This statistic shows the biggest cities in Kazakhstan in 2023. In 2023, approximately **** 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 *********** inhabitants accounting for ** percent of the total population of the country, offered by far the largest number of public bus routes - a total of ***. The capital of Kazakhstan, Nur-Sultan, followed next with *** public bus routes available for its locals and visitors.

This dataset is about cities in Kazakhstan. It has 113 rows. It features 3 columns: country, and population.

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;

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 August of 2025.

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 August of 2025.

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.

Kazakhstan Population: City: Almaty data was reported at 1,801.993 Person th in Sep 2018. This records a decrease from the previous number of 1,838.929 Person th for Aug 2018. Kazakhstan Population: City: Almaty data is updated monthly, averaging 1,400.200 Person th from Sep 2001 (Median) to Sep 2018, with 198 observations. The data reached an all-time high of 1,838.929 Person th in Aug 2018 and a record low of 1,130.300 Person th in Sep 2001. Kazakhstan Population: City: Almaty data remains active status in CEIC and is reported by The Agency of Statistics of the Republic of Kazakhstan. The data is categorized under Global Database’s Kazakhstan – Table KZ.G001: Population: by Region.

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

Kazakhstan Population: City: Shymkent data was reported at 1,010.855 Person th in Oct 2018. This records an increase from the previous number of 1,010.514 Person th for Sep 2018. Kazakhstan Population: City: Shymkent data is updated monthly, averaging 1,008.050 Person th from May 2018 (Median) to Oct 2018, with 6 observations. The data reached an all-time high of 1,010.855 Person th in Oct 2018 and a record low of 952.170 Person th in Jul 2018. Kazakhstan Population: City: Shymkent data remains active status in CEIC and is reported by The Agency of Statistics of the Republic of Kazakhstan. The data is categorized under Global Database’s Kazakhstan – Table KZ.G001: Population: by Region.

Kazakhstan Population: Economically Non Active: Urban: City: Almaty data was reported at 444.888 Person th in Jun 2018. This records an increase from the previous number of 444.375 Person th for Mar 2018. Kazakhstan Population: Economically Non Active: Urban: City: Almaty data is updated quarterly, averaging 383.300 Person th from Jun 2001 (Median) to Jun 2018, with 69 observations. The data reached an all-time high of 444.888 Person th in Jun 2018 and a record low of 326.309 Person th in Jun 2001. Kazakhstan Population: Economically Non Active: Urban: City: Almaty data remains active status in CEIC and is reported by The Agency of Statistics of the Republic of Kazakhstan. The data is categorized under Global Database’s Kazakhstan – Table KZ.G013: Economically Active and Non Active Population: by Region.

Kazakhstan Population: Economically Active: City: Almaty data was reported at 959.658 Person th in Sep 2018. This records an increase from the previous number of 959.654 Person th for Jun 2018. Kazakhstan Population: Economically Active: City: Almaty data is updated quarterly, averaging 711.464 Person th from Mar 2001 (Median) to Sep 2018, with 71 observations. The data reached an all-time high of 959.658 Person th in Sep 2018 and a record low of 531.700 Person th in Mar 2001. Kazakhstan Population: Economically Active: City: Almaty data remains active status in CEIC and is reported by The Agency of Statistics of the Republic of Kazakhstan. The data is categorized under Global Database’s Kazakhstan – Table KZ.G013: Economically Active and Non Active Population: by Region.

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.

Kazakhstan Population: Economically Non Active: Urban: City: Astana data was reported at 207.738 Person th in Jun 2018. This records a decrease from the previous number of 207.983 Person th for Mar 2018. Kazakhstan Population: Economically Non Active: Urban: City: Astana data is updated quarterly, averaging 148.158 Person th from Jun 2001 (Median) to Jun 2018, with 69 observations. The data reached an all-time high of 207.983 Person th in Mar 2018 and a record low of 58.816 Person th in Jun 2001. Kazakhstan Population: Economically Non Active: Urban: City: Astana data remains active status in CEIC and is reported by The Agency of Statistics of the Republic of Kazakhstan. The data is categorized under Global Database’s Kazakhstan – Table KZ.G013: Economically Active and Non Active Population: by Region.

Download high-quality, up-to-date Kazakhstan shapefile boundaries (SHP, projection system SRID 4326). Our Kazakhstan Shapefile Database offers comprehensive boundary data for spatial analysis, including administrative areas and geographic boundaries. This dataset contains accurate and up-to-date information on all administrative divisions, zip codes, cities, and geographic boundaries, making it an invaluable resource for various applications such as geographic analysis, map and visualization, reporting and business intelligence (BI), master data management, logistics and supply chain management, and sales and marketing. Our location data packages are available in various formats, including Shapefile, GeoJSON, KML, ASC, DAT, CSV, and GML, optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more. Companies choose our location databases for their enterprise-grade service, reduction in integration time and cost by 30%, and weekly updates to ensure the highest quality.

Kazakhstan Population: City: Astana data was reported at 1,030.577 Person th in Sep 2018. This records a decrease from the previous number of 1,056.742 Person th for Aug 2018. Kazakhstan Population: City: Astana data is updated monthly, averaging 679.550 Person th from Sep 2001 (Median) to Sep 2018, with 198 observations. The data reached an all-time high of 1,056.742 Person th in Aug 2018 and a record low of 490.800 Person th in Sep 2001. Kazakhstan Population: City: Astana data remains active status in CEIC and is reported by The Agency of Statistics of the Republic of Kazakhstan. The data is categorized under Global Database’s Kazakhstan – Table KZ.G001: Population: by Region.

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

The potential for developing smart cities in Kazakhstan is evaluated using cluster analysis. Built on previous research focused on clustering the regions of Kazakhstan, this study applies the same method to the cities of the country. The analysis uses indicators related to human capital, infrastructure, education, information technology, production, and other factors to assess the potential of each city. The clustering is performed using Single Linkage, Complete Linkage, and Ward’s methods. The results show that Almaty and Astana are the cities with the highest potential for becoming smart cities. Aktobe is identified as a city with distinctive features that may help or hinder its development as a smart city. The remaining cities are clustered into two groups, with one group having the potential to catch up and maintain the trend of developing smart cities, while the other group is less suitable for starting smart city projects and may require more investment per capita. The study highlights the deep regional inequality affecting the potential to successfully develop and manage smart cities in Kazakhstan. The analysis also reveals some limitations and challenges in the data and variables used, including the lack of data for some variables and the difficulties in "translating" some factors and indicators into quantitative variables for clustering. The study concludes that future research should address these challenges and consider clustering inside certain regions to focus on their unique features. The study recommends launching pilot projects in small cities, with the most successful practices then scaled and implemented in the core smart cities and possibly Aktobe, if it manages to use its advantages to compensate for risks. Overall, this study provides insights into the potential of smart city development in Kazakhstan and can inform policymakers in their efforts to support smart city projects in the country.

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.