56 datasets found
  1. F

    Population, Total: All Income Levels for Middle East and North Africa

    • fred.stlouisfed.org
    json
    Updated Dec 17, 2024
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    (2024). Population, Total: All Income Levels for Middle East and North Africa [Dataset]. https://fred.stlouisfed.org/series/SPPOPTOTLMEA
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    jsonAvailable download formats
    Dataset updated
    Dec 17, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Middle East and North Africa, North Africa, Middle East
    Description

    Graph and download economic data for Population, Total: All Income Levels for Middle East and North Africa (SPPOPTOTLMEA) from 1960 to 2023 about North Africa, Middle East, income, and population.

  2. F

    Population Ages 15 to 64: All Income Levels for Middle East and North Africa...

    • fred.stlouisfed.org
    json
    Updated Jan 28, 2025
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    (2025). Population Ages 15 to 64: All Income Levels for Middle East and North Africa [Dataset]. https://fred.stlouisfed.org/series/SPPOP1564TOZSMEA
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    jsonAvailable download formats
    Dataset updated
    Jan 28, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Middle East and North Africa, North Africa, Middle East
    Description

    Graph and download economic data for Population Ages 15 to 64: All Income Levels for Middle East and North Africa (SPPOP1564TOZSMEA) from 1960 to 2023 about North Africa, Middle East, 15 to 64 years, income, and population.

  3. S

    Estimated Resident Population at 30 June 2018 by Territorial Authority and...

    • datafinder.stats.govt.nz
    • catalogue.data.govt.nz
    csv, dwg, geodatabase +6
    Updated Jun 30, 2018
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    Estimated Resident Population at 30 June 2018 by Territorial Authority and Auckland Local Boards [Dataset]. https://datafinder.stats.govt.nz/layer/105009-estimated-resident-population-at-30-june-2018-by-territorial-authority-and-auckland-local-boards/
    Explore at:
    mapinfo tab, kml, geodatabase, mapinfo mif, geopackage / sqlite, csv, shapefile, dwg, pdfAvailable download formats
    Dataset updated
    Jun 30, 2018
    Dataset provided by
    Statistics New Zealandhttp://www.stats.govt.nz/
    Authors
    Stats NZ
    License

    https://datafinder.stats.govt.nz/license/attribution-4-0-international/https://datafinder.stats.govt.nz/license/attribution-4-0-international/

    Area covered
    Te Ika-a-Māui / North Island, Manakau, Oceania
    Description

    This dataset contains information on:

    · Estimated resident population (ERP) at 30 June 1996, 2001, 2006, 2013, and 2018 for total population

    · ERP at 30 June 2018 by ethnic groups (European or Other (including New Zealander), Māori, Pacific, Asian, and Middle Eastern/Latin American/African) – estimates and percentage

    · Sex ratio – number of males per 100 females

    · ERP at 30 June 2018 by broad age groups and median age

    · Geographies available are regional council areas, territorial authority and Auckland local board areas, Statistical Area 2, and urban rural.

    Note: The geography corresponds to 2020 boundaries

    Note: -999 indicates data are not available.

    About the estimated resident population

    The estimated resident population at 30 June in the census year is based on the census usually resident population count, with updates for:

    · net census undercount (as measured by a post-enumeration survey)

    · residents temporarily overseas on census night

    · births, deaths and net migration between census night and 30 June

    · reconciliation with demographic estimates at the youngest ages.

    The estimated resident population is not directly comparable with the census usually resident population count because of these adjustments.

    For more detailed information about the methods used to calculate each base population, see DataInfo+ Demographic estimates.

    Ethnic groups

    It is important to note that these ethnic groups are not mutually exclusive because people can and do identify with more than one ethnicity. People who identify with more than one ethnicity have been included in each ethnic group.

    The 'Māori', 'Pacific', 'Asian' and 'Middle Eastern/Latin American/African' ethnic groups are defined in level 1 of the Ethnicity New Zealand Standard Classification 2005. The estimates for the 'European or Other (including New Zealander)' group include people who belong to the 'European' or 'Other ethnicity' groups defined in level 1 of the standard classification. If a person belongs to both the 'European' and 'Other ethnicity' groups they have only been counted once. Almost all people in the 'Other ethnicity' group belong to the 'New Zealander' sub-group.

    Time series

    This time series is irregular. Because the 2011 Census was cancelled after the Canterbury earthquake on 22 February 2011, the gap between the 2006-base and 2013-base estimated resident population is seven years. The change in data between 2006 and 2013 may be greater than in the usual five-year gap between censuses. Be careful when comparing trends.

    Rounding

    Individual figures may not sum to stated totals due to rounding.

    More information

    See Estimated resident population (2018-base): At 30 June 2018 for commentary about the 2018 ERP.

    Subnational population estimates concepts – DataInfo+ provides definitions of terms used in the map.

    Access more population estimates data in NZ.Stat:

    Theme: Population estimates.

  4. Distribution of the global population by continent 2024

    • statista.com
    Updated Jan 23, 2025
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    Statista (2025). Distribution of the global population by continent 2024 [Dataset]. https://www.statista.com/statistics/237584/distribution-of-the-world-population-by-continent/
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    Dataset updated
    Jan 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    World
    Description

    In the middle of 2023, about 60 percent of the global population was living in Asia.The total world population amounted to 8.1 billion people on the planet. In other words 4.7 billion people were living in Asia as of 2023. Global populationDue to medical advances, better living conditions and the increase of agricultural productivity, the world population increased rapidly over the past century, and is expected to continue to grow. After reaching eight billion in 2023, the global population is estimated to pass 10 billion by 2060. Africa expected to drive population increase Most of the future population increase is expected to happen in Africa. The countries with the highest population growth rate in 2024 were mostly African countries. While around 1.47 billion people live on the continent as of 2024, this is forecast to grow to 3.9 billion by 2100. This is underlined by the fact that most of the countries wit the highest population growth rate are found in Africa. The growing population, in combination with climate change, puts increasing pressure on the world's resources.

  5. V

    Loudoun County 2020 Census Population Patterns by Race and Hispanic or...

    • data.virginia.gov
    • datasets.ai
    • +1more
    Updated Jan 27, 2023
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    Loudoun County (2023). Loudoun County 2020 Census Population Patterns by Race and Hispanic or Latino Ethnicity [Dataset]. https://data.virginia.gov/dataset/loudoun-county-2020-census-population-patterns-by-race-and-hispanic-or-latino-ethnicity
    Explore at:
    arcgis geoservices rest api, htmlAvailable download formats
    Dataset updated
    Jan 27, 2023
    Dataset provided by
    Loudoun County GIS
    Authors
    Loudoun County
    Area covered
    Loudoun County
    Description

    Use this application to view the pattern of concentrations of people by race and Hispanic or Latino ethnicity. Data are provided at the U.S. Census block group level, one of the smallest Census geographies, to provide a detailed picture of these patterns. The data is sourced from the U.S Census Bureau, 2020 Census Redistricting Data (Public Law 94-171) Summary File.


    Definitions: Definitions of the Census Bureau’s categories are provided below. This interactive map shows patterns for all categories except American Indian or Alaska Native and Native Hawaiian or Other Pacific Islander. The total population countywide for these two categories is small (1,582 and 263 respectively). The Census Bureau uses the following race categories:

    Population by Race

    White – A person having origins in any of the original peoples of Europe, the Middle East, or North Africa.

    Black or African American – A person having origins in any of the Black racial groups of Africa.

    American Indian or Alaska Native – A person having origins in any of the original peoples of North and South America (including Central America) and who maintains tribal affiliation or community attachment.

    Asian – A person having origins in any of the original peoples of the Far East, Southeast Asia, or the Indian subcontinent including, for example, Cambodia, China, India, Japan, Korea, Malaysia, Pakistan, the Philippine Islands, Thailand, and Vietnam.

    Native Hawaiian or Other Pacific Islander – A person having origins in any of the original peoples of Hawaii, Guam, Samoa, or other Pacific Islands.

    Some Other Race - this category is chosen by people who do not identify with any of the categories listed above.

    People can identify with more than one race. These people are included in the Two or More Races

    Hispanic or Latino Population
    The Hispanic/Latino population is an ethnic group. Hispanic/Latino people may be of any race.


    Other layers provided in this tool included the Loudoun County Census block groups, towns and Dulles airport, and the Loudoun County 2021 aerial imagery.

  6. Alaska White population

    • knoema.com
    csv, json, sdmx, xls
    Updated Dec 20, 2021
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    Knoema (2021). Alaska White population [Dataset]. https://knoema.com/atlas/United-States-of-America/Alaska/White-population
    Explore at:
    csv, json, sdmx, xlsAvailable download formats
    Dataset updated
    Dec 20, 2021
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2010 - 2019
    Area covered
    United States
    Variables measured
    White population
    Description

    White population of Alaska declined by 0.78% from 481,239 number in 2018 to 477,488 number in 2019. Since the 0.39% growth in 2013, white population went down by 3.50% in 2019. According to U.S. Office of Management and Budget (OMB), “White” refers to a person having origins in any of the original peoples of Europe, the Middle East, or North Africa. The White racial category includes people who marked the “White” checkbox. It also includes respondents who reported entries such as Caucasian or White; European entries, such as Irish, German, and Polish; Middle Eastern entries, such as Arab, Lebanese, and Palestinian; and North African entries, such as Algerian, Moroccan, and Egyptian.

  7. H

    Survey for Young People in Egypt (SYPE)

    • dataverse.harvard.edu
    • dataone.org
    • +1more
    Updated Mar 24, 2023
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    Survey for Young People in Egypt (SYPE) [Dataset]. https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/89Y8YC
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 24, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Population Council
    License

    https://dataverse.harvard.edu/api/datasets/:persistentId/versions/3.2/customlicense?persistentId=doi:10.7910/DVN/89Y8YChttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/3.2/customlicense?persistentId=doi:10.7910/DVN/89Y8YC

    Area covered
    Egypt
    Description

    Survey of Young People in Egypt (SYPE) is a nationally representative sample of young people in the Middle East and North Africa. The 2009 survey included 15,000 young people between the ages of 10 and 29 from 11,000 households. The 2014 survey follows more than 10,000 original respondents. Gender-disaggregated information on health, schooling, employment, and civic engagement is available.

  8. b

    Percent of Residents - White/Caucasian (Non-Hispanic) - Community...

    • data.baltimorecity.gov
    • hub.arcgis.com
    • +2more
    Updated Feb 27, 2020
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    Baltimore Neighborhood Indicators Alliance (2020). Percent of Residents - White/Caucasian (Non-Hispanic) - Community Statistical Area [Dataset]. https://data.baltimorecity.gov/datasets/bniajfi::percent-of-residents-white-caucasian-non-hispanic-community-statistical-area-1
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    Dataset updated
    Feb 27, 2020
    Dataset authored and provided by
    Baltimore Neighborhood Indicators Alliance
    Area covered
    Description

    The total number of persons that identify themselves as being racially White (and ethnically non-Hispanic) out of the total number of persons living in an area. "White" refers to a person having origins in any of the original peoples of Europe, the Middle East, or North Africa. It includes people who indicated their race(s) as "White". Source: U.S. Census Bureau, American Community Survey Years Available: 2010, 2011-2015, 2012-2016, 2013-2017, 2014-2018, 2015-2019, 2020, 2017-2021, 2018-2022

  9. F

    Middle Eastern Facial Timeline Dataset | Facial Images from Past

    • futurebeeai.com
    wav
    Updated Aug 1, 2022
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    FutureBee AI (2022). Middle Eastern Facial Timeline Dataset | Facial Images from Past [Dataset]. https://www.futurebeeai.com/dataset/image-dataset/facial-images-historical-middle-eastern
    Explore at:
    wavAvailable download formats
    Dataset updated
    Aug 1, 2022
    Dataset provided by
    FutureBeeAI
    Authors
    FutureBee AI
    License

    https://www.futurebeeai.com/data-license-agreementhttps://www.futurebeeai.com/data-license-agreement

    Dataset funded by
    FutureBeeAI
    Description

    Introduction

    Welcome to the Middle Eastern Facial Images from Past Dataset, meticulously curated to enhance face recognition models and support the development of advanced biometric identification systems, KYC models, and other facial recognition technologies.

    Facial Image Data

    This dataset comprises over 5,000+ images, divided into participant-wise sets with each set including:

    Historical Images: 22 different high-quality historical images per individual from the timeline of 10 years.
    Enrollment Image: One modern high-quality image for reference.

    Diversity and Representation

    The dataset includes contributions from a diverse network of individuals across Middle Eastern countries:

    Geographical Representation: Participants from countries including Egypt, Jordan, Suadi Arabia, UAE, Tunisia, and more.
    Demographics: Participants range from 18 to 70 years old, representing both males and females in 60:40 ratio, respectively.
    File Format: The dataset contains images in JPEG and HEIC file format.

    Quality and Conditions

    To ensure high utility and robustness, all images are captured under varying conditions:

    Lighting Conditions: Images are taken in different lighting environments to ensure variability and realism.
    Backgrounds: A variety of backgrounds are available to enhance model generalization.
    Device Quality: Photos are taken using the latest mobile devices to ensure high resolution and clarity.

    Metadata

    Each image set is accompanied by detailed metadata for each participant, including:

    Participant Identifier
    File Name
    Age at the time of capture
    Gender
    Country
    Demographic Information
    File Format

    This metadata is essential for training models that can accurately recognize and identify Middle Eastern faces across different demographics and conditions.

    Usage and Applications

    This facial image dataset is ideal for various applications in the field of computer vision, including but not limited to:

    Facial Recognition Models: Improving the accuracy and reliability of facial recognition systems.
    KYC Models: Streamlining the identity verification processes for financial and other services.
    Biometric Identity Systems: Developing robust biometric identification solutions.
    Age Prediction Models: Training models to accurately predict the age of individuals based on facial features.
    Generative AI Models: Training generative AI models to create realistic and diverse synthetic facial images.

    Secure and Ethical Collection

    Data Security: Data was securely stored and processed within our platform, ensuring data security and confidentiality.
    Ethical Guidelines: The biometric data collection process adhered to strict ethical guidelines, ensuring the privacy and consent of all participants.
    Participant Consent: All participants were informed of the purpose of collection and potential use of the data, as agreed through written consent.
    <h3

  10. A

    Algeria Length of Stay: Overnight: Non Residents: Asia: Middle East:...

    • ceicdata.com
    Updated Jun 15, 2019
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    CEICdata.com (2019). Algeria Length of Stay: Overnight: Non Residents: Asia: Middle East: Palestine [Dataset]. https://www.ceicdata.com/en/algeria/length-of-stay-overnight-by-country/length-of-stay-overnight-non-residents-asia-middle-east-palestine
    Explore at:
    Dataset updated
    Jun 15, 2019
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Algeria
    Variables measured
    Tourism Statistics
    Description

    Algeria Length of Stay: Overnight: Non Residents: Asia: Middle East: Palestine data was reported at 9,428.000 Night in 2016. This records an increase from the previous number of 7,545.000 Night for 2015. Algeria Length of Stay: Overnight: Non Residents: Asia: Middle East: Palestine data is updated yearly, averaging 935.000 Night from Dec 2003 (Median) to 2016, with 14 observations. The data reached an all-time high of 9,428.000 Night in 2016 and a record low of 335.000 Night in 2004. Algeria Length of Stay: Overnight: Non Residents: Asia: Middle East: Palestine data remains active status in CEIC and is reported by Ministry of Tourism and Handicraft. The data is categorized under Global Database’s Algeria – Table DZ.Q006: Length of Stay: Overnight: by Country.

  11. District of Columbia White population

    • knoema.com
    • jp.knoema.com
    • +1more
    csv, json, sdmx, xls
    Updated Dec 20, 2021
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    Knoema (2021). District of Columbia White population [Dataset]. https://knoema.com/atlas/United-States-of-America/District-of-Columbia/White-population
    Explore at:
    csv, json, xls, sdmxAvailable download formats
    Dataset updated
    Dec 20, 2021
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2014 - 2019
    Area covered
    Washington, United States
    Variables measured
    White population
    Description

    324,581 (number) in 2019. According to U.S. Office of Management and Budget (OMB), “White” refers to a person having origins in any of the original peoples of Europe, the Middle East, or North Africa. The White racial category includes people who marked the “White” checkbox. It also includes respondents who reported entries such as Caucasian or White; European entries, such as Irish, German, and Polish; Middle Eastern entries, such as Arab, Lebanese, and Palestinian; and North African entries, such as Algerian, Moroccan, and Egyptian.

  12. A

    Algeria Length of Stay: Overnight: Non Residents: Asia: Middle East: Egypt

    • ceicdata.com
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    CEICdata.com, Algeria Length of Stay: Overnight: Non Residents: Asia: Middle East: Egypt [Dataset]. https://www.ceicdata.com/en/algeria/length-of-stay-overnight-by-country/length-of-stay-overnight-non-residents-asia-middle-east-egypt
    Explore at:
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Algeria
    Variables measured
    Tourism Statistics
    Description

    Algeria Length of Stay: Overnight: Non Residents: Asia: Middle East: Egypt data was reported at 27,406.000 Night in 2016. This records an increase from the previous number of 21,752.000 Night for 2015. Algeria Length of Stay: Overnight: Non Residents: Asia: Middle East: Egypt data is updated yearly, averaging 22,219.000 Night from Dec 2003 (Median) to 2016, with 14 observations. The data reached an all-time high of 40,594.000 Night in 2013 and a record low of 4,024.000 Night in 2003. Algeria Length of Stay: Overnight: Non Residents: Asia: Middle East: Egypt data remains active status in CEIC and is reported by Ministry of Tourism and Handicraft. The data is categorized under Global Database’s Algeria – Table DZ.Q006: Length of Stay: Overnight: by Country.

  13. N

    New Zealand Working Age Population: Middle Eastern, Latin American & African...

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). New Zealand Working Age Population: Middle Eastern, Latin American & African (MELAA) [Dataset]. https://www.ceicdata.com/en/new-zealand/household-labour-force-survey-working-age-population/working-age-population-middle-eastern-latin-american--african-melaa
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Mar 1, 2022 - Dec 1, 2024
    Area covered
    New Zealand
    Variables measured
    Working Age Population
    Description

    New Zealand Working Age Population: Middle Eastern, Latin American & African (MELAA) data was reported at 68.700 Person th in Dec 2024. This records a decrease from the previous number of 73.600 Person th for Sep 2024. New Zealand Working Age Population: Middle Eastern, Latin American & African (MELAA) data is updated quarterly, averaging 39.600 Person th from Dec 2007 (Median) to Dec 2024, with 69 observations. The data reached an all-time high of 73.600 Person th in Sep 2024 and a record low of 26.500 Person th in Dec 2012. New Zealand Working Age Population: Middle Eastern, Latin American & African (MELAA) data remains active status in CEIC and is reported by Statistics New Zealand. The data is categorized under Global Database’s New Zealand – Table NZ.G045: Household Labour Force Survey: Working Age Population.

  14. d

    Armed Conflict Location & Event Data Project - Realtime Data

    • datarade.ai
    Updated May 28, 2021
    + more versions
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    ACLED Data (2021). Armed Conflict Location & Event Data Project - Realtime Data [Dataset]. https://datarade.ai/data-products/acled-armed-conflict-location-and-event-dataset-realtime-data-acled-data
    Explore at:
    .json, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    May 28, 2021
    Dataset authored and provided by
    ACLED Data
    Area covered
    Iraq, Guernsey, Guyana, Saint Kitts and Nevis, Sierra Leone, Afghanistan, Sint Maarten (Dutch part), United Kingdom, Tanzania, Spain
    Description

    Political violence affects two billion citizens across the world. The consequences are stark: since 2005, additional mortality from armed conflict is close to two million (PSR, 2015); development progress is reversed (World Bank, 2011); and there are high economic costs borne by affected states (Brück et al, 2013). Conflict contributes to political decline, high corruption and poverty, poor social cohesion, and low institutional trust. It likewise exacerbates existing global threats, such as border insecurity, the proliferation of weapons of mass destruction, and the spread of extremist ideologies and terrorism. While the consequences of conflict are known, objective, timely, high-quality data are necessary to understand the extent of these effects across high risk and unstable contexts.

    ACLED is an event-based data project designed for disaggregated conflict analysis and crisis mapping. Data are updated weekly and can be downloaded using the Data Export Tool or the API.

    ACLED collects the dates, actors, locations, fatalities, and types of all reported political violence and protest events across Africa, the Middle East, Latin America & the Caribbean, East Asia, South Asia, Southeast Asia, Central Asia & the Caucasus, Europe, and the United States.

    For further information about ACLED's data, please see the codebook at: https://acleddata.com/acleddatanew/wp-content/uploads/dlm_uploads/2019/01/ACLED_Codebook_2019FINAL.docx.pdf

    For a full description of ACLED's geographic coverage, please see: https://acleddata.com/acleddatanew/wp-content/uploads/dlm_uploads/2019/01/ACLED_Country-and-Time-Period-Coverage_updFeb2021.pdf

  15. S

    2023 Census population change by ethnic group and regional council

    • datafinder.stats.govt.nz
    csv, dwg, geodatabase +6
    + more versions
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    Stats NZ, 2023 Census population change by ethnic group and regional council [Dataset]. https://datafinder.stats.govt.nz/layer/117643-2023-census-population-change-by-ethnic-group-and-regional-council/
    Explore at:
    mapinfo tab, geodatabase, mapinfo mif, kml, geopackage / sqlite, csv, shapefile, dwg, pdfAvailable download formats
    Dataset provided by
    Statistics New Zealandhttp://www.stats.govt.nz/
    Authors
    Stats NZ
    License

    https://datafinder.stats.govt.nz/license/attribution-4-0-international/https://datafinder.stats.govt.nz/license/attribution-4-0-international/

    Area covered
    Te Ika-a-Māui / North Island, Oceania
    Description

    Dataset contains ethnic group census usually resident population counts from the 2013, 2018, and 2023 Censuses, as well as the percentage change in the ethnic group population count between the 2013 and 2018 Censuses, and between the 2018 and 2023 Censuses. Data is available by regional council.

    The ethnic groups are:

    • European
    • Māori
    • Pacific peoples
    • Asian
    • Middle Eastern/Latin American/African
    • Other ethnicity.

    Map shows percentage change in the census usually resident population count for ethnic groups between the 2018 and 2023 Censuses.

    Download lookup file from Stats NZ ArcGIS Online or embedded attachment in Stats NZ geographic data service. Download data table (excluding the geometry column for CSV files) using the instructions in the Koordinates help guide.

    Footnotes

    Geographical boundaries

    Statistical standard for geographic areas 2023 (updated December 2023) has information about geographic boundaries as of 1 January 2023. Address data from 2013 and 2018 Censuses was updated to be consistent with the 2023 areas. Due to the changes in area boundaries and coding methodologies, 2013 and 2018 counts published in 2023 may be slightly different to those published in 2013 or 2018.

    Subnational census usually resident population

    The census usually resident population count of an area (subnational count) is a count of all people who usually live in that area and were present in New Zealand on census night. It excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city and is visiting Wellington city on census night will be included in the census usually resident population count of Christchurch city.

    Caution using time series

    Time series data should be interpreted with care due to changes in census methodology and differences in response rates between censuses. The 2023 and 2018 Censuses used a combined census methodology (using census responses and administrative data), while the 2013 Census used a full-field enumeration methodology (with no use of administrative data).

    About the 2023 Census dataset

    For information on the 2023 dataset see Using a combined census model for the 2023 Census. We combined data from the census forms with administrative data to create the 2023 Census dataset, which meets Stats NZ's quality criteria for population structure information. We added real data about real people to the dataset where we were confident the people who hadn’t completed a census form (which is known as admin enumeration) will be counted. We also used data from the 2018 and 2013 Censuses, administrative data sources, and statistical imputation methods to fill in some missing characteristics of people and dwellings.

    Data quality

    The quality of data in the 2023 Census is assessed using the quality rating scale and the quality assurance framework to determine whether data is fit for purpose and suitable for release. Data quality assurance in the 2023 Census has more information.

    Quality rating of a variable

    The quality rating of a variable provides an overall evaluation of data quality for that variable, usually at the highest levels of classification. The quality ratings shown are for the 2023 Census unless stated. There is variability in the quality of data at smaller geographies. Data quality may also vary between censuses, for subpopulations, or when cross tabulated with other variables or at lower levels of the classification. Data quality ratings for 2023 Census variables has more information on quality ratings by variable.

    Ethnicity concept quality rating

    Ethnicity is rated as high quality.

    Ethnicity – 2023 Census: Information by concept has more information, for example, definitions and data quality.

    Using data for good

    Stats NZ expects that, when working with census data, it is done so with a positive purpose, as outlined in the Māori Data Governance Model (Data Iwi Leaders Group, 2023). This model states that "data should support transformative outcomes and should uplift and strengthen our relationships with each other and with our environments. The avoidance of harm is the minimum expectation for data use. Māori data should also contribute to iwi and hapū tino rangatiratanga”.

    Confidentiality

    The 2023 Census confidentiality rules have been applied to 2013, 2018, and 2023 data. These rules protect the confidentiality of individuals, families, households, dwellings, and undertakings in 2023 Census data. Counts are calculated using fixed random rounding to base 3 (FRR3) and suppression of ‘sensitive’ counts less than six, where tables report multiple geographic variables and/or small populations. Individual figures may not always sum to stated totals. Applying confidentiality rules to 2023 Census data and summary of changes since 2018 and 2013 Censuses has more information about 2023 Census confidentiality rules.

    Symbol

    -998 Not applicable

    Percentages

    To calculate percentages, divide the figure for the category of interest by the figure for ‘Total stated’ where this applies.

  16. A

    Algeria Length of Stay: Overnight: Non Residents: Asia: Middle East: Iraq

    • ceicdata.com
    Updated Jun 15, 2019
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    CEICdata.com (2017). Algeria Length of Stay: Overnight: Non Residents: Asia: Middle East: Iraq [Dataset]. https://www.ceicdata.com/en/algeria/length-of-stay-overnight-by-country/length-of-stay-overnight-non-residents-asia-middle-east-iraq
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    Dataset updated
    Jun 15, 2019
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Algeria
    Variables measured
    Tourism Statistics
    Description

    Algeria Length of Stay: Overnight: Non Residents: Asia: Middle East: Iraq data was reported at 3,406.000 Night in 2016. This records an increase from the previous number of 2,681.000 Night for 2015. Algeria Length of Stay: Overnight: Non Residents: Asia: Middle East: Iraq data is updated yearly, averaging 475.500 Night from Dec 2003 (Median) to 2016, with 14 observations. The data reached an all-time high of 3,406.000 Night in 2016 and a record low of 191.000 Night in 2004. Algeria Length of Stay: Overnight: Non Residents: Asia: Middle East: Iraq data remains active status in CEIC and is reported by Ministry of Tourism and Handicraft. The data is categorized under Global Database’s Algeria – Table DZ.Q006: Length of Stay: Overnight: by Country.

  17. Gallup World Poll 2013, June - Afghanistan, Angola, Albania...and 183 more

    • catalog.ihsn.org
    • datacatalog.ihsn.org
    Updated Jun 14, 2022
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    Gallup, Inc. (2022). Gallup World Poll 2013, June - Afghanistan, Angola, Albania...and 183 more [Dataset]. https://catalog.ihsn.org/catalog/8494
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    Dataset updated
    Jun 14, 2022
    Dataset authored and provided by
    Gallup, Inc.http://gallup.com/
    Time period covered
    2005 - 2012
    Area covered
    Afghanistan, Angola, Albania
    Description

    Abstract

    Gallup Worldwide Research continually surveys residents in more than 150 countries, representing more than 98% of the world's adult population, using randomly selected, nationally representative samples. Gallup typically surveys 1,000 individuals in each country, using a standard set of core questions that has been translated into the major languages of the respective country. In some regions, supplemental questions are asked in addition to core questions. Face-to-face interviews are approximately 1 hour, while telephone interviews are about 30 minutes. In many countries, the survey is conducted once per year, and fieldwork is generally completed in two to four weeks. The Country Dataset Details spreadsheet displays each country's sample size, month/year of the data collection, mode of interviewing, languages employed, design effect, margin of error, and details about sample coverage.

    Gallup is entirely responsible for the management, design, and control of Gallup Worldwide Research. For the past 70 years, Gallup has been committed to the principle that accurately collecting and disseminating the opinions and aspirations of people around the globe is vital to understanding our world. Gallup's mission is to provide information in an objective, reliable, and scientifically grounded manner. Gallup is not associated with any political orientation, party, or advocacy group and does not accept partisan entities as clients. Any individual, institution, or governmental agency may access the Gallup Worldwide Research regardless of nationality. The identities of clients and all surveyed respondents will remain confidential.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    SAMPLING AND DATA COLLECTION METHODOLOGY With some exceptions, all samples are probability based and nationally representative of the resident population aged 15 and older. The coverage area is the entire country including rural areas, and the sampling frame represents the entire civilian, non-institutionalized, aged 15 and older population of the entire country. Exceptions include areas where the safety of interviewing staff is threatened, scarcely populated islands in some countries, and areas that interviewers can reach only by foot, animal, or small boat.

    Telephone surveys are used in countries where telephone coverage represents at least 80% of the population or is the customary survey methodology (see the Country Dataset Details for detailed information for each country). In Central and Eastern Europe, as well as in the developing world, including much of Latin America, the former Soviet Union countries, nearly all of Asia, the Middle East, and Africa, an area frame design is used for face-to-face interviewing.

    The typical Gallup Worldwide Research survey includes at least 1,000 surveys of individuals. In some countries, oversamples are collected in major cities or areas of special interest. Additionally, in some large countries, such as China and Russia, sample sizes of at least 2,000 are collected. Although rare, in some instances the sample size is between 500 and 1,000. See the Country Dataset Details for detailed information for each country.

    FACE-TO-FACE SURVEY DESIGN

    FIRST STAGE In countries where face-to-face surveys are conducted, the first stage of sampling is the identification of 100 to 135 ultimate clusters (Sampling Units), consisting of clusters of households. Sampling units are stratified by population size and or geography and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size, otherwise simple random sampling is used. Samples are drawn independent of any samples drawn for surveys conducted in previous years.

    There are two methods for sample stratification:

    METHOD 1: The sample is stratified into 100 to 125 ultimate clusters drawn proportional to the national population, using the following strata: 1) Areas with population of at least 1 million 2) Areas 500,000-999,999 3) Areas 100,000-499,999 4) Areas 50,000-99,999 5) Areas 10,000-49,999 6) Areas with less than 10,000

    The strata could include additional stratum to reflect populations that exceed 1 million as well as areas with populations less than 10,000. Worldwide Research Methodology and Codebook Copyright © 2008-2012 Gallup, Inc. All rights reserved. 8

    METHOD 2:

    A multi-stage design is used. The country is first stratified by large geographic units, and then by smaller units within geography. A minimum of 33 Primary Sampling Units (PSUs), which are first stage sampling units, are selected. The sample design results in 100 to 125 ultimate clusters.

    SECOND STAGE

    Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. To increase the probability of contact and completion, attempts are made at different times of the day, and where possible, on different days. If an interviewer cannot obtain an interview at the initial sampled household, he or she uses a simple substitution method. Refer to Appendix C for a more in-depth description of random route procedures.

    THIRD STAGE

    Respondents are randomly selected within the selected households. Interviewers list all eligible household members and their ages or birthdays. The respondent is selected by means of the Kish grid (refer to Appendix C) in countries where face-to-face interviewing is used. The interview does not inform the person who answers the door of the selection criteria until after the respondent has been identified. In a few Middle East and Asian countries where cultural restrictions dictate gender matching, respondents are randomly selected using the Kish grid from among all eligible adults of the matching gender.

    TELEPHONE SURVEY DESIGN

    In countries where telephone interviewing is employed, random-digit-dial (RDD) or a nationally representative list of phone numbers is used. In select countries where cell phone penetration is high, a dual sampling frame is used. Random respondent selection is achieved by using either the latest birthday or Kish grid method. At least three attempts are made to reach a person in each household, spread over different days and times of day. Appointments for callbacks that fall within the survey data collection period are made.

    PANEL SURVEY DESIGN

    Prior to 2009, United States data were collected using The Gallup Panel. The Gallup Panel is a probability-based, nationally representative panel, for which all members are recruited via random-digit-dial methodology and is only used in the United States. Participants who elect to join the panel are committing to the completion of two to three surveys per month, with the typical survey lasting 10 to 15 minutes. The Gallup Worldwide Research panel survey is conducted over the telephone and takes approximately 30 minutes. No incentives are given to panel participants. Worldwide Research Methodology and Codebook Copyright © 2008-2012 Gallup, Inc. All rights reserved. 9

    Research instrument

    QUESTION DESIGN

    Many of the Worldwide Research questions are items that Gallup has used for years. When developing additional questions, Gallup employed its worldwide network of research and political scientists1 to better understand key issues with regard to question development and construction and data gathering. Hundreds of items were developed, tested, piloted, and finalized. The best questions were retained for the core questionnaire and organized into indexes. Most items have a simple dichotomous ("yes or no") response set to minimize contamination of data because of cultural differences in response styles and to facilitate cross-cultural comparisons.

    The Gallup Worldwide Research measures key indicators such as Law and Order, Food and Shelter, Job Creation, Migration, Financial Wellbeing, Personal Health, Civic Engagement, and Evaluative Wellbeing and demonstrates their correlations with world development indicators such as GDP and Brain Gain. These indicators assist leaders in understanding the broad context of national interests and establishing organization-specific correlations between leading indexes and lagging economic outcomes.

    Gallup organizes its core group of indicators into the Gallup World Path. The Path is an organizational conceptualization of the seven indexes and is not to be construed as a causal model. The individual indexes have many properties of a strong theoretical framework. A more in-depth description of the questions and Gallup indexes is included in the indexes section of this document. In addition to World Path indexes, Gallup Worldwide Research questions also measure opinions about national institutions, corruption, youth development, community basics, diversity, optimism, communications, religiosity, and numerous other topics. For many regions of the world, additional questions that are specific to that region or country are included in surveys. Region-specific questions have been developed for predominantly Muslim nations, former Soviet Union countries, the Balkans, sub-Saharan Africa, Latin America, China and India, South Asia, and Israel and the Palestinian Territories.

    The questionnaire is translated into the major conversational languages of each country. The translation process starts with an English, French, or Spanish version, depending on the region. One of two translation methods may be used.

    METHOD 1: Two independent translations are completed. An independent third party, with some knowledge of survey research methods, adjudicates the differences. A professional translator translates the final version back into the source language.

    METHOD 2: A translator

  18. d

    2023 Census interim coverage and composition by territorial authority local...

    • catalogue.data.govt.nz
    + more versions
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    2023 Census interim coverage and composition by territorial authority local board - Dataset - data.govt.nz - discover and use data [Dataset]. https://catalogue.data.govt.nz/dataset/2023-census-interim-coverage-and-composition-by-territorial-authority-local-board
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    License

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

    Area covered
    New Zealand
    Description

    See story map for coverage and composition rates. Download lookup file from Stats NZ map hub or Stats NZ geographic data service. ​ Interim coverage rates Coverage rates use dual system estimation (DSE) benchmarks as the denominator to calculate interim coverage rates. Dataset contains interim coverage rates for the usually resident population and for people of Māori descent, and for Māori, Pacific, and Asian ethnic groups. Composition rates Dataset contains composition rates (data sources used to count the census usually resident population) for the usually resident population and for each of the six ethnic groups (European; Māori; Pacific; Asian; Middle Eastern, Latin American, and African (MELAA); and Other). Data sources used to count the census usually resident population: Proportion individual response – census individual forms received. Proportion partial response – partial census form responses (from the paper dwelling form or online household set-up form but where an individual form for the person was not received). Proportion admin enumeration – the use of admin data to add people to the usually resident census population when a census response was not received. ​ Footnotes Geographical boundaries Statistical standard for geographic areas 2023 (updated December 2023) has information about geographic boundaries as of 1 January 2023.

  19. A

    Algeria Length of Stay: Overnight: Non Residents: Asia: Middle East: Lebanon...

    • ceicdata.com
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    CEICdata.com, Algeria Length of Stay: Overnight: Non Residents: Asia: Middle East: Lebanon [Dataset]. https://www.ceicdata.com/en/algeria/length-of-stay-overnight-by-country/length-of-stay-overnight-non-residents-asia-middle-east-lebanon
    Explore at:
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Algeria
    Variables measured
    Tourism Statistics
    Description

    Algeria Length of Stay: Overnight: Non Residents: Asia: Middle East: Lebanon data was reported at 8,380.000 Night in 2016. This records an increase from the previous number of 7,038.000 Night for 2015. Algeria Length of Stay: Overnight: Non Residents: Asia: Middle East: Lebanon data is updated yearly, averaging 2,998.000 Night from Dec 2003 (Median) to 2016, with 14 observations. The data reached an all-time high of 8,380.000 Night in 2016 and a record low of 358.000 Night in 2003. Algeria Length of Stay: Overnight: Non Residents: Asia: Middle East: Lebanon data remains active status in CEIC and is reported by Ministry of Tourism and Handicraft. The data is categorized under Global Database’s Algeria – Table DZ.Q006: Length of Stay: Overnight: by Country.

  20. A

    Algeria Length of Stay: Overnight: Non Residents: Asia: Middle East: Jordan

    • ceicdata.com
    Updated Jun 15, 2019
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    Algeria Length of Stay: Overnight: Non Residents: Asia: Middle East: Jordan [Dataset]. https://www.ceicdata.com/en/algeria/length-of-stay-overnight-by-country/length-of-stay-overnight-non-residents-asia-middle-east-jordan
    Explore at:
    Dataset updated
    Jun 15, 2019
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Algeria
    Variables measured
    Tourism Statistics
    Description

    Algeria Length of Stay: Overnight: Non Residents: Asia: Middle East: Jordan data was reported at 8,961.000 Night in 2016. This records an increase from the previous number of 7,714.000 Night for 2015. Algeria Length of Stay: Overnight: Non Residents: Asia: Middle East: Jordan data is updated yearly, averaging 1,209.000 Night from Dec 2003 (Median) to 2016, with 14 observations. The data reached an all-time high of 8,961.000 Night in 2016 and a record low of 538.000 Night in 2003. Algeria Length of Stay: Overnight: Non Residents: Asia: Middle East: Jordan data remains active status in CEIC and is reported by Ministry of Tourism and Handicraft. The data is categorized under Global Database’s Algeria – Table DZ.Q006: Length of Stay: Overnight: by Country.

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(2024). Population, Total: All Income Levels for Middle East and North Africa [Dataset]. https://fred.stlouisfed.org/series/SPPOPTOTLMEA

Population, Total: All Income Levels for Middle East and North Africa

SPPOPTOTLMEA

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jsonAvailable download formats
Dataset updated
Dec 17, 2024
License

https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

Area covered
Middle East and North Africa, North Africa, Middle East
Description

Graph and download economic data for Population, Total: All Income Levels for Middle East and North Africa (SPPOPTOTLMEA) from 1960 to 2023 about North Africa, Middle East, income, and population.

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