18 datasets found
  1. P

    Population of Haitian Ancestry - 2017

    • data.pompanobeachfl.gov
    Updated Mar 3, 2022
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    External Datasets (2022). Population of Haitian Ancestry - 2017 [Dataset]. https://data.pompanobeachfl.gov/dataset/population-of-haitian-ancestry-2017
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    html, arcgis geoservices rest apiAvailable download formats
    Dataset updated
    Mar 3, 2022
    Dataset provided by
    cjennings_BCGIS
    Authors
    External Datasets
    Description

    The layer was derived and compiled from the U.S. Census Bureau’s 2013 – 2017 American Community Survey (ACS) 5-Year Estimates in order to assist 2020 Census planning purposes.

    Source: U.S. Census Bureau, Table B04006 PEOPLE REPORTING ANCESTRY, 2013 – 2017 ACS 5-Year Estimates

    Effective Date: December 2018

    Last Update: December 2019

    Update Cycle: ACS 5-Year Estimates update annually each December. Vintage used for 2020 Census planning purposes by Broward County.

  2. i

    Grant Giving Statistics for Haitian American Community Organization Inc. C O...

    • instrumentl.com
    Updated Jul 7, 2021
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    (2021). Grant Giving Statistics for Haitian American Community Organization Inc. C O Robert J Anch [Dataset]. https://www.instrumentl.com/990-report/haitian-american-community-organization-inc-c-o-robert-j-anch
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    Dataset updated
    Jul 7, 2021
    Area covered
    United States
    Description

    Financial overview and grant giving statistics of Haitian American Community Organization Inc. C O Robert J Anch

  3. C

    The most common surnames among Haitians: discover which names predominate in...

    • surnam.es
    html
    Updated Jul 2, 2025
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    (2025). The most common surnames among Haitians: discover which names predominate in Haiti [Dataset]. https://surnam.es/haiti
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    htmlAvailable download formats
    Dataset updated
    Jul 2, 2025
    License

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

    Time period covered
    2025
    Area covered
    Haiti
    Variables measured
    Ranking, Frecuencia
    Description

    Introduction Haiti, a country rich in culture and history, presents an ethnic diversity that is reflected in Haitian surnames. Over the years, the Haitian population has inherited and adapted a wide variety of surnames, many of which have roots in African, French and Taíno traditions. In this article, we will explore the most common Haitian surnames, highlighting their origin and meaning, as well as their relevance to Haitian identity. Knowing these surnames is essential to understand the rich cultural heritage of a people that, despite the challenges, continues to celebrate its uniqueness and its roots. Join us on this journey through the Haitian surnames that are part of the history and daily life of Haitians!

  4. f

    Multivariate linear regression models for cup-to-disc ratio and intraocular...

    • plos.figshare.com
    xls
    Updated Jun 8, 2023
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    Christine L. Bokman; Louis R. Pasquale; Richard K. Parrish II; Richard K. Lee (2023). Multivariate linear regression models for cup-to-disc ratio and intraocular pressure outcomes (n = 750). [Dataset]. http://doi.org/10.1371/journal.pone.0115942.t004
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    xlsAvailable download formats
    Dataset updated
    Jun 8, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Christine L. Bokman; Louis R. Pasquale; Richard K. Parrish II; Richard K. Lee
    License

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

    Description

    CDR = cup-to-disc ratio; IOP = intraocular pressure; N.A. = not applicable; CCT = central corneal thickness.aModel Performance: R2 0.33 with 578 degrees of freedom. Model was adjusted for age, sex, insurance status, diabetes, hypertension, CCT, and IOP.bModel Performance: R2 0.34 with 578 degrees of freedom. Model was adjusted for age, sex, insurance status, diabetes, hypertension, CCT, and CDR.Multivariate linear regression models for cup-to-disc ratio and intraocular pressure outcomes (n = 750).

  5. 2020 Decennial Census of Island Areas: DP1 | GENERAL DEMOGRAPHIC...

    • data.census.gov
    Updated Aug 6, 2024
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    DEC (2024). 2020 Decennial Census of Island Areas: DP1 | GENERAL DEMOGRAPHIC CHARACTERISTICS (DECIA U.S. Virgin Islands Demographic Profile) [Dataset]. https://data.census.gov/all/tables?q=GENERAL%20BASEMENT%20WATERPROOFING
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    Dataset updated
    Aug 6, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    DEC
    License

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

    Time period covered
    2020
    Description

    Note: For information on data collection, confidentiality protection, nonsampling error, and definitions, see the 2020 Island Areas Censuses Technical Documentation..Due to COVID-19 restrictions impacting data collection for the 2020 Census of the U.S. Virgin Islands, data tables reporting social and economic characteristics do not include the group quarters population in the table universe. As a result, impacted 2020 data tables should not be compared to 2010 and other past census data tables reporting the same characteristics. The Census Bureau advises data users to verify table universes are the same before comparing data across census years. For more information about data collection limitations and the impacts on the U.S. Virgin Islands' data products, see the 2020 Island Areas Censuses Technical Documentation..[1] People who reported multiple responses may be counted in more than one of the race alone or in combination categories. For example, a respondent reporting Anguillan and White is counted in both the "Black or African American alone or in combination" category and the "White alone or in combination" category. These categories may add to more than the total population..[2] "Black or African American alone or in combination" includes respondents who reported a Black or African American group alone (e.g., Haitian), multiple Black or African American groups (e.g., Haitian and Dominica Islander), as well as respondents who reported one Black or African American group and one or more other groups classified as another race (e.g., Haitian and German)..[3] "White alone or in combination" includes respondents who reported a White group alone (e.g., German), multiple White groups (e.g., German and Irish), as well as respondents who reported one White group and one or more other groups classified as another race (e.g., German and Haitian)..[4] "Other races alone or in combination" includes respondents who reported one race group or multiple race groups that were not classified as Black or African American or White (e.g., Chinese and Samoan), as well as respondents who reported one group that was not classified as Black or African American or White and another that was classified as Black or African American or White (e.g., Chinese and Haitian)..[5] This category includes people who reported Cuban, Spaniard, and other detailed Hispanic responses. It also includes people who reported "Hispanic" or "Latino" and other general terms..[6] This category includes respondents who reported one race group that was not classified as Black or African American or White..[7] "Spouse" represents spouse of the householder. It does not reflect all spouses in a household..[8] "Family households" consist of a householder and one or more other people related to the householder by birth, marriage, or adoption..Explanation of Symbols: 1.An "-" means the statistic could not be computed because there were an insufficient number of observations. 2. An "-" following a median estimate means the median falls in the lowest interval of an open-ended distribution.3. An "+" following a median estimate means the median falls in the upper interval of an open-ended distribution.4. An "(X)" means not applicable..Source: U.S. Census Bureau, 2020 Census, U.S. Virgin Islands.

  6. Haiti: employed population share by status 2015-2021

    • statista.com
    Updated Oct 7, 2024
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    Statista (2024). Haiti: employed population share by status 2015-2021 [Dataset]. https://www.statista.com/statistics/1039542/distribution-employed-population-status-haiti/
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    Dataset updated
    Oct 7, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Haiti
    Description

    In 2021, approximately 23 percent of the employed population of Haiti held “paid employment jobs”, or jobs where they held employment contracts with right to basic remuneration. This figure is considerably lower compared to 2019, when it stood at 26.1. The highest share of employed population in the country belongs to own-account workers with a 54.1 percent workforce. Moreover, Haiti was the Latin American or Caribbean country with the lowest share of employees in its workforce.

  7. a

    CensusPlanningDataCTs2018Final

    • geohub-bcgis.opendata.arcgis.com
    • data.pompanobeachfl.gov
    Updated Apr 16, 2020
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    BCGISData (2020). CensusPlanningDataCTs2018Final [Dataset]. https://geohub-bcgis.opendata.arcgis.com/datasets/BCGIS::population-of-haitian-ancestry-2017-?layer=16
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    Dataset updated
    Apr 16, 2020
    Dataset authored and provided by
    BCGISData
    Area covered
    Description

    The layer was derived and compiled from the U.S. Census Bureau’s 2013 – 2017 American Community Survey (ACS) 5-Year Estimates in order to assist 2020 Census planning purposes.

    Source: U.S. Census Bureau, Table B04006 PEOPLE REPORTING ANCESTRY, 2013 – 2017 ACS 5-Year Estimates

    Effective Date: December 2018

    Last Update: December 2019

    Update Cycle: ACS 5-Year Estimates update annually each December. Vintage used for 2020 Census planning purposes by Broward County.

  8. Age and Sex-Specific Rates of Glaucoma Suspect (n = 191).

    • plos.figshare.com
    xls
    Updated Jun 2, 2023
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    Christine L. Bokman; Louis R. Pasquale; Richard K. Parrish II; Richard K. Lee (2023). Age and Sex-Specific Rates of Glaucoma Suspect (n = 191). [Dataset]. http://doi.org/10.1371/journal.pone.0115942.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Christine L. Bokman; Louis R. Pasquale; Richard K. Parrish II; Richard K. Lee
    License

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

    Description

    GS = glaucoma suspect.Age and Sex-Specific Rates of Glaucoma Suspect (n = 191).

  9. Baseline Characteristics of Eligible Participants (n = 750).

    • plos.figshare.com
    xls
    Updated Jun 2, 2023
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    Christine L. Bokman; Louis R. Pasquale; Richard K. Parrish II; Richard K. Lee (2023). Baseline Characteristics of Eligible Participants (n = 750). [Dataset]. http://doi.org/10.1371/journal.pone.0115942.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Christine L. Bokman; Louis R. Pasquale; Richard K. Parrish II; Richard K. Lee
    License

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

    Description

    IOP = intraocular pressure; SD = standard deviation; CDR = cup-to-disc radio; CCT = central corneal thickness.aFamily history of glaucoma or glaucoma suspect in a first- or second-degree relative.bVisual acuity in the better-seeing eye.cAbnormal visual field is 3 or more sector misses.Baseline Characteristics of Eligible Participants (n = 750).

  10. Haiti: gross national income per capita 2014-2023

    • statista.com
    Updated Jun 4, 2025
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    Statista (2025). Haiti: gross national income per capita 2014-2023 [Dataset]. https://www.statista.com/statistics/1070168/gross-national-income-per-capita-haiti/
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    Dataset updated
    Jun 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Haiti
    Description

    The national gross income per capita in Haiti increased by 140 U.S. dollars (+8.64 percent) in 2023 in comparison to the previous year. Therefore, the national gross income in Haiti reached a peak in 2023 with 1,760 U.S. dollars. Gross national income (GNI) per capita is the total value of money received by a country, from both domestic or foreign sources, divided by the midyear population. The World Bank uses a conversion system known as the Atlas method, which implements a price adjusted, three year moving average, smoothing out fluctuations in exchange rates.Find more statistics on other topics about Haiti with key insights such as value added to gross domestic product by the manufacturing sector, value added by the agriculture, forestry and fishing sector to the gross domestic product, value added by the agriculture, forestry, and fishing sector to the gross domestic product.

  11. Examination Findings in Glaucoma Suspect Cases (n = 191).

    • plos.figshare.com
    xls
    Updated Jun 3, 2023
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    Christine L. Bokman; Louis R. Pasquale; Richard K. Parrish II; Richard K. Lee (2023). Examination Findings in Glaucoma Suspect Cases (n = 191). [Dataset]. http://doi.org/10.1371/journal.pone.0115942.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Christine L. Bokman; Louis R. Pasquale; Richard K. Parrish II; Richard K. Lee
    License

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

    Description

    SD = standard deviation; CCT = central corneal thickness; IOP = intraocular pressure; CDR = cup-to-disc ratio.aAbnormal visual field is 3 or more sector misses.Examination Findings in Glaucoma Suspect Cases (n = 191).

  12. 2020 Decennial Census of Island Areas: PCT4 | BLACK OR AFRICAN AMERICAN...

    • data.census.gov
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    DEC, 2020 Decennial Census of Island Areas: PCT4 | BLACK OR AFRICAN AMERICAN ALONE WITH ONE OR MORE BLACK OR AFRICAN AMERICAN CATEGORIES FOR SELECTED GROUPS (DECIA U.S. Virgin Islands Demographic and Housing Characteristics) [Dataset]. https://data.census.gov/table/DECENNIALDHCVI2020.PCT4?q=AM%20MILLWORKS
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    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    DEC
    License

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

    Time period covered
    2020
    Area covered
    Africa
    Description

    Note: For information on data collection, confidentiality protection, nonsampling error, and definitions, see the 2020 Island Areas Censuses Technical Documentation..Due to COVID-19 restrictions impacting data collection for the 2020 Census of the U.S. Virgin Islands, data tables reporting social and economic characteristics do not include the group quarters population in the table universe. As a result, impacted 2020 data tables should not be compared to 2010 and other past census data tables reporting the same characteristics. The Census Bureau advises data users to verify table universes are the same before comparing data across census years. For more information about data collection limitations and the impacts on the U.S. Virgin Islands' data products, see the 2020 Island Areas Censuses Technical Documentation..Note: The numbers by detailed Black or African American groups do not add to the total population. This is because the detailed Black or African American groups are tallies of the number of Black or African American responses rather than the number of Black or African American respondents. Respondents who reported multiple Black or African American groups are counted more than once. For example, a respondent reporting "St. Lucian and Haitian" is included in the St. Lucian as well as the Haitian numbers..Note: For information on the codes used when processing the data in this table, see the 2020 Island Areas Censuses Technical Documentation..Explanation of Symbols: 1.An "-" means the statistic could not be computed because there were an insufficient number of observations. 2. An "-" following a median estimate means the median falls in the lowest interval of an open-ended distribution.3. An "+" following a median estimate means the median falls in the upper interval of an open-ended distribution.4. An "N" means data are not displayed for the selected geographic area due to concerns with statistical reliability or an insufficient number of cases.5. An "(X)" means not applicable..Source: U.S. Census Bureau, 2020 Census, U.S. Virgin Islands.

  13. Latin America: exposure to solid fuel air pollution 2019, by country

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Latin America: exposure to solid fuel air pollution 2019, by country [Dataset]. https://www.statista.com/statistics/868606/share-population-exposed-solid-fuels-pollution-latam-country/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    Latin America, LAC
    Description

    Haiti is the country with the highest level of exposure to household air pollution from solid fuels in Latin America and the Caribbean. In 2019, almost 90 percent of the Haitian population was exposed to this kind of pollution. Honduras came in second, far behind, with nearly half of its population being affected.

  14. a

    Black Population Percentage 2020 Wichita / Sedgwick County

    • ict-opendata-cityofwichita.hub.arcgis.com
    Updated Mar 7, 2022
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    City of Wichita GIS (2022). Black Population Percentage 2020 Wichita / Sedgwick County [Dataset]. https://ict-opendata-cityofwichita.hub.arcgis.com/maps/8f977e2f827c45a3905856e9b799c0cb
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    Dataset updated
    Mar 7, 2022
    Dataset authored and provided by
    City of Wichita GIS
    Area covered
    Description

    The US Census Bureau defines Black or African American as "A person having origins in any of the Black racial groups of Africa. It includes people who indicate their race as "Black or African American," or report entries such as African American, Kenyan, Nigerian, or Haitian.". Black population percentage was calculated based upon total Black or African Americans within the census block group divided the total population of the same census block group. 2020 Census block groups for the Wichita / Sedgwick County area, clipped to the county line. Features were extracted from the 2020 State of Kansas Census Block Group shapefile provided by the State of Kansas GIS Data Access and Support Center (https://www.kansasgis.org/index.cfm).Standard block groups are clusters of blocks within the same census tract that have the same first digit of their 4-character census block number. For example, blocks 3001, 3002, 3003… 3999 in census tract 1210.02 belong to Block Group 3. Due to boundary and feature changes that occur throughout the decade, current block groups do not always maintain these same block number to block group relationships. For example, block 3001 might move due to a change in the census tract boundary. Even if the block is no longer in block group 3, the block number (3001) will not change. However, the identification string (GEOID20) for that block, identifying block group 3, would remain the same in the attribute information in the TIGER/Line Shapefiles because block identification strings are always built using the decennial geographic codes.Block groups delineated for the 2020 Census generally contain between 600 and 3,000 people. Local participants delineated most block groups as part of the Census Bureau's Participant Statistical Areas Program (PSAP). The Census Bureau delineated block groups only where a local or tribal government declined to participate or where the Census Bureau could not identify a potential local participant.A block group usually covers a contiguous area. Each census tract contains at least one block group and block groups are uniquely numbered within census tract. Within the standard census geographic hierarchy, block groups never cross county or census tract boundaries, but may cross the boundaries of county subdivisions, places, urban areas, voting districts, congressional districts, and American Indian, Alaska Native, and Native Hawaiian areas.Block groups have a valid range of 0 through 9. Block groups beginning with a zero generally are in coastal and Great Lakes water and territorial seas. Rather than extending a census tract boundary into the Great Lakes or out to the 3-mile territorial sea limit, the Census Bureau delineated some census tract boundaries along the shoreline or just offshore.

  15. Political Culture of Democracy in Haiti, 2006; 2008

    • archive.ciser.cornell.edu
    Updated Jan 7, 2020
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    Latin American Public Opinion Project (2020). Political Culture of Democracy in Haiti, 2006; 2008 [Dataset]. http://doi.org/10.6077/ket4-zw81
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    Dataset updated
    Jan 7, 2020
    Dataset authored and provided by
    Latin American Public Opinion Projecthttp://www.vanderbilt.edu/lapop/
    Area covered
    Haiti
    Variables measured
    Individual
    Description

    These surveys were conducted as part of the AmericasBarometers series sponsored by the Latin American Public Opinion Project (LAPOP) at Vanderbilt University with support from the United States Agency for International Development (USAID). The sample represents the noninstitutionalized adult population from all geographic regions and both urban and rural areas. The surveys measure trust in Haitian government and political institutions, satisfaction with delivery of services and economic development, perception of how national and local governments function, personal experience with crime and corruption, and other topics related to political values and behaviors.

  16. u

    Community Interpreting Database Pilot Corpus (ComInDat)

    • fdr.uni-hamburg.de
    Updated Mar 9, 2010
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    Angermeyer, Philipp; Bührig, Kristin; Meyer, Bernd; Angermeyer, Philipp; Bührig, Kristin; Meyer, Bernd (2010). Community Interpreting Database Pilot Corpus (ComInDat) [Dataset]. http://doi.org/10.25592/uhhfdm.1478
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    Dataset updated
    Mar 9, 2010
    Dataset provided by
    Mainz University
    Authors
    Angermeyer, Philipp; Bührig, Kristin; Meyer, Bernd; Angermeyer, Philipp; Bührig, Kristin; Meyer, Bernd
    Description

    Audio and video recordings of various types of community interpreted discourse (doctor-patient communication, simulated doctor-patient communication, courtroom communication) in German (simulated and authentic doctor-patient communication) and US (courtroom communication) institutions with varying community languages. Video recordings only exist for the simulated communication. For the authentic interpreted doctor-patient communication, no audio files will be made available.

    The ComInDat pilot corpus contains sample data from three different projects: the DiK corpus of Portuguese/German and Turkish/German interpreted doctor-patient communication in hospitals (Bührig & Meyer 2004), he IiSCC-corpus, a corpus of interpreted court proceedings in different language constellations (Spanish/English, Russian/English, Haitian Creole/English and Polish/English) (Angermeyer 2006), a corpus of simulated interpreted doctor-patient interactions in different language constellations (Russian/German, Polish/German and Romanian/German) from a training seminar for bilingual nursing staff ("SimDiK", Bührig, Kliche, Meyer & Pawlack 2012). More information about the background of the corpus and the details of its design can be found in (Angermeyer, Meyer & Schmidt 2012). For more information about the project, please contact Philipp Angermeyer.

    Angermeyer, P., Meyer, B. and Schmidt, T. (2012). Sharing Community Interpreting Corpora: A pilot study. In: Schmidt, T. and Wörner, K. (eds.) Multilingual Corpora and Multilingual Corpus Analysis. Amsterdam: Benjamins, 275-294.

    CLARIN Metadata summary for Community Interpreting Database Pilot Corpus (ComInDat) (CMDI-based)

    Title: Community Interpreting Database Pilot Corpus (ComInDat)
    Description: Audio and video recordings of various types of community interpreted discourse (doctor-patient communication, simulated doctor-patient communication, courtroom communication) in German (simulated and authentic doctor-patient communication) and US (courtroom communication) institutions with varying community languages. Video recordings only exist for the simulated communication. For the authentic interpreted doctor-patient communication, no audio files will be made available.
    Publication date: 2013-06-10
    Data owner: Philipp Angermeyer, Department of Languages, Literatures and Linguistics / York University / 4700 Keele Street / Canada M3J 1P3, pangerme@yorku.ca, Kristin Bührig, Institut für Germanistik I / Von-Melle-Park 6 / D-20146 Hamburg, kristin.buehrig@uni-hamburg.de, Bernd Meyer, Arbeitsbereich Interkulturelle Kommunikation / Fachbereich 06: Translations-, Sprach- und Kulturwissenschaft / Johannes Gutenberg-Universität Mainz / An der Hochschule 2 / D-76726 Germersheim, meyerb@uni-mainz.de
    Contributors: Philipp Angermeyer, Department of Languages, Literatures and Linguistics / York University / 4700 Keele Street / Canada M3J 1P3, pangerme@yorku.ca (compiler), Kristin Bührig, Institut für Germanistik I / Von-Melle-Park 6 / D-20146 Hamburg, kristin.buehrig@uni-hamburg.de (compiler), Bernd Meyer, Arbeitsbereich Interkulturelle Kommunikation / Fachbereich 06: Translations-, Sprach- und Kulturwissenschaft / Johannes Gutenberg-Universität Mainz / An der Hochschule 2 / D-76726 Germersheim, meyerb@uni-mainz.de (compiler)
    Project: The Integration of Text, Sound, and Image into the Corpus-Based Analysis of Interpreter-Mediated Interaction
    Keywords: community interpreting, doctor-patient communication, courtroom communication, EXMARaLDA
    Languages: German (deu), English (eng), Spanish (spa), Turkish (tur), Polish (pol), Portuguese (por), Romanian (ron), Russian (rus), Haitian (hat)
    Size: 54 speakers (35 female, 16 male, 3 unknown), 14 communications, 12 recordings, 83 minutes, 17 transcriptions, 35051 words
    Annotation types: transcription (manual): HIAT/CHAT, deu: German translation, eng: English translation, k: free comment, lang: utterance language, sup: suprasegmental information, trans: utterance translation status, akz: accentuation/stress, pol: Polish translation
    Temporal Coverage: 1999-07-01/2010-03-09
    Spatial Coverage: Hamburg, DE; New York, US; Neumünster, DE
    Genre: discourse
    Modality: spoken
    References: Angermeyer, P., Meyer, B. and Schmidt, T. (2012). Sharing Community Interpreting Corpora: A pilot study. In: Schmidt, T. and Wörner, K. (eds.) Multilingual Corpora and Multilingual Corpus Analysis. Amsterdam: Benjamins, 275-294.

  17. Haiti: number of homicides 2010-2023

    • statista.com
    Updated Jul 1, 2025
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    Statista (2025). Haiti: number of homicides 2010-2023 [Dataset]. https://www.statista.com/statistics/312477/number-of-homicides-in-haiti/
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    Dataset updated
    Jul 1, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Haiti
    Description

    In 2022, 2,088 people died as a result of intentional homicide in Haiti. The following year, in 2023, the number of victims had reached 4,789, the highest number of homicides since at least 2010.

  18. Foreign population Spain 2023, by nationality

    • statista.com
    Updated Jan 22, 2025
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    Statista (2025). Foreign population Spain 2023, by nationality [Dataset]. https://www.statista.com/statistics/445784/foreign-population-in-spain-by-nationality/
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    Dataset updated
    Jan 22, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1, 2023
    Area covered
    Spain
    Description

    As recorded by the source, Moroccans ranked as the foreign nationality with more residents in Spain in 2023, closely followed by Romanians. After years of losing its foreign population, Spain’s immigration figures started to pick up in 2015, with the number of people that moved to the Mediterranean country surpassing the number of foreigners that decided to leave.

    A matter of balance The net migration rate of Spain changed its course mainly due to the great inflow of foreigners that move to reside in the Mediterranean country. Spain’s immigration flow slowed down after the 2008 financial crisis, albeit the number of foreigners that opted to change their residence saw a significant growth in the last years. In 2022, Colombians ranked first as the foreign nationality that most relocated to Spain, distantly followed by Moroccans and Ukranians.

    Spain does not have the highest number of immigrants in Europe In recent years, the European Union confronted a rising number of refugees arriving from the Middle East. Migration figures show that Germany accommodated approximately 15 million foreign-born citizens, ranking it as the country that most hosted immigrants in Europe in 2022. By comparison, Spain’s foreign population stood slightly over seven million, positioning the Western Mediterranean country third on the European list of foreign-born population. Unfortunately, thousands of persons have died ore gone missing trying to reach Spanish territory, as more and more irregular migrants opt to use dangerous maritime routes to arrive at Southern Europe from Africa's coasts.

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External Datasets (2022). Population of Haitian Ancestry - 2017 [Dataset]. https://data.pompanobeachfl.gov/dataset/population-of-haitian-ancestry-2017

Population of Haitian Ancestry - 2017

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html, arcgis geoservices rest apiAvailable download formats
Dataset updated
Mar 3, 2022
Dataset provided by
cjennings_BCGIS
Authors
External Datasets
Description

The layer was derived and compiled from the U.S. Census Bureau’s 2013 – 2017 American Community Survey (ACS) 5-Year Estimates in order to assist 2020 Census planning purposes.

Source: U.S. Census Bureau, Table B04006 PEOPLE REPORTING ANCESTRY, 2013 – 2017 ACS 5-Year Estimates

Effective Date: December 2018

Last Update: December 2019

Update Cycle: ACS 5-Year Estimates update annually each December. Vintage used for 2020 Census planning purposes by Broward County.

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