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2,176

WorldAsia

Vietnam

32 provinces · 60 cities · 56 other

Standard codes
ISO α2VN
ISO α3VNM
ISO num704
UN M.49704
GeoNames1562822
95,540,395population16.1667, 107.8333Independent political entity

Dak Nong, Quang Binh, Quang Nam, Phu Yen, Ha Giang, Hoa Binh, Vinh Phuc, Binh Phuoc, Ha Nam

Description

Alternative names

Afrikaans
Viëtnam
Akan
Viɛtnam
Albanian
Vietnam, Vietnami
Amharic
ቬትናም

Subregions

Dak Nong

Dak Nong

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Quang Binh

Quang Binh

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Quang Nam

Quang Nam

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Dak Nong

Dak Nong

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Quang Binh

Quang Binh

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Quang Nam

Quang Nam

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Phu Yen

Phu Yen

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Ha Giang

Ha Giang

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Hoa Binh

Hoa Binh

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Vinh Phuc

Vinh Phuc

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Binh Phuoc

Binh Phuoc

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Ha Nam

Ha Nam

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Da Nang

Da Nang

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Ho Chi Minh

Ho Chi Minh

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Kon Tum

Kon Tum

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Can Tho

Can Tho

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Hai Duong

Hai Duong

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Binh Dinh

Binh Dinh

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Nam Dinh

Nam Dinh

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Ninh Thuan

Ninh Thuan

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Soc Trang

Soc Trang

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Thai Binh

Thai Binh

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Tra Vinh

Tra Vinh

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Bac Lieu

Bac Lieu

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Binh Thuan

Binh Thuan

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Ba Ria - Vung Tau

Ba Ria - Vung Tau

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Kien Giang

Kien Giang

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Bac Kan

Bac Kan

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Binh Duong

Binh Duong

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Bac Giang

Bac Giang

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Ben Tre

Ben Tre

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Tien Giang

Tien Giang

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Yen Bai

Yen Bai

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Hau Giang

Hau Giang

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Bình Phước

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Long An

Long An

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Dak Lak

Dak Lak

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Lam Dong

Lam Dong

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An Giang

An Giang

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Bac Ninh

Bac Ninh

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Phu Tho

Phu Tho

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Hai Phong

Hai Phong

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Hưng Yên Province

Hưng Yên Province

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Thừa Thiên Huế Province

Thừa Thiên Huế Province

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Da Nang City

Da Nang City

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Quang Ngai

Quang Ngai

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Gia Lai

Gia Lai

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Khanh Hoa

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Khánh Hòa

Khánh Hòa

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Hà Nam

Hà Nam

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Phú Yên

Phú Yên

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Quàng Nam

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Kiên Giang

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Bà Rịa - Vũng Tàu

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Bình Thuận

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Hồ Chí Minh City

Hồ Chí Minh City

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Đồng Bằng Sông Hồng

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Lâm Đồng

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Bình Định

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Đông Nam Bộ

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Đồng Tháp

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Hải Phòng

Hải Phòng

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Quảng Bình

Quảng Bình

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Đắk Nông

Đắk Nông

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Thừa Thiên - Huế

Thừa Thiên - Huế

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Đà Nẵng

Đà Nẵng

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Điện Biên

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Đông Bắc

Đông Bắc

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Bình Dương

Bình Dương

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Hà Tĩnh Province

Hà Tĩnh Province

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Dong Nai

Dong Nai

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Cao Bằng Province

Cao Bằng Province

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Tuyen Quang

Tuyen Quang

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Điện Biên Province

Điện Biên Province

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Sơn La Province

Sơn La Province

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Thai Nguyen

Thai Nguyen

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Thanh Hóa Province

Thanh Hóa Province

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Nghệ An Province

Nghệ An Province

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Ho Chi Minh City (HCMC)

Ho Chi Minh City (HCMC)

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Tay Ninh

Tay Ninh

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Dong Thap

Dong Thap

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Vinh Long

Vinh Long

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Ca Mau

Ca Mau

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Xã Long Hải

Xã Long Hải

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Vĩnh Châu

Vĩnh Châu

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Sóc Trăng

Sóc Trăng

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Hải Châu

Hải Châu

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Gò Vấp

Gò Vấp

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Củ Chi

Củ Chi

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Cần Giờ

Cần Giờ

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Bà Nà

Bà Nà

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Bình Thạnh

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Núi Thành

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Ấp Một

Ấp Một

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Da Nang (city seat)

Da Nang (city seat)

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Thủ Đức

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Tân Bình

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Tam Kỳ

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Nhà Bè

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Thị Trấn Phước Bửu

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Thị Trấn Đất Đỏ

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Chợ Lớn

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Bến Cát

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An Hải

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Sơn Trà

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Ngã Bảy

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Quận Bốn

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Ô Môn

Ô Môn

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Phong Điền (1570864)

Phong Điền (1570864)

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Lạng Sơn Province

Lạng Sơn Province

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Quảng Ninh

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Quang Tri

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Can Tho City

Can Tho City

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Hanoi

Hanoi

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Lai Châu Province

Lai Châu Province

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Lao Cai

Lao Cai

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Ninh Binh

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Quận Đức Thịnh

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Thuận An

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Ngã Năm

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Vị Thanh

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Thốt Nốt

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Thị Trấn Ngải Giao

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Long Mỹ

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Hoi An

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Đại Lộc

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Bình Thủy

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Ấp Bình Châu

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Thành Phố Bà Rịa

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Hòa Cường

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Vĩnh Thạnh

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Quận Mười

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Quận Ba

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Ho Chi Minh City

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Xóm Mỹ Xuân

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Vũng Tàu

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Thủ Dầu Một

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Thới Lai

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Phú Mỹ

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Điện Bàn

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Dĩ An

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Cờ Đỏ

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Tân Uyên

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Thanh Khê

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Cẩm Lệ

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Quận Sáu

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Quận Năm

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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

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    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:

    Pew Research Center

    Geographies: Taiwan, Hong Kong, Indonesia·Topic: Institutional capabilities - Public Opinion Research
    East Asian Societies Survey Dataset

    This Pew Research Center survey asked 10,390 adults across Hong Kong, Japan, South Korea, Taiwan and Vietnam about religious identify, beliefs and practices. The survey was conducted face-to-face in Vietnam and with phone interviews elsewhere. Interviews were administered from June to September 2023, in seven languages.

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    Data project
    Data owner:

    Pew Research Center

    Geographies: Taiwan, Hong Kong, Indonesia·Topic: Institutional capabilities - Public Opinion Research
    South and Southeast Asia Survey Dataset

    This Pew Research Center survey asked 13,122 adults across six countries in South and Southeast Asia about religious identify, beliefs and practices. The survey was conducted face-to-face in four countries and on mobile phones in two countries. Interviews were administered from June to September 2022, in eight languages.

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    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.

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