This statistic shows the biggest cities in Kazakhstan in 2023. In 2023, approximately 2.16 million people lived in Almaty, making it the biggest city in Kazakhstan.

Kazakhstan KZ: Population in Largest City data was reported at 1,547,257.000 Person in 2017. This records an increase from the previous number of 1,534,894.000 Person for 2016. Kazakhstan KZ: Population in Largest City data is updated yearly, averaging 1,069,962.000 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 1,547,257.000 Person in 2017 and a record low of 528,653.000 Person in 1960. Kazakhstan KZ: Population in Largest City data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Kazakhstan – Table KZ.World Bank: Population and Urbanization Statistics. Population in largest city is the urban population living in the country's largest metropolitan area.; ; United Nations, World Urbanization Prospects.; ;

As of September 2020, Almaty, the largest city in Kazakhstan with a population of over two million inhabitants accounting for 11 percent of the total population of the country, offered by far the largest number of public bus routes - a total of 187. The capital of Kazakhstan, Nur-Sultan, followed next with 101 public bus routes available for its locals and visitors.

Population in largest city in Kazakhstan was reported at 2015209 in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Kazakhstan - Population in largest city - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

Kazakhstan KZ: Population in Largest City: as % of Urban Population data was reported at 16.112 % in 2017. This records a decrease from the previous number of 16.205 % for 2016. Kazakhstan KZ: Population in Largest City: as % of Urban Population data is updated yearly, averaging 12.242 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 16.395 % in 2014 and a record low of 11.431 % in 1967. Kazakhstan KZ: Population in Largest City: as % of Urban Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Kazakhstan – Table KZ.World Bank: Population and Urbanization Statistics. Population in largest city is the percentage of a country's urban population living in that country's largest metropolitan area.; ; United Nations, World Urbanization Prospects.; Weighted Average;

Graph and download economic data for Geographical Outreach: Number of Automated Teller Machines (ATMs) in 3 Largest Cities for Kazakhstan (KAZFCACLNUM) from 2004 to 2015 about Kazakhstan, ATM, banks, and depository institutions.

Population in the largest city (% of urban population) in Kazakhstan was reported at 16.76 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Kazakhstan - Population in the largest city - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

This horizontal bar chart displays health expenditure (% of GDP) by capital city using the aggregation average, weighted by gdp in Kazakhstan. The data is about countries per year.

This horizontal bar chart displays forest area (km²) by capital city using the aggregation sum in Kazakhstan. The data is filtered where the date is 2021. The data is about countries per year.

This horizontal bar chart displays female population (people) by capital city using the aggregation sum in Kazakhstan. The data is filtered where the date is 2021. The data is about countries per year.

This horizontal bar chart displays rural land area (km²) by capital city using the aggregation sum in Kazakhstan. The data is about countries per year.

The city of Almaty is one of the largest cities in the Republic of Kazakhstan and has a population of about 2.2 million people (at the end of 2022), about 2.5 million more people live in the urban agglomeration. Almaty is also the largest cultural, industrial and commercial center of the Almaty region. All this contributes to a large flow of people who both work in the city and come from the region to work. In connection with the above, several problems arise:· Weak development of public transport. The city's road system is relatively undeveloped, with about 165 bus/trolleybus routes. The metro is poorly developed and has only 1 branch. At the same time, a large number of private cars are constantly moving in the city. There are no electric trains or LRT for the suburbs.

This horizontal bar chart displays unemployment (% of total labor force) by capital city using the aggregation average in Kazakhstan. The data is filtered where the date is 2021. The data is about countries per year.

KZ：最大城市人口：占城镇人口百分比在12-01-2017达16.112%，相较于12-01-2016的16.205%有所下降。KZ：最大城市人口：占城镇人口百分比数据按年更新，12-01-1960至12-01-2017期间平均值为12.242%，共58份观测结果。该数据的历史最高值出现于12-01-2014，达16.395%，而历史最低值则出现于12-01-1967，为11.431%。CEIC提供的KZ：最大城市人口：占城镇人口百分比数据处于定期更新的状态，数据来源于World Bank，数据归类于Global Database的哈萨克斯坦 – 表 KZ.世界银行：人口和城市化进程统计。

This horizontal bar chart displays vulnerable employment (% of total employment) by capital city using the aggregation average in Kazakhstan. The data is filtered where the date is 2021. The data is about countries per year.

This horizontal bar chart displays electricity production from coal sources (% of total) by capital city using the aggregation average in Kazakhstan. The data is about countries per year.

This horizontal bar chart displays proportion of seats held by women in national parliaments (%) by capital city using the aggregation average in Kazakhstan. The data is about countries per year.

This horizontal bar chart displays greenhouse gas emissions (CO2, CH4, N2O, HFCs, PFCs, SF6) (Mt of CO2 equivalent) by capital city using the aggregation sum in Kazakhstan. The data is filtered where the date is 2021. The data is about countries per year.

Abstract

The Agency of Statistics of the Republic of Kazakhstan has been conducting redesigned annual Household Budget Surveys since 2001. The HBS introduced in 2001, adopted different sample design and data gathering instruments compared to previous household budget surveys. A new probability sample based on a sampling frame from the 1999 Population Census has been used. A stratified multi-stage cluster sample of 12,000 households is drawn. The HBS questionnaires were redesigned to be more suitable and flexible instruments for multi-purpose analysis and poverty monitoring.

Kazakhstan Household Budget Survey covers household and respondents' characteristics, housing, consumption patterns, sources of income, labor force participation and unemployment, as well as access to education and health services. The data is gathered through face-to-face interviews, 7-day expenditure diaries and quarterly expenditure and income diaries.

Geographic coverage

National coverage

Analysis unit

• Households,
• Individuals.

Universe

The universe includes all households residing in either an individual house, part of a house or individual apartment, and excludes households and individuals residing in institutions and the homeless.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling of households was created by multi-probabilistic (random) sample. This principle guarantees the independence of the selection of the sample results and avoid deliberate its mistakes. Formation of a sample of households was carried out by the territorial principle-based register (list) of housing facilities, set up following the National Census of the Republic of Kazakhstan. Network representative as to the national and at regional level.

General population was divided into six strata: large, medium and small cities of Almaty, Astana, and the countryside.

• The first stratum includes households of major cities with the number of households over 30 thousand units.
• The second stratum comprises households with medium-sized cities of households over 10 thousand units, but less than 30 thousand.
• The third stratum includes households in small towns and townships with the number of households no more than 10 thousand units.
• The fourth stratum comprises households in Almaty.
• The fifth stratum includes households of the city of Astana.
• The sixth stratum includes households of rural settlements.

The sample size was formed on the basis of the objectives of the survey, the degree of heterogeneity of the population studied in terms of properties and financing. The sample size for each stratum was determined using the following formula:

                       Ni
                  ni =-------*n ,
                       N

where:

n = 12000 ni - rounded to a multiple of 30, i = 1, 2, 3, 4, 5, 6.

All cities included in the first stratum, Almaty and Astana were selected with a probability equal to unity. Therefore, in the first stratum sample size of households was determined for each of the following formula:

                       N1j
                 n1j =-------* n1,
                       N1

where:

N1 - all households first stratum, N1j - the number of households of the j-th first stratum, n1 - a sample size first stratum, n1j - a sample size of the j-th first stratum (values rounded to a multiple of 30)

The sample medium, small cities and towns by the method of simple random sampling (PSV) using the software package SPSS. All medium-sized cities that are included in the second stratum, located from west to east in the following order: 1. West Kazakhstan region; 2. Atyrau region; 3. Mangystau; 4. Aktobe region; 5. Kyzylorda region; 6. Kostanay; 7. South Kazakhstan region; 8. Aqmola; 9. Karaganda region; 10. North Kazakhstan region; 11. Zhambyl; 12. Pavlodar region; 13. Almaty region; 14. East Kazakhstan region

Mode of data collection

Face-to-face [f2f]

Research instrument

The survey instrument consists of the following parts:

1) The main interview designed to list all household members for demographic characteristics of households, data on housing conditions, ownership of land and appointment of the next visit. Prior to that, a household receives a letter about the upcoming survey, which indicates the date and time of first visit.

2) Four quarterly interview in April, July and October of this year and in January of next year. Each quarterly interview covers the three previous months and collects information on major expenses and income. At the beginning of the quarter a household receives a register of quarterly expenses, which the interviewer uses an interview during the quarter.

3) Diary account of daily expenses, filled with household within a month of each quarter in accordance with the scheme of rotating groups.

Abstract

The 1995 Kazakstan Demographic and Health Survey (KDHS) is part of the worldwide Demographic and Health Surveys (DHS) program, which is designed to collect data on fertility, family planning and maternal and child health. The 1995 KDHS was the first national level population and health survey in Kazakstan. The purpose of the survey was to provide the Ministry of Health of Kazakstan with information on fertility, reproductive practices of women, maternal care, child health and mortality, child nutrition practices, breastfeeding, nutritional status and anemia. This information is important for understanding the factors that influence the reproductive health of women and the health and survival of infants and young children. It can be used in planning effective policies and programs regarding the health and nutrition of women and their children. This is especially important now during this the time of economic transition which involves virtually all aspects of life for the people of Kazakstan. The survey provides data important to the assessment of the overall demographic situation in the country. It is expected that the findings of the KDHS will become a useful source of information necessary for the ongoing health care reform in Kazakstan.

Geographic coverage

National

Analysis unit

• Household
• Children under five years
• Women age 15-49
• Men

Kind of data

Sample survey data

Sampling procedure

The 1995 KDHS employed a nationally representative probability sample of women age 15-49. The country was divided into five survey regions. Four survey regions consisted of groups of contiguous oblasts (except the East Kazakstanskaya oblast which is not contiguous). Almaty City constituted a survey region by itself although it is part of the Almatinskaya oblast. The five survey regions were defined as follows:

I) Almaty City 2) South Region: Taldy-Korganskaya, Almatinskaya (except Almaty city), Dzhambylskaya, South Kazakstanskaya, and Kzyl-Ordinskaya 3) West Region: Aktiubinskaya, Mangistauskaya, Atyrauskaya, and West Kazakstanskaya 4) Central Region: Semipalatinskaya, Zhezkazganskaya, and Tourgaiskaya 5) North and East Region: East Kazakstanskaya, Pavlodarskaya, Karagandinskaya, Akmolinskaya, Kokchetauskaya, North Kazakstanskaya, and Koustanaiskaya

It is important to note that the oblast composition of regions outside of Almaty City was determined on the basis of geographic proximity, and in order to achieve similarity with respect to reproductive practices within regions. The South and West Regions are comprised of oblasts which traditionally have a high proportion of Kazak population and high fertility levels. The Central Region contains three oblasts in which the fertility level is similar to the national average. The North and East Region contains seven oblasts situated in northern Kazakstan in which a relatively high proportion of the population is of Russian origin, and the fertility level is lower than the national average.

In Almaty City, the sample for the 1995 KDHS was selected in two stages. In the first stage, 40 census counting blocks were selected with equal probability from the 1989 list of census counting blocks. A complete listing of the households in the selected counting blocks was carried out. The lists of households served as the frame for second-stage sampling; i.e., the selection of the households to be visited by the KDHS interviewing teams. In each selected household, women age 15-49 were eligible to be interviewed.

In the rural areas, the primary sampling units (PSUs) were the raions which were selected with probability proportional to size, the size being the 1993 population published by Goskomstat (1993). At the second stage, one village was selected in each selected raion, from the 1989 Registry of Villages. This resulted in 50 rural clusters being selected. At the third stage, households were selected in each cluster following the household listing operation as in Almaty City.

In the urban areas other than Almaty City, the PSUs were the cities and towns themselves. In the second stage, one health block was selected from each town except in self-representing cities (large cities that were selected with certainty) where more than one health block was selected. The selected health blocks were segmented prior to the household listing operation which provided the household lists for the third stage selection of households. In total, 86 health blocks were selected.

On average, 22 households were selected in each urban cluster, and 33 households were selected in each rural cluster. It was expected that the sample would yield interviews with approximately 4,000 women between the ages of 15 and 49.

Note: See detailed description of sample design in APPENDIX B of the survey report.

Mode of data collection

Face-to-face

Research instrument

Two questionnaires were used for the 1995 KDHS: the Household Questionnaire and the Individual Questionnaire. The questionnaires were based on the model survey instruments developed in the DHS program. They were adapted to the data needs of Kazakhstan during consultations with specialists in the areas of reproductive health, child health and nutrition in Kazakhstan.

The Household Questionnaire was used to enumerate all usual members and visitors in tile sample households and to collect information relating to the socioeconomic position of a household. In the: first part of the Household Questionnaire, information was collected on age, sex, educational attainment, marital status, and relationship to the head of household of each person listed as a household member or visitor. A primary objective of the first part of the Household Questionnaire was to identify women who were eligible for the individual interview. In the second part of the Household Questionnaire, questions were included on the dwelling unit, such as the number of rooms, the flooring material, the source of water, the type of toilet facilities, and on the availability of a variety of consumer goods.

The Individual Questionnaire was used to collect information from women age 15-49. These women were asked questions on the following major topics: - Background characteristics - Pregnancy history - Outcome of pregnancies and antenatal care - Child health and nutrition practices - Child immunization and episodes of diarrhea and respiratory illness - Knowledge and use of contraception - Marriage and fertility preferences - Husband's background and woman's work - Anthropometry of children and mothers - Hemoglobin measurement of women and children

One of the major efforts of the 1995 KDHS was testing women and children for iron-deficiency anemia. Testing was done by measuring hemoglobin levels in the blood using the Hemocue technique. Before collecting the blood sample, each woman was asked to sign a consent form giving permission for the collection of a finger-stick blood droplet from herself and her children. Results of anemia testing were kept confidential (as are all KDHS data); however, strictly with the consent of respondents, local health care facilities were informed of women and children who had severely low levels of hemoglobin (less than 7 g/dl).

Cleaning operations

Questionnaires were returned to the Institute of Nutrition in Almaty for data processing. The office editing staff checked that the questionnaires for all selected households and eligible respondents were returned from the field. The few questions which had not been pre-coded (e.g., occupation, type of chronic disease) were coded at this time. Data were then entered and edited on microcomputers using the ISSA (Integrated System for Survey Analysis) package, with the data entry software translated into Russian. Office editing and data entry activities began in May 1995 (i.e., the same time that fieldwork started) and were completed in September 1995.

Response rate

A total of 4,480 households were selected in the sample, of which 4,241 were occupied at the time of fieldwork. The main reason for the difference was that some dwelling units which were occupied at the time of the household listing operation were either vacant or the household members were away for an extended period at the time of interviewing. Of the 4,241 occupied households, 4,178 were interviewed, yielding a household response rate of 99 percent.

In the interviewed households, 3,899 women were eligible for the individual interview (i.e., all women 15-49 years of age who were either usual residents or visitors who had spent the previous night in the household). Interviews were successfully completed with 3,771 of these women, yielding a response rate of 97 percent. The principal reason for non-response was the failure to find an eligible woman at home after repeated visits to the household. The overall response rate for the survey--the product of the household and the individual response rates--was 95 percent.

Note: See summarized response rates by place of residence in Table 1.1 of the survey report .

Sampling error estimates

The estimates from a sample survey are affected by two types of errors: (1) non-sampling errors, and (2) sampling errors. Non-sampling errors are the results of mistakes made in implementing data collection and data processing, such as failure to locate and interview the correct household, misunderstanding of the questions on the part of either the interviewer or the respondent, and data entry errors. Although numerous efforts were made during the implementation of the KDHS to minimize this type of error, non-sampling errors are impossible to avoid and difficult to evaluate