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4,320

WorldAsia

Kazakhstan

10 provinces · 41 cities · 23 other

Standard codes
ISO α2KZ
ISO α3KAZ
ISO num398
UN M.49398
GeoNames1522867
18,276,499population48.0000, 68.0000Independent political entity

Zhetisu oblysy, Aqtobe oblysy, Batys Qazaqstan oblysy, Turkistan oblysy, Shyghys Qazaqstan oblysy, Almaty oblysy, Soltustik Qazaqstan oblysy, Abay oblysy, Qaraghandy oblysy

Description

Alternative names

Afrikaans
Kazakstan
Akan
Kazakstan
Albanian
Kazakistan, Kazakistani
Amharic
ካዛኪስታን

Subregions

Zhetisu oblysy

Zhetisu oblysy

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Aqtobe oblysy

Aqtobe oblysy

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Batys Qazaqstan oblysy

Batys Qazaqstan oblysy

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Zhetisu oblysy

Zhetisu oblysy

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Aqtobe oblysy

Aqtobe oblysy

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Batys Qazaqstan oblysy

Batys Qazaqstan oblysy

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Turkistan oblysy

Turkistan oblysy

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Shyghys Qazaqstan oblysy

Shyghys Qazaqstan oblysy

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Almaty oblysy

Almaty oblysy

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Soltustik Qazaqstan oblysy

Soltustik Qazaqstan oblysy

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Abay oblysy

Abay oblysy

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Qaraghandy oblysy

Qaraghandy oblysy

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Ulytau oblysy

Ulytau oblysy

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South Kazakhstan

South Kazakhstan

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Aqtöbe

Aqtöbe

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Almaty

Almaty

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Astana

Astana

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Atyrau Oblisi

Atyrau Oblisi

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West Kazakhstan

West Kazakhstan

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Baikonur

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Turkistan

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Karaganda

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Shymkent

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Sarqant

Sarqant

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Baikonur

Baikonur

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Zhetysay

Zhetysay

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Aksu (1525462)

Aksu (1525462)

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Abay (1526973)

Abay (1526973)

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Oral

Oral

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Kandyagash

Kandyagash

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Lenger

Lenger

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Temirtau

Temirtau

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Shemonaikha

Shemonaikha

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Semey

Semey

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Saryaghash

Saryaghash

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Saran

Saran

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Ridder

Ridder

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Kalbatau

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Shalqar

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Aqsay

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Zhambyl

Zhambyl

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Almaty Region

Almaty Region

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Aqmola

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Aktobe

Aktobe

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Mangystau

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Pavlodar Region

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Abai Region

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Zhetysu Region

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Ulytau Region

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East Kazakhstan

East Kazakhstan

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North Kazakhstan

North Kazakhstan

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Taldykorgan

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Altay

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Shakhtinsk

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Petropavl

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Ust-Kamenogorsk

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Kentau

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Shardara

Shardara

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Balqash

Balqash

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Ayagoz

Ayagoz

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Arys

Arys

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Khromtau

Khromtau

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Abay

Abay

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Aktobe

Aktobe

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Zhezqazghan

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Zaysan

Zaysan

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Ushtobe

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Turkestan

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Tekeli

Tekeli

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Zharkent

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Satpayev

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Embi

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Data in VoxDash
    voxdash dataset logo
    Data project
    Data owner:

    OCED

    Geographies: Ecuador, Guatemala, Honduras·Topic: Students
    PISA for Development (Student questionnaire data )

    The PISA for Development programme aims to encourage and facilitate PISA participation by interested and motivated low- and middle-income countries. From this page you can download the PISA for Development dataset with the full set of responses from: In-school assessment: individual students, school principals and teachers Out-of-school assessment: individual respondents, parents/guardians of respondents and interviewer household observations These files will be of use to statisticians and professional researchers who would like to undertake their own analysis of the PISA for Development data. The files available on this page include questionnaires, codebooks, data files in SAS™ and SPSS™ formats, database compendia and tables including system-level data and descriptive analyses that were created to support the reporting of PISA for Development results by participating countries. The main data files for each assessment relate to: In-school assessment: student questionnaire (which also includes estimates of student performance), school questionnaire, teacher questionnaire and cognitive items Out-of-school assessment: respondent questionnaires (including youth, parent/guardian and household observation questionnaires, as well as estimates of respondent performance), cognitive items and questionnaire timing These files include data for participating countries: In-school assessment: Cambodia, Ecuador, Guatemala, Honduras, Paraguay, Senegal and Zambia Out-of-school assessment: Guatemala, Honduras, Panama, Paraguay and Senegal

    voxdash dataset logo
    Data project
    Data owner:

    OCED

    Geographies: Ecuador, Guatemala, Honduras·Topic: Students
    PISA for Development (Teacher questionnaire data )

    The PISA for Development programme aims to encourage and facilitate PISA participation by interested and motivated low- and middle-income countries. From this page you can download the PISA for Development dataset with the full set of responses from: In-school assessment: individual students, school principals and teachers Out-of-school assessment: individual respondents, parents/guardians of respondents and interviewer household observations These files will be of use to statisticians and professional researchers who would like to undertake their own analysis of the PISA for Development data. The files available on this page include questionnaires, codebooks, data files in SAS™ and SPSS™ formats, database compendia and tables including system-level data and descriptive analyses that were created to support the reporting of PISA for Development results by participating countries. The main data files for each assessment relate to: In-school assessment: student questionnaire (which also includes estimates of student performance), school questionnaire, teacher questionnaire and cognitive items Out-of-school assessment: respondent questionnaires (including youth, parent/guardian and household observation questionnaires, as well as estimates of respondent performance), cognitive items and questionnaire timing These files include data for participating countries: In-school assessment: Cambodia, Ecuador, Guatemala, Honduras, Paraguay, Senegal and Zambia Out-of-school assessment: Guatemala, Honduras, Panama, Paraguay and Senegal

    voxdash dataset logo
    Data project
    Data owner:

    OCED

    Geographies: Ecuador, Guatemala, Honduras·Topic: Students
    PISA for Development (School questionnaire data )

    The PISA for Development programme aims to encourage and facilitate PISA participation by interested and motivated low- and middle-income countries. From this page you can download the PISA for Development dataset with the full set of responses from: In-school assessment: individual students, school principals and teachers Out-of-school assessment: individual respondents, parents/guardians of respondents and interviewer household observations These files will be of use to statisticians and professional researchers who would like to undertake their own analysis of the PISA for Development data. The files available on this page include questionnaires, codebooks, data files in SAS™ and SPSS™ formats, database compendia and tables including system-level data and descriptive analyses that were created to support the reporting of PISA for Development results by participating countries. The main data files for each assessment relate to: In-school assessment: student questionnaire (which also includes estimates of student performance), school questionnaire, teacher questionnaire and cognitive items Out-of-school assessment: respondent questionnaires (including youth, parent/guardian and household observation questionnaires, as well as estimates of respondent performance), cognitive items and questionnaire timing These files include data for participating countries: In-school assessment: Cambodia, Ecuador, Guatemala, Honduras, Paraguay, Senegal and Zambia Out-of-school assessment: Guatemala, Honduras, Panama, Paraguay and Senegal

    voxdash dataset logo
    Data project
    Data owner:

    Environics Research

    Geographies: Argentina, Brazil, Canada·Topic: Data license - Creative Commons Attribution-Noncommercial 4.0 International (CC BY-NC)
    Environics Corporate Social Responsibility Monitor, 2002

    Environics Corporate Social Responsibility Monitor 2002 is a survey of global public opinion on the role of companies in society. This survey is based on the the results of face-to-face or telephone surveys with representative samples of about 1,000 citizens in each of 25 countries on six continents at varying stages of development. Research was carried out by respected social research institutes in each country between October and December 2001.

    voxdash dataset logo
    Data project
    Data owner:

    Environics Research

    Geographies: Argentina, Brazil, Canada·Topic: Social Sciences
    Environics Millennium Poll on Corporate Social Responsibility, 1999

    The Millennium Poll on Corporate Social Responsibility 1999 is a survey of global public opinion on the role of companies in society. This survey is based on the the results of face-to-face or telephone surveys with representative samples of about 1,000 citizens in each of 23 countries on six continents at varying stages of development.

    voxdash dataset logo
    Data project
    Data owner:

    Environics Research

    Geographies: Argentina, Brazil, Canada·Topic: Social Sciences
    Environics Global Issues Monitor, 2002

    Environics Corporate Social Responsibility Monitor 2002 is a survey of global public opinion on the role of companies in society. This survey is based on the the results of face-to-face or telephone surveys with representative samples of about 1,000 citizens in each of 25 countries on six continents at varying stages of development. The survey was fielded after September 11 in each country. Media focus on the Enron Corp. did not begin until the survey was completed in the USA.

    voxdash dataset logo
    Data project
    Data owner:

    OCED

    Geographies: Ecuador, Guatemala, Honduras·Topic: Students
    PISA for Development (Cognitive item data)

    The PISA (Programme for International Student Assessment) for Development programme aims to encourage and facilitate PISA participation by interested and motivated low- and middle-income countries. From this page you can download the PISA for Development dataset with the full set of responses from: In-school assessment: individual students, school principals and teachers Out-of-school assessment: individual respondents, parents/guardians of respondents and interviewer household observations These files will be of use to statisticians and professional researchers who would like to undertake their own analysis of the PISA for Development data. The files available on this page include questionnaires, codebooks, data files in SAS™ and SPSS™ formats, database compendia and tables including system-level data and descriptive analyses that were created to support the reporting of PISA for Development results by participating countries. The main data files for each assessment relate to: In-school assessment: student questionnaire (which also includes estimates of student performance), school questionnaire, teacher questionnaire and cognitive items Out-of-school assessment: respondent questionnaires (including youth, parent/guardian and household observation questionnaires, as well as estimates of respondent performance), cognitive items and questionnaire timing These files include data for participating countries: In-school assessment: Cambodia, Ecuador, Guatemala, Honduras, Paraguay, Senegal and Zambia Out-of-school assessment: Guatemala, Honduras, Panama, Paraguay and Senegal

    voxdash dataset logo
    Data project
    Data owner:

    University of Tennessee, Knoxville

    Geographies: United States·Topic: Institutional capabilities - Data
    Changes in data sharing and data reuse practices and perceptions among scientists worldwide

    The incorporation of data sharing into the research lifecycle is an important part of modern scholarly debate. In this study, the DataONE Usability and Assessment working group addresses two primary goals: To examine the current state of data sharing and reuse perceptions and practices among research scientists as they compare to the 2009/2010 baseline study, and to examine differences in practices and perceptions across age groups, geographic regions, and subject disciplines. We distributed surveys to a multinational sample of scientific researchers at two different time periods (October 2009 to July 2010 and October 2013 to March 2014) to observe current states of data sharing and to see what, if any, changes have occurred in the past 3–4 years. We also looked at differences across age, geographic, and discipline-based groups as they currently exist in the 2013/2014 survey. Results point to increased acceptance of and willingness to engage in data sharing, as well as an increase in actual data sharing behaviors. However, there is also increased perceived risk associated with data sharing, and specific barriers to data sharing persist. There are also differences across age groups, with younger respondents feeling more favorably toward data sharing and reuse, yet making less of their data available than older respondents. Geographic differences exist as well, which can in part be understood in terms of collectivist and individualist cultural differences. An examination of subject disciplines shows that the constraints and enablers of data sharing and reuse manifest differently across disciplines. Implications of these findings include the continued need to build infrastructure that promotes data sharing while recognizing the needs of different research communities. Moving into the future, organizations such as DataONE will continue to assess, monitor, educate, and provide the infrastructure necessary to support such complex grand science challenges.

    voxdash dataset logo
    Data project
    Data owner:

    Data Statistic (Mock)

    Geographies: Canada·Topic: Animal Research Data
    Stratos Geospatial Insights Lab (Mock)

    this is a test. Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.

    voxdash dataset logo
    Data project
    Data owner:

    World Value Survey

    Geographies: World·Topic: Social Sciences
    World Values Survey wave 6 - 2015

    The World Values Survey (www.worldvaluessurvey.org) is a global network of social scientists studying changing values and their impact on social and political life, led by an international team of scholars, with the WVS association and secretariat headquartered in Stockholm, Sweden. The survey, which started in 1981, seeks to use the most rigorous, high-quality research designs in each country. The WVS consists of nationally representative surveys conducted in almost 100 countries which contain almost 90 percent of the world’s population, using a common questionnaire. The WVS is the largest non-commercial, cross-national, time series investigation of human beliefs and values ever executed, currently including interviews with almost 400,000 respondents. Moreover the WVS is the only academic study covering the full range of global variations, from very poor to very rich countries, in all of the world’s major cultural zones. The WVS seeks to help scientists and policy makers understand changes in the beliefs, values and motivations of people throughout the world. Thousands of political scientists, sociologists, social psychologists, anthropologists and economists have used these data to analyze such topics as economic development, democratization, religion, gender equality, social capital, and subjective well-being. These data have also been widely used by government officials, journalists and students, and groups at the World Bank have analyzed the linkages between cultural factors and economic development.

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