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3,785

WorldNorth America

Guatemala

1 provinces · 23 other

Standard codes
ISO α2GT
ISO α3GTM
ISO num320
UN M.49320
GeoNames3595528
17,247,807population15.5000, -90.2500America/Guatemala(GMT-6)Independent political entity

Guatemala (Guatemala), Petén, Chimaltenango, Chiquimula, El Progreso, Escuintla, Guatemala, Izabal Department, Jalapa

Description

Alternative names

Afrikaans
Guatemala
Akan
Guwatemala
Albanian
Guatemala, Guatemalë
Amharic
ጉዋቲማላ

Subregions

Guatemala (Guatemala)

Guatemala (Guatemala)

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Petén

Petén

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Chimaltenango

Chimaltenango

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Guatemala (Guatemala)

Guatemala (Guatemala)

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Petén

Petén

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Chimaltenango

Chimaltenango

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Chiquimula

Chiquimula

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El Progreso

El Progreso

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Escuintla

Escuintla

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Guatemala

Guatemala

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Izabal Department

Izabal Department

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Jalapa

Jalapa

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Retalhuleu

Retalhuleu

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Sacatepéquez

Sacatepéquez

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Zacapa

Zacapa

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San Marcos

San Marcos

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Alta Verapaz

Alta Verapaz

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Baja Verapaz

Baja Verapaz

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Huehuetenango

Huehuetenango

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Jutiapa

Jutiapa

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Petén

Petén

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Quetzaltenango

Quetzaltenango

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Quiché

Quiché

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Santa Rosa Department

Santa Rosa Department

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Sololá

Sololá

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Suchitepeque

Suchitepeque

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Totonicapán

Totonicapán

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Data in VoxDash
    voxdash dataset logo
    Data project
    Data owner:

    OCED

    Geographies: Ecuador, Guatemala, Honduras·Topic: Students
    PISA 2022 (School questionnaire data )

    The main data files include: the student-questionnaire data file (which also includes estimates of student performance and parent-questionnaire data), the school-questionnaire data file, the teacher-questionnaire data file, the cognitive item data file and a file with questionnaire timing data. Given the unprecedented situation caused by the COVID-19 pandemic, PISA 2022 data files include data from all participating education systems, including those where there were issues such as low response rates (see more details in PISA 2022 Results Volume I Reader’s Guide). PISA will return to the standard ways of releasing the international data files, i.e. only include data fully met the adjudication criteria, for the 2025 assessment. Some of these files are large. The time it takes to download the larger files, and how successfully the files download, will depend on your local Internet connection and other technical factors.

    voxdash dataset logo
    Data project
    Data owner:

    OCED

    Geographies: Ecuador, Guatemala, Honduras·Topic: Students
    PISA 2022 (Teacher questionnaire data)

    The main data files include: the student-questionnaire data file (which also includes estimates of student performance and parent-questionnaire data), the school-questionnaire data file, the teacher-questionnaire data file, the cognitive item data file and a file with questionnaire timing data. Given the unprecedented situation caused by the COVID-19 pandemic, PISA 2022 data files include data from all participating education systems, including those where there were issues such as low response rates (see more details in PISA 2022 Results Volume I Reader’s Guide). PISA will return to the standard ways of releasing the international data files, i.e. only include data fully met the adjudication criteria, for the 2025 assessment. Some of these files are large. The time it takes to download the larger files, and how successfully the files download, will depend on your local Internet connection and other technical factors.

    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:

    OCED

    Geographies: Ecuador, Guatemala, Honduras·Topic: Students
    PISA 2018 (School questionnaire data )

    The main data files will include: the student-questionnaire data file (which also includes estimates of student performance and parent-questionnaire data), the school-questionnaire data file, the teacher-questionnaire data file, the cognitive item data file and a file with questionnaire timing data. These files include countries/economies/subregions that fully met adjudication criteria.

    voxdash dataset logo
    Data project
    Data owner:

    OCED

    Geographies: Ecuador, Guatemala, Honduras·Topic: Students
    PISA 2018 (Teacher questionnaire data)

    The main data files will include: the student-questionnaire data file (which also includes estimates of student performance and parent-questionnaire data), the school-questionnaire data file, the teacher-questionnaire data file, the cognitive item data file and a file with questionnaire timing data. These files include countries/economies/subregions that fully met adjudication criteria.

    voxdash dataset logo
    Data project
    Data owner:

    OCED

    Geographies: Ecuador, Guatemala, Honduras·Topic: Students
    PISA 2015 (School questionnaire data )

    There are five main data files: the student-questionnaire data file (which also includes estimates of student performance and parent-questionnaire data), the school-questionnaire data file, the teacher-questionnaire data file, the cognitive item data file and a file with questionnaire timing data. These files include countries/economies/subregions that fully met adjudication criteria. An additional data file contains the data for countries with adjudication issues (see note on additional data files below for a list of countries with adjudication issues).

    voxdash dataset logo
    Data project
    Data owner:

    OCED

    Geographies: Ecuador, Guatemala, Honduras·Topic: Students
    PISA 2015 (Teacher questionnaire data)

    There are five main data files: the student-questionnaire data file (which also includes estimates of student performance and parent-questionnaire data), the school-questionnaire data file, the teacher-questionnaire data file, the cognitive item data file and a file with questionnaire timing data. These files include countries/economies/subregions that fully met adjudication criteria. An additional data file contains the data for countries with adjudication issues (see note on additional data files below for a list of countries with adjudication issues).

    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.

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