100+ datasets found
  1. m

    Survey on fertility in the Southeast of Vietnam in 2020

    • data.mendeley.com
    Updated Jul 25, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Vinh Nguyen (2022). Survey on fertility in the Southeast of Vietnam in 2020 [Dataset]. http://doi.org/10.17632/pwkyycdtm4.1
    Explore at:
    Dataset updated
    Jul 25, 2022
    Authors
    Vinh Nguyen
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Vietnam
    Description

    The dataset is a part of the survey conducted in Ho Chi Minh City and Dong Nai the Southeast region of Vietnam in 2020 to collect information for research on fertility. The main research purpose is to identify the socioeconomic determinants of low fertility in the Southeast. In total 808 individuals in the main reproductive age were interviewed, including 382 cases from Dong Nai and 426 cases from Ho Chi Minh City, or 273 unmarried persons and 535 married women. Information about family size desires and socio-demographic characteristics of 535 married men were asked when interviewing their spouses. As such, the survey collected information on the family size desires of 1343 individuals. The dataset has been converted to SPSS format (version 26.0). For data analysis, the dataset need to be weighted (WEI variable) as individuals were not selected with equal probability.

  2. Population Dynamics of Arctic Alaska A graphical library of demographic...

    • figshare.com
    pdf
    Updated Jan 19, 2016
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Lawrence Hamilton; Richard Lammers; Stanley Glidden; Kei Saito; Sustainable Futures North (2016). Population Dynamics of Arctic Alaska A graphical library of demographic change in 43 towns and villages, 1990–2013 [Dataset]. http://doi.org/10.6084/m9.figshare.1044226.v1
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jan 19, 2016
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Lawrence Hamilton; Richard Lammers; Stanley Glidden; Kei Saito; Sustainable Futures North
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Arctic Alaska, Alaska
    Description

    Provides data visualizations for demographic change over the last 25 years in 43 Alaska villages

  3. Data from: Invisible Structures of Segregation in the Metropolitan Region of...

    • search.datacite.org
    Updated Mar 24, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Ernesto Friedrich De Lima Amaral; Camilo Vladimir De Lima Amaral (2021). Invisible Structures of Segregation in the Metropolitan Region of Goiânia [Dataset]. http://doi.org/10.6084/m9.figshare.11313119
    Explore at:
    Dataset updated
    Mar 24, 2021
    Dataset provided by
    DataCitehttps://www.datacite.org/
    SciELO journals
    Authors
    Ernesto Friedrich De Lima Amaral; Camilo Vladimir De Lima Amaral
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Abstract This article aims to research the invisible structure of segregation of the Metropolitan Region of Goiânia (RMG), through the interrelations among processes of urban space production, urban planning principles, and population dynamics. These interrelations are fundamental to understanding the structure of socioeconomic inequalities in metropolitan areas. We analyzed the process of formation of segregation structure in the region, addressing the various urban plans developed for Goiânia. We provide a brief analysis of population indicators based on Demographic Census data from 1950 to 2010 and local indicators of spatial association in 2010 to characterize different dynamics in the region. We developed a critical analysis of these aspects, in order to identify and illustrate the main characteristics of the formation of this region in a summary diagram. We discussed how this overall spatial structure contributes to the reproduction of segregated social relations. Main results indicate that RMG does not have a simple centrality or a multi-centrality. There are a series of concentric rings with different types of centralities, which function in an integrated – but not inclusive – segregation system. We also identify research topics of social, demographic, and economic dynamics that would improve our understanding of spatial formation and urban planning in this region.

  4. f

    Number of countries or areas and percentage of population covered in the...

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Cheryl Chriss Sawyer (2023). Number of countries or areas and percentage of population covered in the study. [Dataset]. http://doi.org/10.1371/journal.pmed.1001287.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS Medicine
    Authors
    Cheryl Chriss Sawyer
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Number of countries or areas and percentage of population covered in the study.

  5. Data from: Changes and Continuities in the Spatial Incorporation of Peruvian...

    • search.datacite.org
    • scielo.figshare.com
    Updated Mar 26, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Pablo Sebastián Gómez; David Sanchez Soria (2021). Changes and Continuities in the Spatial Incorporation of Peruvian Migrants in the city of Cordoba, Argentina [Dataset]. http://doi.org/10.6084/m9.figshare.7509104.v1
    Explore at:
    Dataset updated
    Mar 26, 2021
    Dataset provided by
    DataCitehttps://www.datacite.org/
    SciELO journals
    Authors
    Pablo Sebastián Gómez; David Sanchez Soria
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Abstract Debates on the incorporation of migrants in receiving societies is a controversial issue in academic research. In this paper we focus our attention on the spatial dimension in the analysis of the patterns of incorporation of Peruvian migrants in the city of Cordoba in the period of 2001-2010. First, we analyze patterns of spatial segregation of the native population and the Peruvian population in the city. Second, considering the clustered/scattered cleavage, we analyze the sociodemographic characteristics of clustered and dispersed peruvians in the city. We suggest the interaction of two processes of spatial incorporation: a) there are specific patterns of location of Peruvian migrants in the city of Cordoba. The native population with higher education levels, in turn, tends to settle in the center and northwest part of the city. The central areas were the stable places where the Peruvians are located, however, in recent years there has been a changing pattern with new places of settlement; b) we identify structural differences between clustered and dispersed Peruvians.

  6. Spatial Demography Column 2 Data and Code

    • figshare.com
    txt
    Updated May 31, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Corey Sparks (2023). Spatial Demography Column 2 Data and Code [Dataset]. http://doi.org/10.6084/m9.figshare.809581.v1
    Explore at:
    txtAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Corey Sparks
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    THese are extracts from American Factfinder 2, and are the data for the column in the Spatial Demography Journal

  7. o

    Code and data for: An integrative framework to combine migratory...

    • explore.openaire.eu
    • zenodo.org
    Updated Jan 1, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Killian A. Gregory (2024). Code and data for: An integrative framework to combine migratory connectivity and demographic data [Dataset]. http://doi.org/10.5281/zenodo.14245332
    Explore at:
    Dataset updated
    Jan 1, 2024
    Authors
    Killian A. Gregory
    Description

    This folder contains all the material necessary to reproduce the workflow of the research article: "An integrative framework to combine migratory connectivity and demographic data": "data": processed demographic and migration data for the Eurasian curlew "R": codes to simulate data, run the models on the simulated data and the curlew data, and plot the figures "output": outputs of the models used in the article "figures": figures and numbers reported in the article and in the supporting information

  8. Data from: Housing policies and urban occupations: dissent in the city

    • search.datacite.org
    • scielo.figshare.com
    Updated Mar 27, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Denise Morado Nascimento (2021). Housing policies and urban occupations: dissent in the city [Dataset]. http://doi.org/10.6084/m9.figshare.7515518.v1
    Explore at:
    Dataset updated
    Mar 27, 2021
    Dataset provided by
    DataCitehttps://www.datacite.org/
    SciELO journals
    Authors
    Denise Morado Nascimento
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Abstract The article deals with the daily struggle for access to the right to housing and the city. Aligned with the theoretical debate, we have the urban occupations in contrast with the Minha Casa Minha Vida Program in the city of Belo Horizonte (Southeastern Brazil), within an urban crisis aggravated by: (1) the intensification of the peripheral pattern of cities; (2) the fact that the real estate capital is linked to the financial capital; (3) the political immobility in carrying out the urban reform; (4) the imposition of the private condominium property; (5) the inefficiency of the judiciary; (6) the State-capital association; (7) strategically built discourses, which are not propositional. The goal is to intertwine theoretical dimensions (Jacques Rancière, Aristotle, Marx and Chantal Mouffe) with the possibilities of redistribution of decision-making processes around the city.

  9. Woning- en Gezinstelling 1947 - Limburg

    • commons.datacite.org
    • ssh.datastations.nl
    • +1more
    Updated 2013
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Centraal Bureau Voor De Statistiek (CBS) (2013). Woning- en Gezinstelling 1947 - Limburg [Dataset]. http://doi.org/10.17026/dans-27g-8evb
    Explore at:
    Dataset updated
    2013
    Dataset provided by
    DataCitehttps://www.datacite.org/
    Data Archiving and Networked Services (DANS)
    Authors
    Centraal Bureau Voor De Statistiek (CBS)
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Dit deel betreft de bestanden van de provincie Limburg. De bestanden zijn ingedeeld per gemeente. De metadata per bestand (details) bevat het tabelnummer. Het bestand 'tabelnamen' geeft een overzicht van de tabelnummers met de bijbehorende tabelnamen. Dit bestand is beschikbaar gesteld als PDF document en als CSV tekstbestand.

  10. o

    Tracking Selection using Temporal Population Genomics Data

    • explore.openaire.eu
    Updated Mar 12, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Vitor Pavinato; Stéphane de Mita; Julie M. Julie M. Cridland; Miguel de Navascués (2021). Tracking Selection using Temporal Population Genomics Data [Dataset]. http://doi.org/10.5281/zenodo.4599735
    Explore at:
    Dataset updated
    Mar 12, 2021
    Authors
    Vitor Pavinato; Stéphane de Mita; Julie M. Julie M. Cridland; Miguel de Navascués
    Description

    This repository contains the implementation of a pipeline to run the simulations and to produce a reference table for the ABC-RF inference of demography and selection. In its new release, this repository contains the whole-genome polymorphism of contemporary and museum specimens of Apis mellifera feral populations analyzed by Cridland et al. (2018).

  11. Regulation inside out? An analysis about the urban regulation instituted in...

    • search.datacite.org
    • scielo.figshare.com
    Updated Mar 27, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Sidney Piochi Bernardini (2021). Regulation inside out? An analysis about the urban regulation instituted in the municipalities of the Campinas Metropolitan Region between 1970 and 2006 [Dataset]. http://doi.org/10.6084/m9.figshare.7513409.v1
    Explore at:
    Dataset updated
    Mar 27, 2021
    Dataset provided by
    DataCitehttps://www.datacite.org/
    SciELO journals
    Authors
    Sidney Piochi Bernardini
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Abstract This article intends to discuss the universe of urban regulation normative tools implemented in 19 municipalities of the Campinas Metropolitan Region between 1970 and 2006. Two issues will be discussed here: the limits of municipal autonomy in the management of land use and occupation and the limits of its norms in promoting an urban development that benefits the society as a whole. The substrata, conditionings and forces (legal forces included) that have boosted transformations in the scope of the process still constitute a gap in the large field of investigations about the urbanization model of the Campinas Metropolitan Region. The results showed that these municipalities instituted 3,057 urban regulation tools in the period, and 85% of them were promulgated to promote specific modifications in the municipalities.

  12. Dataset of Global Religious Composition Estimates for 2010 and 2020

    • pewresearch.org
    Updated 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Conrad Hackett; Marcin Stonawski; Yunping Tong; Stephanie Kramer; Anne Fengyan Shi (2025). Dataset of Global Religious Composition Estimates for 2010 and 2020 [Dataset]. http://doi.org/10.58094/vhrw-k516
    Explore at:
    Dataset updated
    2025
    Dataset provided by
    Pew Research Centerhttp://pewresearch.org/
    datacite
    Authors
    Conrad Hackett; Marcin Stonawski; Yunping Tong; Stephanie Kramer; Anne Fengyan Shi
    License

    https://www.pewresearch.org/about/terms-and-conditions/https://www.pewresearch.org/about/terms-and-conditions/

    Dataset funded by
    Pew Charitable Trusts
    John Templeton Foundation
    Description

    This dataset describes the world’s religious makeup in 2020 and 2010. We focus on seven categories: Christians, Muslims, Hindus, Buddhists, Jews, people who belong to other religions, and those who are religiously unaffiliated. This analysis is based on more than 2,700 sources of data, including national censuses, large-scale demographic surveys, general population surveys and population registers. For more information about this data, see the associated Pew Research Center report "How the Global Religious Landscape Changed From 2010 to 2020."

  13. f

    Data from: Average salary

    • froghire.ai
    Updated Apr 3, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    FrogHire.ai (2025). Average salary [Dataset]. https://www.froghire.ai/major/Demography%20And%20Sociology
    Explore at:
    Dataset updated
    Apr 3, 2025
    Dataset provided by
    FrogHire.ai
    Description

    Explore the progression of average salaries for graduates in Demography And Sociology from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Demography And Sociology relative to other fields. This data is essential for students assessing the return on investment of their education in Demography And Sociology, providing a clear picture of financial prospects post-graduation.

  14. H

    China Family Panel Studies (2012) Follow-up Survey

    • dataverse.harvard.edu
    Updated Dec 14, 2017
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Institute of Social Science Survey, Peking University (2017). China Family Panel Studies (2012) Follow-up Survey [Dataset]. http://doi.org/10.7910/DVN/WLCDYJ
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 14, 2017
    Dataset provided by
    Harvard Dataverse
    Authors
    Institute of Social Science Survey, Peking University
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    The CFPS baseline survey in 2010 consists of five basic datasets: community, family roster, family, adults, and children. In 2012, the CFPS carried out the first full-scale follow up survey, which targeted all 14,960 families, and 57,155 members from the 2010 family roster, who were considered CFPS gene members. In addition, individuals newly born to the 57,155 gene members would also be considered the CFPS gene members, while individuals newly married to the existing CFPS gene members would be considered the CFPS core members. By design, gene members are followed regardless of their relationships with their original families, whereas core members are followed as long as they maintain their family relations with gene members. The 2012 questionnaires share similar structures to those in 2010, although some specific contents have been modified. For example, no community dataset is available in the 2012 wave since the community survey is scheduled to be carried out in every other wave. A cross-wave individual-level dataset file has been added, listing all the individuals who ever participated in the CFPS, as well as their vital records, survey participation status, respondent type, and family ID in each wave.

  15. m

    Prevalence of Sexual Predation, Institutional Camouflage and Knowledge...

    • data.mendeley.com
    Updated May 1, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Isaiah David (2025). Prevalence of Sexual Predation, Institutional Camouflage and Knowledge Building in Ibadan Metropolis, Nigeria [Dataset]. http://doi.org/10.17632/t7p98wghkx.1
    Explore at:
    Dataset updated
    May 1, 2025
    Authors
    Isaiah David
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Ibadan, Nigeria
    Description

    This study examined the prevalence of sexual predation and institutional knowledge-building in educational institutions in Ibadan Metropolis, Nigeria. It was guided by the hypothesis that socio-demographic factors such as age, gender, income level, and institutional type significantly influence the likelihood of experiencing sexual predation, and that institutional response affects reporting behaviours and knowledge awareness.

    A cross-sectional survey design was used. The study area included schools across Ibadan Metropolis selected due to growing concern over sexual misconduct in schools and weak institutional mechanisms for protection and accountability. A total of 415 students participated in the study. Respondents were selected using purposive and convenience sampling to ensure representation sociodemographics. Participants were internet users capable of completing Google Forms, which was used to administer the questionnaire.

    The structured questionnaire gathered data on participants’ socio-demographic characteristics, personal or witnessed experiences with sexual predation, reporting behaviours, and perceptions of institutional responses. Questions were designed to capture the frequency, types, perpetrators, and locations of incidents. Likert-scale items were included to assess the perceived adequacy of institutional response and support systems.

    Data were analysed using SPSS version 27. Descriptive statistics (frequencies and percentages) were used to summarize demographic characteristics and prevalence rates. Binary logistic regression was employed to determine which socio-demographic factors significantly predicted the likelihood of experiencing sexual predation. Odds ratios with 95% confidence intervals were calculated, and all tests were conducted at a significance level of p < 0.05.

    Findings showed that sexual predation is a serious and underreported problem within the study area. Female students were significantly more likely than male students to report experiencing sexual predation. Perpetrators were often older students, teachers, or non-academic staff. Incidents frequently occurred in classrooms, dormitories, offices, and isolated campus areas. Many students chose not to report due to fear, shame, or mistrust of institutional support systems. Perceptions of institutional response were largely negative, with many participants indicating that schools either ignored reports or failed to take action.

    The data confirm the research hypothesis and suggest that vulnerability is shaped by both individual and institutional factors. Poor reporting culture and institutional silence allow predation to persist. The findings call for stronger prevention and reporting mechanisms, capacity building among staff, and student empowerment strategies.

    This study provides evidence to inform school policies, awareness campaigns, and legislative interventions that protect students and promote safer learning environments in Nigerian schools.

  16. d

    Wave 48, August 2013

    • search.dataone.org
    • borealisdata.ca
    Updated Dec 28, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Ipsos (2023). Wave 48, August 2013 [Dataset]. http://doi.org/10.5683/SP2/LT3YH6
    Explore at:
    Dataset updated
    Dec 28, 2023
    Dataset provided by
    Borealis
    Authors
    Ipsos
    Time period covered
    Aug 1, 2013
    Description

    Ipsos Global @dvisor wave 43 was conducted on August 8 and 20, 2013. It included the following question sections: A: Demographic Profile, B: Consumer Confidence, R: Small Business/Executive Decision Makers Demo, EU: Healthcare Study, HA: Socialogue.

  17. f

    'Dataset1' - Who Tweets with Their Location? Understanding the Relationship...

    • figshare.com
    zip
    Updated Jan 20, 2016
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Luke Sloan (2016). 'Dataset1' - Who Tweets with Their Location? Understanding the Relationship Between Demographic Characteristics and the Use of Geoservices and Geotagging on Twitter [Dataset]. http://doi.org/10.6084/m9.figshare.1572291.v2
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jan 20, 2016
    Dataset provided by
    figshare
    Authors
    Luke Sloan
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Data associated with the paper: Who Tweets with Their Location? Understanding the Relationship Between Demographic Characteristics and the Use of Geoservices and Geotagging on Twitter Luke Sloan & Jeffrey Morgan

  18. u

    Bushman Demography 1963-1973, Demography of the Dobe !Kung - Botswana

    • datafirst.uct.ac.za
    Updated Jul 21, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Nancy Howell (2020). Bushman Demography 1963-1973, Demography of the Dobe !Kung - Botswana [Dataset]. https://www.datafirst.uct.ac.za/dataportal/index.php/catalog/448
    Explore at:
    Dataset updated
    Jul 21, 2020
    Dataset authored and provided by
    Nancy Howell
    Time period covered
    1963 - 1973
    Area covered
    Botswana
    Description

    Abstract

    The survey was conducted in 1963-1973 by Nancy Howell of the Department of Sociology, University of Toronto. The study collected demographic data from the Bushmen of the Kalahari Deselt of Botswana, including fertility, mortality, and marriage patterns of the famous !Kung hunter-gatherers.

    Geographic coverage

    Botswana, Dobe

    Analysis unit

    Individuals

    Kind of data

    Sample survey data

    Mode of data collection

    Face-to-face [f2f]

  19. Teams

    • search.datacite.org
    • figshare.com
    Updated Oct 28, 2019
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Luca Pappalardo; Emanuele Massucco (2019). Teams [Dataset]. http://doi.org/10.6084/m9.figshare.7765310.v3
    Explore at:
    Dataset updated
    Oct 28, 2019
    Dataset provided by
    figshare
    DataCitehttps://www.datacite.org/
    Figsharehttp://figshare.com/
    Authors
    Luca Pappalardo; Emanuele Massucco
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    If you use these data cite the following paper:

    - Pappalardo et al., (2019) A public data set of spatio-temporal match events in soccer competitions, Nature Scientific Data 6:236, https://www.nature.com/articles/s41597-019-0247-7

    This dataset describes all the soccer teams in seven prominent soccer competitions (Italian, Spanish, German, French and English first divisions, World Cup 2018, European Cup 2016). It consists of the following fields:
    - city: the city where the team is located. For national teams it is the capital of the country;
    - name: the common name of the team;
    - area: information about the geographic area associated with the team;
    - wyId: the identifier of the team, assigned by Wyscout;
    - officialName: the official name of the team (e.g., Juventus FC);
    - type: the type of the team. It is "club" for teams in the competitions for clubs and "national" for the teams in international competitions;

  20. f

    Data from: Average salary

    • froghire.ai
    Updated Apr 3, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    FrogHire.ai (2025). Average salary [Dataset]. https://www.froghire.ai/major/Sociology%2C%20Demography%20And%20Applied%20Statistics
    Explore at:
    Dataset updated
    Apr 3, 2025
    Dataset provided by
    FrogHire.ai
    Description

    Explore the progression of average salaries for graduates in Sociology, Demography And Applied Statistics from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Sociology, Demography And Applied Statistics relative to other fields. This data is essential for students assessing the return on investment of their education in Sociology, Demography And Applied Statistics, providing a clear picture of financial prospects post-graduation.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Vinh Nguyen (2022). Survey on fertility in the Southeast of Vietnam in 2020 [Dataset]. http://doi.org/10.17632/pwkyycdtm4.1

Survey on fertility in the Southeast of Vietnam in 2020

Explore at:
Dataset updated
Jul 25, 2022
Authors
Vinh Nguyen
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Area covered
Vietnam
Description

The dataset is a part of the survey conducted in Ho Chi Minh City and Dong Nai the Southeast region of Vietnam in 2020 to collect information for research on fertility. The main research purpose is to identify the socioeconomic determinants of low fertility in the Southeast. In total 808 individuals in the main reproductive age were interviewed, including 382 cases from Dong Nai and 426 cases from Ho Chi Minh City, or 273 unmarried persons and 535 married women. Information about family size desires and socio-demographic characteristics of 535 married men were asked when interviewing their spouses. As such, the survey collected information on the family size desires of 1343 individuals. The dataset has been converted to SPSS format (version 26.0). For data analysis, the dataset need to be weighted (WEI variable) as individuals were not selected with equal probability.

Search
Clear search
Close search
Google apps
Main menu