yearly, averaging 717,262.000 Person from Dec 2008 (Median) to 2014, with 3 observations. The data reached an all-time high of 784,396.000 Person in 2014 and a record low of 502,883.000 Person in 2008. Zambia Population: Male: Age 15 and Above: Lusaka data remains active status in CEIC and is reported by Central Statistical Office. The data is categorized under Global Database’s Zambia – Table ZM.G005: Population: by Province, Sex and Settlement Type.

Population growth of Lusaka reduced by 2.86% from 3.5 % in 2023 to 3.4 % in 2024.

Zambia Population: Mid Year: Lusaka data was reported at 2,191,225.000 Person in 2010. This records an increase from the previous number of 1,733,830.000 Person for 2009. Zambia Population: Mid Year: Lusaka data is updated yearly, averaging 1,579,769.000 Person from Jun 2000 (Median) to 2010, with 11 observations. The data reached an all-time high of 2,191,225.000 Person in 2010 and a record low of 1,391,329.000 Person in 2000. Zambia Population: Mid Year: Lusaka data remains active status in CEIC and is reported by Central Statistical Office. The data is categorized under Global Database’s Zambia – Table ZM.G001: Population: Mid Year.

Zambia CSOZ Forecast: Population: Mid Year: Lusaka data was reported at 5,465,775.000 Person in 2035. This records an increase from the previous number of 5,307,950.000 Person for 2034. Zambia CSOZ Forecast: Population: Mid Year: Lusaka data is updated yearly, averaging 3,739,872.000 Person from Jun 2011 (Median) to 2035, with 25 observations. The data reached an all-time high of 5,465,775.000 Person in 2035 and a record low of 2,362,967.000 Person in 2011. Zambia CSOZ Forecast: Population: Mid Year: Lusaka data remains active status in CEIC and is reported by Central Statistical Office. The data is categorized under Global Database’s Zambia – Table ZM.G002: Population: Mid Year: Forecast: Central Statistical Office of Zambia.

This statistic shows a forecast of the biggest cities in Zambia in 2022. In 2022, approximately 2.2 million people will live in Lusaka, making it the biggest city in Zambia.

Abstract

The 2001-2002 Zambia Demographic and Health Survey (ZDHS) was carried out by the Central Statistical Office and the Central Board of Health. It is a nationally representative sample of 7,658 women age 15-49 and 2,145 men age 15-59. The principal objective of the survey was to provide data to policymakers and planners on the population and health situation in Zambia. Most of the information collected in the 2001-2002 ZDHS represents updated estimates of basic demographic and health indicators covered in the 1992 ZDHS and 1996 ZDHS surveys.

The 2001-2002 ZDHS was conducted by the Central Statistical Office (CSO) and the Central Board of Health (CBoH). ORC Macro of Calverton, Maryland provided technical assistance to the project through its contract with the U.S. Agency for International Development (USAID). Funding for the survey was supplied by ORC Macro (from USAID), the Government of Japan through a trust fund managed by the United Nations Development Programme (UNDP) and through bilateral agreements between the Government of the Republic of Zambia and the United Nations Population Fund (UNFPA), and the Danish International Development Agency (DANIDA).

The primary objectives of the ZDHS are: - To collect up-to-date information on fertility, infant and child mortality and family planning; - To collect information on health-related matters such as breastfeeding, antenatal care, children's immunisations and childhood diseases; - To assess the nutritional status of mothers and children; - To support dissemination and utilisation of the results in planning, managing and improving family planning and health services in the country;
- To enhance the survey capabilities of the institutions involved in order to facilitate the implementation of surveys of this type in the future; and - To document current epidemics of sexually transmitted infections and HIV/AIDS through use of specialised modules.

Specifically, the 2001-2002 ZDHS collected detailed information on fertility and family planning, child mortality and maternal mortality, maternal and child health and nutritional status, and knowledge, awareness and behaviour regarding HIV/AIDS and other sexually transmitted infections. New features of the 20012002 ZDHS include the collection of information on violence against women and testing of individuals for HIV and syphilis.

Geographic coverage

The DHS 2001-02 is a nationally representative survey. The primary focus of the 2001 Zambia DHS is to provide estimates of key population and health indicators, including fertility and mortality rates, for the country as a whole, and for urban and rural areas separately. Also, the sample was designed to provide estimates of key variables for the nine provinces, namely, 1) Central, 2) Copperbelt, 3) Eastern, 4) Luapula, 5) Lusaka, 6) Northern, 7) North-Western, 8) Southern, and 9) Western. In addition, the sample provides basic information for a total of 12 combined districts (not each separately) that are the special focus of the Zambia Integrated Health Programme (Livingstone, Kalomo, Chibombo, Kabwe Urban, Ndola Urban, Kitwe, Chipata, Lundazi, Chama, Kasama, Samfya, and Mwense).

Analysis unit

• Household
• women age 15-49
• Men age 15-59
• Children under five years

Universe

The population covered by the 2001-2002 ZDHS is defined as the universe of all women age 1549 in Zambia and all men age 15-59. A sample of households was selected and all women age 15-49 identified in the households were interviewed. In addition, in a subsample of one-third of all the households selected for the ZDHS, all men 15-59 were eligible to be interviewed if they were either permanent residents or visitors present in the household on the night before the survey.

Kind of data

Sample survey data

Sampling procedure

The 2001-2002 Zambia Demographic and Health Survey (ZDHS) is a comprehensive nationally representative population and health survey carried out by the Central Statistical Office in partnership with the Central Board of Health. ORC Macro provided financial and technical assistance for the survey through the USAID-funded MEASURE DHS+ programme. Additional funding for the ZDHS was received from the Government of Japan, UNFPA, and DANIDA. The principal objective of the ZDHS is to provide current and reliable data on fertility and family planning behaviour, child mortality, children's nutritional status, the utilization of maternal, child health services, knowledge and prevalence of HIV and syphilis.

SAMPLE DOMAINS

The Zambia DHS collected demographic and health information from a nationally representative sample of women and men age 15-49 and 15-59, respectively. The primary focus of the 2001 Zambia DHS is to provide estimates of key population and health indicators, including fertility and mortality rates, for the country as a whole, and for urban and rural areas separately. Also, the sample was designed to provide estimates of key variables for the nine provinces, namely, 1) Central, 2) Copperbelt, 3) Eastern, 4) Luapula, 5) Lusaka, 6) Northern, 7) North-Western, 8) Southern, and 9) Western. In addition, the sample provides basic information for a total of 12 combined districts (not each separately) that are the special focus of the Zambia Integrated Health Programme (Livingstone, Kalomo, Chibombo, Kabwe Urban, Ndola Urban, Kitwe, Chipata, Lundazi, Chama, Kasama, Samfya, and Mwense).

SAMPLE FRAME

Zambia is divided into nine provinces. In turn, each province is subdivided in districts, each district into constituencies, and each constituency into wards. In addition to these administrative units, during the 2000 population census, each ward was subdivided into convenient areas called census supervisory areas (CSAs), and in turn each CSA into standard enumeration areas (SEAs). In total Zambia has 72 districts, 150 constituencies, 1,289 wards, about 4,400 CSAs, and about 16,400 SEAs. Preliminary information on the counts of households and population, as well as cartographic materials were available from the 2000 population census for the SEAs. Therefore, the sample frame for this survey was the list of SEAs developed from the 2000 population census.

STRATIFICATION

In the preliminary census frame, the SEAs were grouped by CSAs, by CSAs within a ward, by wards within a constituency, by constituencies within a district and by districts within a province for purposes of the ZDHS. The SEAs were further stratified separately by urban and rural areas within each province.

SAMPLE ALLOCATION

The primary sampling unit (PSU), the cluster for the 2001-2002 ZDHS, is defined on the basis of SEAs from the census frame. A minimum requirement of 85 households for the cluster size was imposed in the design. If an SEA did not have 85 households, it was combined with an adjacent SEA; thus, the ZDHS cluster comprised one or more SEAs. The number of clusters in each district was not allocated proportional to the total population due to the need to present estimates by each of the nine provinces. Zambia is a country where two-thirds of the population reside in rural areas, and one-third in urban areas.

The target for the 2001-2002 ZDHS sample was 8,000 completed interviews. Based on the level of non-response found in the 1996 ZDHS, to achieve this target, approximately 8,200 households were selected, with all women age 15-49 being interviewed. The target was to reach a minimum of 750 completed interviews per province. In each province the number of households was distributed proportionately among the urban and rural areas. Table A.2 shows the distribution of about 8,200 households by province.

The urban-rural distribution was also considered in distributing the sample. The selected households were distributed in 320 clusters in Zambia, 100 clusters in the urban areas, and 220 clusters in the rural areas.

Under this final allocation, the 12 combined districts of the Zambia Integrated Health Programme have 77 selected clusters, 36 in urban areas and 41 in rural areas.

SAMPLE SELECTION

The 2001-2002 ZDHS sample was selected using a stratified two-stage cluster design consisting of 320 clusters, 100 in urban and 220 in rural areas. Once the number of households was allocated to each combination of province by urban and rural areas, the number of clusters was calculated based on an average sample take of 25 completed interviews among women 15-49 years. In each urban or rural area in a given province, clusters were selected systematically with probability proportional to the number of households in each cluster.

Mode of data collection

Face-to-face

Research instrument

Three questionnaires were used for the 2001-2002 ZDHS: a) the Household Questionnaire, b) the Women's Questionnaire c) the Men's Questionnaire.

The contents of these questionnaires were based on the model questionnaires developed by the MEASURE DHS+ programme for use in countries with low levels of contraceptive use.

In consultation with technical institutions, local and international organisations, the CSO modified the DHS model questionnaires to reflect relevant issues in population, family planning and other health issues in Zambia. A series of questionnaire design meetings were organised by the CSO with the assistance of ORC Macro, and the inputs generated in these meetings were used to produce the first draft of the ZDHS questionnaires. These questionnaires were translated from English into the seven major languages, namely Bemba, Kaonde, Lozi, Lunda, Luvale, Nyanja, and Tonga.

a) The Household Questionnaire was used to list all the usual members and visitors in the selected

Zambia Population: Economically Inactive: Male: Lusaka data was reported at 199,948.000 Person in 2014. This records an increase from the previous number of 168,528.000 Person for 2012. Zambia Population: Economically Inactive: Male: Lusaka data is updated yearly, averaging 168,528.000 Person from Dec 2008 (Median) to 2014, with 3 observations. The data reached an all-time high of 199,948.000 Person in 2014 and a record low of 131,337.000 Person in 2008. Zambia Population: Economically Inactive: Male: Lusaka data remains active status in CEIC and is reported by Central Statistical Office. The data is categorized under Global Database’s Zambia – Table ZM.G015: Economically Inactive Population by Province and Sex.

Zambia Population: Inactivity Rate: Male: Lusaka data was reported at 25.500 % in 2014. This records an increase from the previous number of 23.500 % for 2012. Zambia Population: Inactivity Rate: Male: Lusaka data is updated yearly, averaging 25.500 % from Dec 2008 (Median) to 2014, with 3 observations. The data reached an all-time high of 26.100 % in 2008 and a record low of 23.500 % in 2012. Zambia Population: Inactivity Rate: Male: Lusaka data remains active status in CEIC and is reported by Central Statistical Office. The data is categorized under Global Database’s Zambia – Table ZM.G015: Economically Inactive Population by Province and Sex.

3,4 (%) in 2024.

3.870.981 (persons) in 2024.

Zambia Population: Economically Inactive: Lusaka data was reported at 437,608.000 Person in 2014. This records an increase from the previous number of 373,867.000 Person for 2012. Zambia Population: Economically Inactive: Lusaka data is updated yearly, averaging 373,867.000 Person from Dec 2008 (Median) to 2014, with 3 observations. The data reached an all-time high of 437,608.000 Person in 2014 and a record low of 342,855.000 Person in 2008. Zambia Population: Economically Inactive: Lusaka data remains active status in CEIC and is reported by Central Statistical Office. The data is categorized under Global Database’s Zambia – Table ZM.G015: Economically Inactive Population by Province and Sex.

1.961.205 (persons) in 2024.

13,6 (percent) in 2024.

1.909.776 (persons) in 2024.

Abstract

The Central Statistical Office carried out a Living Conditions Monitoring Survey in November-December, 1998. The survey was carried out nation-wide in all the 72 districts of Zambia on a sample basis. The main objectives of the survey are to:- (i) Monitor the effects of government policies on households and individuals. (ii) Measure and monitor poverty overtime in order for government to evaluate its poverty reduction programs. (iii) To monitor the living conditions of households in Zambia in the form of access to various economic and social facilities and infrastructure and access to basic needs; food, shelter, clean water and sanitation, education and health, etc. (iv) To identify vulnerable groups in society. The Living Conditions Monitoring Survey (LCMS 1998) collected data on the living standards of households and persons in the areas of education, health, income sources, income levels, food production and consumption, and access to various amenities.

Geographic coverage

National

Analysis unit

• Households
• Individuals

Universe

The LCMS 1998 was conducted nation-wide on a sample basis and covered both rural and urban areas of all the 72 districts in the country. The eligible household population consisted of all households. Excluded from the sample were institutional populations in hospitals, boarding schools, colleges, universities, prisons, hotels, refugee camps, orphanages, military camps and bases and diplomats accredited to Zambia in embassies and high commissions. Private households living around these institutions and cooking separately were included such as teachers whose houses are within the premises of a school, doctors and other workers living on or around hospital premises, police living in police camps in separate houses, etc. Persons who were in hospitals, boarding schools, etc. but were usual members of households were included in their respective households. Ordinary workers other than diplomats working in embassies and high commissions were included in the survey also. Others with diplomatic status working in the UN, World Bank etc. were included. Also included were persons or households who live in institutionalized places such as hostels, lodges, etc. but cook separately. The major distinguishing factor between eligible and non eligible households in the survey is the cooking and eating separately versus food provided by an institution in a common/communal dining hall or eating place. The former cases were included while the latter were excluded.

Kind of data

Sample survey data [ssd]

Sampling procedure

Sampling Frame and Stratification The country is made up of 9 provinces comprising 72 districts delineated by the Local Government Administration. Previously there were 57 districts in Zambia. 15 new districts have been created. Central Statistical Office has delineated these districts into Census Supervisory Areas (CSAs) and then these into Standard Enumeration Areas (SEAs) for the purposes of conducting censuses and sampling for surveys. Each CSA is made up about 3 SEAs. The list of CSAs and SEAs by province & district constitute the sampling frame for CSO censuses and surveys. The sampling frame comprises 4,193 CSAs of which 3,231 are rural and 962 are urban and 12,999 SEAs. The frame of CSAs and SEAs is arranged by province, then by district within a province,then by rural/urban within a district, then by centrality within rural/urban, and finally by low, medium or high cost for urban SEAs. The frame also contains information on the number of households and the population size per SEA and this is what was used when selecting the sample using the probability proportional to size (PPS) method. The number of households and the population in the frame is based on the 1990 population census. To boost the data from the survey to 1998 population parameters the weights calculated were multiplied by a factor equal to the estimated population growth from 1990 to 1998. This was done at the district level.

The classification of centrality is shown below:- Centrality Classification:- 1. Areas within Lusaka city. 2. Areas within Ndola city. 3. Areas within Kitwe city. 4. Areas within 50 Kms radius outside Lusaka, or Ndola, or Kitwe cities. 5. Areas within provincial capitals. 6. Areas along Southern to Copperbelt line of Rail (within 30 Kms radius). 7. Areas along Northern line of Rail (within 30 Kms radius). 8. Areas within 30kms radius outside provincial capitals. 9. Areas within district centres. 10.Areas within 30 Kms radius outside district centres 11.Remote areas.

Areas within cities, provincial capitals and district centres is equivalent to the urban part of the town.Within the rural SEAs households have been classified on the basis of the scale of agricultural activities into small scale, medium scale, large scale, and non-agricultural households.The urban SEAs have been classified into low cost, medium cost or high cost depending on the type of housing in the area.The local government administration has classified localities into low, medium and high cost based on the required housing standard. The urban SEAs were classified into low, medium and high cost areas based on a combination of the local government and CSO criteria. All urban SEAs were physically visited by CSO mapping staff with locality classification from local government and determined whether the SEA was low, medium or high cost based on the local government definition and the actual observation of the mapper. The mappers were trained on how to make this determination. Households within rural SEAs were classified into small scale, medium scale, large scale, and non agricultural households after the listing operation.

Sample Size: Out of a total of 12,999 SEAs in the frame, a sample of 820 SEAs were selected for the Living Conditions Monitoring Survey (1998) representing about 6% of the total. The urban stratum was allocated 328 SEAs and the rural stratum was allocated 492 SEAs. The total number of households enumerated were 8520 in rural areas and 8220 in the urban areas.The total number of persons who fell in the sample were 45989 in rural areas and 47480 in urban areas.All the 72 districts in Zambia were covered in the survey on a sample basis.

Sample Allocation: Sample allocation was done using the "Probability Proportional to size" (PPS) method. This entailed allocating the total sample (820) proportionately to each province according to its population share.Thereafter, allocation of the provincial sample was done proportionately to each district according to the population share from the provincial population. Similarly allocation was done by centrality within a district. For example, Mkushi district was allocated 10 SEAs by the PPS method. The district has four centrality classifications (9, 7, 10, and11). The number of SEAs under each centrality classification in the frame were summed up. The next step was to determine the share of each centrality group of SEAs from the total number of SEAs in the frame under Mkushi district. The corresponding proportions were used to allocate the sample to each centrality category. However, the final allocation was plus or minus depending on what was obtaining in the frame. For example if 1 SEA was to be allocated to centrality 9 (District centre) by using PPS and yet there is low, medium & high cost SEAs under centrality 9 in that district, the number of SEAs selected was 3 (one from low, and the other two from the medium & high cost SEAs). Not all centrality classifications obtain in all districts, for example, Lusaka district had all the SEAs fall under centrality 1 (Lusaka city) in the frame. Therefore the entire number of SEAs allocated to Lusaka district was selected from this category. The minimum size for each district sample was 7 SEAs, meaning that even the smallest district was allocated at least 7 SEAs.

Sample Selection: Sample selection was done in two stages. In the first stage, a sample of SEAs was selected within each stratum (centrality) according to the number allocated to that stratum. The second stage comprised selection of households from each sample SEA according to the number of households recommended after a complete listing of all households in the sample SEAs. Thus SEAs formed primary sampling units. The unit of analysis was the household.

Selection of SEAS: After sample allocation was done, selection of the sample SEAs from the frame followed. The allocated number of SEAs were selected at centrality level using the PPS method.

Selection of Households:In each selected SEA, households were listed and each household given a unique sampling serial number. A circular systematic sample of households was then selected. Vacant residential housing units and noncontact households were not assigned sampling serial numbers. Selection of sample households was done by supervisors in the field and they were required to select the following numbers of households: 30 households from SEAs with sample Micro-projects (whether rural or urban). 25 households from urban SEAs (without sample micro-projects) 15 households from rural SEAs (without sample micro-projects). This number increased in rural SEAs where large scale farmers were identified.

In urban areas the required sample number of households were selected straight forwardly using the circular systematic sampling method. In the rural areas, 7 households were selected from the stratum of small scale farmers, 5 from medium scale farmers, 3 from non-agricultural households, and all large scale farmers if any were found in the SEA. Therefore, the number of selected households from a rural SEA was more than 15 where there were large scale farmers. In Micro-project areas the number of households to

人口：女性：15岁及以上：卢萨卡在12-01-2014达814,307.000人，相较于12-01-2012的748,872.000人有所增长。人口：女性：15岁及以上：卢萨卡数据按年更新，12-01-2008至12-01-2014期间平均值为748,872.000人，共3份观测结果。该数据的历史最高值出现于12-01-2014，达814,307.000人，而历史最低值则出现于12-01-2008，为493,621.000人。CEIC提供的人口：女性：15岁及以上：卢萨卡数据处于定期更新的状态，数据来源于Central Statistical Office，数据归类于Global Database的赞比亚 – Table ZM.G005：人口：按省份、性别和结算类型分类。

人口：中年人口：卢萨卡在06-01-2010达2,191,225.000人，相较于06-01-2009的1,733,830.000人有所增长。人口：中年人口：卢萨卡数据按年更新，06-01-2000至06-01-2010期间平均值为1,579,769.000人，共11份观测结果。该数据的历史最高值出现于06-01-2010，达2,191,225.000人，而历史最低值则出现于06-01-2000，为1,391,329.000人。CEIC提供的人口：中年人口：卢萨卡数据处于定期更新的状态，数据来源于Central Statistical Office，数据归类于Global Database的赞比亚 – 表 ZM.G001：人口：中年人口。