Facebook
TwitterThis map features a global estimate of human population for 2016 with a focus on the Caribbean region . Esri created this estimate by modeling a footprint of where people live as a dasymetric settlement likelihood surface, and then assigned 2016 population estimates stored on polygons of the finest level of geography available onto the settlement surface. Where people live means where their homes are, as in where people sleep most of the time, and this is opposed to where they work. Another way to think of this estimate is a night-time estimate, as opposed to a day-time estimate.Knowledge of population distribution helps us understand how humans affect the natural world and how natural events such as storms and earthquakes, and other phenomena affect humans. This layer represents the footprint of where people live, and how many people live there.Dataset SummaryEach cell in this layer has an integer value with the estimated number of people likely to live in the geographic region represented by that cell. Esri additionally produced several additional layers World Population Estimate Confidence 2016: the confidence level (1-5) per cell for the probability of people being located and estimated correctly. World Population Density Estimate 2016: this layer is represented as population density in units of persons per square kilometer.World Settlement Score 2016: the dasymetric likelihood surface used to create this layer by apportioning population from census polygons to the settlement score raster.To use this layer in analysis, there are several properties or geoprocessing environment settings that should be used:Coordinate system: WGS_1984. This service and its underlying data are WGS_1984. We do this because projecting population count data actually will change the populations due to resampling and either collapsing or splitting cells to fit into another coordinate system. Cell Size: 0.0013474728 degrees (approximately 150-meters) at the equator. No Data: -1Bit Depth: 32-bit signedThis layer has query, identify, pixel, and export image functions enabled, and is restricted to a maximum analysis size of 30,000 x 30,000 pixels - an area about the size of Africa.Frye, C. et al., (2018). Using Classified and Unclassified Land Cover Data to Estimate the Footprint of Human Settlement. Data Science Journal. 17, p.20. DOI: https://doi.org/10.5334/dsj-2018-020.What can you do with this layer?This layer is unsuitable for mapping or cartographic use, and thus it does not include a convenient legend. Instead, this layer is useful for analysis, particularly for estimating counts of people living within watersheds, coastal areas, and other areas that do not have standard boundaries. Esri recommends using the Zonal Statistics tool or the Zonal Statistics to Table tool where you provide input zones as either polygons, or raster data, and the tool will summarize the count of population within those zones.
Facebook
TwitterSimple dataset with 2010-2019 population data from 42 countries in Latin American and the Caribbean in a wide format. Used as part of the Google Data Analysis Certification programme and useful to beginners in data analysis.
Facebook
TwitterDATA DESCRIPTION: Version 2.0 estimates of total number of people per grid square for five timepoints between 2000 and 2020 at five year intervals; national totals have been adjusted to match UN Population Division estimates for each time point(1) REGION: Latin America and the Caribbean SPATIAL RESOLUTION: 0.00833333 decimal degrees (approx 1km at the equator) PROJECTION: Geographic, WGS84 UNITS: Estimated persons per grid square FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - LAC_PPP_2010_adj_v2.tif = Latin America and the Caribbean (LAC) population dataset presenting people per pixel (PPP) for 2010, adjusted to match UN national estimates (adj), dataset version 2.0 (v2) DATASET CONSTRUCTION DETAILS: This dataset is a mosaic of all WorldPop country level LAC datasets resampled to 1km resolution. The continental grouping of countries honours the macro geographical classification developed and maintained by the United Nations Statistics Division(2). For countries within each continental group which have not been mapped by WorldPop, GPWv4 1km population count data(3) was used to complete the mosaic. Full details of WorldPop population mapping methodologies are described here: www.worldpop.org.uk/data/methods/ DATE OF PRODUCTION: November 2016 Also included: (i) csv table describing the data source of the modelled population data for each country dataset (either WorldPop or GPWv4) which featured in the continental raster mosaic. _ (1) United Nations Population Division, WorldPopulation Prospects, 2015 Revision. http://esa.un.org/wpp/ (2) United Nations Statistics Division. http://unstats.un.org/unsd/methods/m49/m49regin.htm (3) Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. Gridded Population of the World, Version 4 (GPWv4): Population Count. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://dx.doi.org/10.7927/H4X63JVC. Accessed 30 Sept 2016
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This table provides data about access and use of the internet by the population of the Caribbean Netherlands aged 15 years and older in private households. The following topics are presented: access to the internet at home, type of internet connections and when persons have last used the internet. For persons who have used the internet in the last three months, the table provides information about the frequency of the use of internet in the last three months, in which location the persons last went online and the kind of internet activities. In 2017/2018, questions about the use of the internet were only asked to people who have internet access at home, whereas in 2013 these questions were asked to people who have internet access at home and/or elsewhere. The figures on the use of the internet are therefore not comparable between 2013 and 2017/2018. Breakdowns by sex, age and level of education are presented. These aspects are shown for the Caribbean Netherlands and also for the islands Bonaire, St Eustatius and Saba separately. The research is a sample survey. This means that the figures shown are estimates for which reliability margins apply. These margins are also included in the table. The Omnibus survey was carried out for the first time on Bonaire, Saba and St. Eustatius in 2013 during the month of June and the first week of July. For the second time the Omnibus survey was carried out on Bonaire during the months of October and November 2017, and on Saba and St. Eustatius in the period January to March 2018. Data available from: 2013 Status of the figures: The figures in this table are final. Changes as of 4 April 2019 None, this is a new table. When will new figures be published? New data will be published every four years.
Facebook
TwitterAttribution-NonCommercial-NoDerivs 3.0 (CC BY-NC-ND 3.0)https://creativecommons.org/licenses/by-nc-nd/3.0/
License information was derived automatically
Crime is a major problem in Latin America and the Caribbean. With 9 percent of the world's population, the region accounts for 33 percent of global homicides. This dataset makes extensive new survey data available to help identify what anti-crime policies citizens in the region demand from their governments, as well as who is demanding what and why. This dataset accompanies a recent report on Combating Crime in Latin America and the Caribbean.
Facebook
TwitterAttribution-NonCommercial-NoDerivs 3.0 (CC BY-NC-ND 3.0)https://creativecommons.org/licenses/by-nc-nd/3.0/
License information was derived automatically
Crime is a major problem in Latin America and the Caribbean. With 9 percent of the world's population, the region accounts for 33 percent of global homicides. This dataset makes extensive new survey data available to help identify what anti-crime policies citizens in the region demand from their governments, as well as who is demanding what and why. This dataset accompanies a recent report on Combating Crime in Latin America and the Caribbean, https://publications.iadb.org/en/combating-crime-latin-america-and-caribbean-what-public-policies-do-citizens-want. Data from Americas Barometer study were collected in 2016–17 and refer to the subsample of 17 countries in Latin America. The IADB–LAPOP–Capital Cities Project includes data collected from 2017, between August and September. A total of 6,040 interviews in seven countries were conducted as part of the project (Chile, Colombia, Honduras, Mexico, Panama, Peru, and Uruguay). Methodology and Code variables definitions are available here: https://publications.iadb.org/en/what-public-policies-do-citizens-want-combating-crime-latin-america-and-caribbean-dataset
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This table summarizes the income of people in the Caribbean Netherlands; the islands of Bonaire, St. Eustatius, and Saba. Persons are differentiated according to sex, age, socio-economic category, position in the household and income level. The income level quartile groups are determined per island, since the income differences between the islands make a classification for the Caribbean Netherlands as a total difficult to interpret.
Population: The population consists of the people in private households with income observed. The reference date is December 31 of the year under review.
Data is available starting from 2011.
Status of the figures: The figures for the years 2011 through 2018 are final. The figures for 2019 are provisional.
Changes June 8, 2021: The figures for 2018 are final. The figures for 2019 are provisional.
When will new figures be published? New figures are expected in May 2022.
Facebook
TwitterThis statistic shows a ranking of the estimated bank account penetration in 2020 in Latin America and the Caribbean, differentiated by country. The penetration rate refers to the share of the total population.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than *** countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).
Facebook
TwitterApache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
Techsalerator's News Events Data for Antigua and Barbuda: A Comprehensive Overview
Techsalerator's News Events Data for Antigua and Barbuda provides an essential resource for businesses, researchers, and media organizations. This dataset compiles information on significant news events across the country, drawing from diverse media sources, including news outlets, online publications, and social platforms. It offers valuable insights for those seeking to track trends, analyze public sentiment, or monitor industry-specific developments in Antigua and Barbuda.
Key Data Fields
Event Date: Captures the exact date of the news event, which is critical for analysts who need to monitor trends over time or for businesses responding to market shifts.
Event Title: A brief headline describing the event. This allows users to quickly categorize and assess news content based on relevance to their interests.
Source: Identifies the news outlet or platform where the event was reported. This helps users track credible sources and assess the reach and influence of the event.
Location: Provides geographic information, indicating where the event took place within Antigua and Barbuda. This is especially valuable for regional analysis or localized marketing efforts.
Event Description: A detailed summary of the event, outlining key developments, participants, and potential impact. Researchers and businesses use this to understand the context and implications of the event.
Top 5 News Categories in Antigua and Barbuda
Politics: Major news coverage on government decisions, political movements, elections, and policy changes that affect the national landscape.
Economy: Focuses on Antigua and Barbuda’s economic indicators, tourism, international trade, and corporate activities influencing business and finance sectors.
Social Issues: News events covering public health, education, housing, and other societal concerns that shape public discourse.
Sports: Highlights events in cricket, sailing, and other popular sports that draw national and international attention.
Tourism and Development: Reports on tourism-related developments, infrastructure projects, and real estate, reflecting the country’s dependence on tourism as a key economic driver.
Top 5 News Sources in Antigua and Barbuda
Antigua Observer: A leading newspaper providing in-depth coverage of politics, economy, and social issues in the country.
ABS Television/Radio: The state-owned media organization that offers news updates on current affairs, sports, and live events throughout Antigua and Barbuda.
Caribbean News Now: A regional online news platform that covers news from Antigua and Barbuda, focusing on politics, tourism, and international relations.
Loop News Caribbean: A digital news outlet offering real-time updates on breaking news, sports, and entertainment across the Caribbean, including Antigua and Barbuda.
Antigua Chronicle: An online publication that focuses on local news, politics, and events affecting the people of Antigua and Barbuda.
Accessing Techsalerator’s News Events Data for Antigua and Barbuda
To access Techsalerator’s News Events Data for Antigua and Barbuda, please contact info@techsalerator.com with your specific needs. We will provide a customized quote based on the data fields and records you require, with delivery available within 24 hours. Ongoing access options can also be discussed.
Included Data Fields
Techsalerator’s dataset is an invaluable tool for keeping track of significant events in Antigua and Barbuda. It aids in making informed decisions, whether for business strategy, market analysis, or academic research, providing a clear picture of the country’s news landscape.
Facebook
TwitterThis layer shows the total population in Trinidad and Tobago in 2018, in a multiscale map (Country and Municipality). Nationally, there are 1,366,217 people in Trinidad and Tobago.
Facebook
TwitterThis is an excel mapping tool that was built based on Caribbean Islands administrative boundaries (admin0). The Map datasets was coming from GADM, Centre National de l'Information Géo-Spatiale (Haiti) and Oficina Nacional de Estadística (Dominican Republic). The population dataset is a sample data. This tool is made for people in the field with limited access to GIS to quickly map their data.
Facebook
TwitterThis layer presents the percentage of Indigenous people who have access to piped water services in 13 countries of the Latin America and Caribbean (LAC) region. In LAC, Indigenous peoples are 10 to 25 percent less likely to have access to piped water than the region’s Non-Indigenous populations. Lack of access to Water Supply and Sanitation (WSS) services perpetuates chronic poverty. Extending the human right of access to WSS services to Indigenous peoples represents the final step for many countries of the region to reach universal water coverage.For more information, access the report here: https://openknowledge.worldbank.org/bitstream/handle/10986/25405/110266-WP-Toolkit-Indigenous-Peoples-and-WSS-in-LAC-PUBLIC.pdf?sequence=1&isAllowed=y
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This table contains the dynamic purchasing power of people in the Caribbean Netherlands; the islands of Bonaire, St. Eustatius, and Saba. Persons are differentiated according to sex, position in the household and household characteristics age main earner, main income source and income level. The income level quartile groups are determined per island, since the income differences between the islands make a classification for the Caribbean Netherlands as a total difficult to interpret.
Population: The population consists of the people in private households with income observed. The reference date is December 31 of the year under review.
Data is available starting from: 2012.
Status of the figures: The figures for the years 2011 through 2018 are final. The figures for 2019 are provisional.
Changes June 8, 2021: The figures for 2018 are final. The figures for 2019 are provisional.
When will new figures be published? New figures are expected in May 2022.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This table provides data on lifestyle of the population of the Caribbean Netherlands aged 15 years and older in private households. It comprises the following aspects of lifestyle: - Smoking - Use of alcohol - Length, weight, people who are underweight and overweight - Use of contraceptive pill These aspects are shown for the Caribbean Netherlands, and also for the islands of Bonaire, St Eustatius and Saba separately. Also breakdowns by sex, age and level of education are presented. The research is a sample survey. This means that the figures shown are estimates for which reliability margins apply. These margins are also included in the table. The Omnibus survey was carried out for the first time on Bonaire, Saba and St. Eustatius in 2013 during the month of June and the first week of July. For the second time the Omnibus survey was carried out on Bonaire during the months of October and November 2017, and on Saba and St. Eustatius in the period January to March 2018.
Data available from: 2013
Status of the data: The figures for the most recent period are provisional.
Changes as of April 18th 2019 The underlying coding of classifications (Carribean Netherlands and Personal characteristics) used in this table has been adjusted. It is now in line with the standard encoding defined by CBS. The structure and data of the table have not been adjusted.
When will new data be published? New data will be published every four years.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This table contains yearly figures on the attachment of people to the labour market for the special municipalities Bonaire, St. Eustatius and Saba (the Caribbean Netherlands). The population of 15 to 74 years of age (excluding the institutionalized population) is divided into the employed labour force and the non-employed labour force. The employed labour force is subdivided on the basis of whether they want to work more or not. The non-employed labour force is subdivided into the unemployed and those not in the labour force. Those not in the labour force are subdivided based on the search and availability criteria. A division by sex, age and level of education is available.
Data available from: 2012
Status of the figures: The figures in this table are final.
Changes as of 7 July 2025: The figures of 2024 are added.
Changes as of 26 April 2019: The figures of 2018 are added Because of a programming error the figures about wanting to work more hours, and not wanting to work more hours in the previous version of this table were incorrect. Too little people were wrongly assigned to the group who wants to work more hours. This is corrected in this version of the table. The figures about the highest level of education have been revised. The revision concerns people who attended common years of education (avo). Where they previously had an intermediate level of education, they now receive a low level of education, following the format used for the European Netherlands.
When will new figures be published? New figures will be published every two years.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This table contains yearly figures on labour participation of young people living on Bonaire, St. Eustatius and Saba (the Caribbean Netherlands). The population of 15 to 24 years of age (excluding the institutionalized population) is divided into the employed labour force, the unemployed labour force and those not in the labour force. The employed labour force is subdivided on the basis of the professional status and the average working hours. A division by sex and whether they are in education is available. Data available from: 2012 Status of the figures: The figures in this table are final. Changes as of 28 June 2023: The figures of 2022 are added. When will new figures be published? New figures will be published every two years.
Facebook
TwitterThis layer presents the percentage of Indigenous people who have access to improved sanitation services in 11 countries of the Latin America and Caribbean (LAC) region.In LAC, Indigenous peoples are 26 percent less likely to have access to to improved sanitation than the region’s Non-Indigenous populations. Lack of access to Water Supply and Sanitation (WSS) services perpetuates chronic poverty. Extending the human right of access to WSS services to Indigenous peoples represents the final step for many countries of the region to reach universal water coverage.For more information, access the report here: https://openknowledge.worldbank.org/bitstream/handle/10986/25405/110266-WP-Toolkit-Indigenous-Peoples-and-WSS-in-LAC-PUBLIC.pdf?sequence=1&isAllowed=y
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Summary of estimated population movement in Haiti as of 24 October 2016. The estimated distribution of people for whom their home Section Communale in the pre-hurricane period was in either Grande Anse, Sud or Nippes départment, and as of 24 October had moved to another Section Communale. Estimates are based on movements of de-identified Digicel SIM cards which made or received at least one call pre-hurricane and on 24 October 2016. The SIM card movements are combined with available population data derived from estimates for the year 2015.Date Published 11/04/2016
Facebook
TwitterThis layer presents the percentage of Non-Indigenous people who have access to piped water services in 13 countries of the Latin America and Caribbean (LAC) region.In LAC, Indigenous peoples are 10 to 25 percent less likely to have access to piped water than the region’s Non-Indigenous populations. Lack of access to Water Supply and Sanitation (WSS) services perpetuates chronic poverty. Extending the human right of access to WSS services to Indigenous peoples represents the final step for many countries of the region to reach universal water coverage.For more information, access the report here: https://openknowledge.worldbank.org/bitstream/handle/10986/25405/110266-WP-Toolkit-Indigenous-Peoples-and-WSS-in-LAC-PUBLIC.pdf?sequence=1&isAllowed=y
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
BackgroundThe 2020 Global Nutrition Report highlights that despite improvements in select nutrition indicators, progress is too slow to meet the 2025 Global Nutrition Targets. While the Latin America and the Caribbean (LAC) region has achieved the greatest global reduction in undernutrition (stunting, underweight, and wasting) in the past decade, it also has the highest prevalence of people with overweight worldwide. Since the early 2000s, the region has mounted increasingly comprehensive and multi-sectoral policy interventions to address nutritional health outcomes. The Bahamas is one such LAC country that has used consistent policy responses to address evolving nutritional challenges in its population. After addressing the initial problems of undernutrition in the 1970s and 80s, however, overconsumption of unhealthy foods has led to a rising prevalence of obesity which The Bahamas has grappled with since the early 2000s.ObjectiveThis study develops a timeline of obesity-related health policy responses and explores the macrosocial factors and conditions which facilitated or constrained public health policy responses to obesity in The Bahamas over a 20-year period.MethodsThis multi-method case study was conducted between 2019 and 2021. A document review of health policies was combined with secondary analysis of a range of other documents and semi-structured interviews with key actors (policymakers, health workers, scholars, and members of the public). Data sources for secondary data analysis included policy documents, national survey data on obesity, national and regional newspaper websites, and the Digital Library of the Caribbean database. An adapted framework approach was used for the analysis of semi-structured interviews.ResultsBetween 2000 and 2019, a series of national policies and community-level interventions were enacted to address the prevalence of obesity. Building on previous interventions, obtaining multi-sectoral collaboration, and community buy-in for policy action contributed to reducing obesity prevalence from 49.2 to 43.7% between 2012 and 2019. There are, however, constraining factors, such as political and multi-sectoral challenges and gaps in legislative mandates and financing.ConclusionSustained multilevel interventions are effective in addressing the prevalence of obesity. To maintain progress, there is a need to implement gender-specific responses while ensuring accessibility, availability, and affordability of nutritious food for all.
Facebook
TwitterThis map features a global estimate of human population for 2016 with a focus on the Caribbean region . Esri created this estimate by modeling a footprint of where people live as a dasymetric settlement likelihood surface, and then assigned 2016 population estimates stored on polygons of the finest level of geography available onto the settlement surface. Where people live means where their homes are, as in where people sleep most of the time, and this is opposed to where they work. Another way to think of this estimate is a night-time estimate, as opposed to a day-time estimate.Knowledge of population distribution helps us understand how humans affect the natural world and how natural events such as storms and earthquakes, and other phenomena affect humans. This layer represents the footprint of where people live, and how many people live there.Dataset SummaryEach cell in this layer has an integer value with the estimated number of people likely to live in the geographic region represented by that cell. Esri additionally produced several additional layers World Population Estimate Confidence 2016: the confidence level (1-5) per cell for the probability of people being located and estimated correctly. World Population Density Estimate 2016: this layer is represented as population density in units of persons per square kilometer.World Settlement Score 2016: the dasymetric likelihood surface used to create this layer by apportioning population from census polygons to the settlement score raster.To use this layer in analysis, there are several properties or geoprocessing environment settings that should be used:Coordinate system: WGS_1984. This service and its underlying data are WGS_1984. We do this because projecting population count data actually will change the populations due to resampling and either collapsing or splitting cells to fit into another coordinate system. Cell Size: 0.0013474728 degrees (approximately 150-meters) at the equator. No Data: -1Bit Depth: 32-bit signedThis layer has query, identify, pixel, and export image functions enabled, and is restricted to a maximum analysis size of 30,000 x 30,000 pixels - an area about the size of Africa.Frye, C. et al., (2018). Using Classified and Unclassified Land Cover Data to Estimate the Footprint of Human Settlement. Data Science Journal. 17, p.20. DOI: https://doi.org/10.5334/dsj-2018-020.What can you do with this layer?This layer is unsuitable for mapping or cartographic use, and thus it does not include a convenient legend. Instead, this layer is useful for analysis, particularly for estimating counts of people living within watersheds, coastal areas, and other areas that do not have standard boundaries. Esri recommends using the Zonal Statistics tool or the Zonal Statistics to Table tool where you provide input zones as either polygons, or raster data, and the tool will summarize the count of population within those zones.