This layer shows Hispanic or Latino origin by specific origin. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. This layer is symbolized to show the percentage of the population with Hispanic or Latino origins. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2016-2020ACS Table(s): B03001 Data downloaded from: Census Bureau's API for American Community Survey Date of API call: March 17, 2022The United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2020 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

The population of Latin America and the Caribbean increased from 175 million in 1950 to 515 million in 2000. Where did this growth occur? What is the magnitude of change in different places? How can we visualize the geographic dimensions of population change in Latin America and the Caribbean? We compiled census and other public domain information to analyze both temporal and geographic changes in population in the region. Our database includes population totals for over 18,300 administrative districts within Latin America and the Caribbean. Tabular census data was linked to an administrative division map of the region and handled in a geographic information system. We transformed vector population maps to raster surfaces to make the digital maps comparable with other commonly available geographic information. Validation and error-checking analyses were carried out to compare the database with other sources of population information. The digital population maps created in this project have been put in the public domain and can be downloaded from our website. The Latin America and Caribbean map is part of a larger multi-institutional effort to map population in developing countries. This is the third version of the Latin American and Caribbean population database and it contains new data from the 2000 round of censuses and new and improved accessibility surfaces for creating the raster maps.

Social Indicators of Latin America and the Caribbean is a diverse dataset of indicators designed to capture social conditions in Latin America and the Caribbean. The indicators are derived from national household survey data, Censuses, and other sources covering 21 countries from 1990 to date. While the Sociómetro includes traditional global indicators, the database also includes tailor-made indicators in five areas: Demographics, Education, Labor Market, Housing, and Income, to better capture conditions in LAC. Moreover, unlike traditional aggregate indicators, the Sociómetro indicators are disaggregated by ethnicity and race (when available) and by gender, geographic residence, education, and income quintile. The indicators are not intended to serve as official data for any particular country but instead aim to provide a comparable set of social indicators for the Latin American region.

Techsalerator’s News Event Data in Latin America offers a detailed and extensive dataset designed to provide businesses, analysts, journalists, and researchers with an in-depth view of significant news events across the Latin American region. This dataset captures and categorizes key events reported from a wide array of news sources, including press releases, industry news sites, blogs, and PR platforms, offering valuable insights into regional developments, economic changes, political shifts, and cultural events.

Key Features of the Dataset: Comprehensive Coverage:

The dataset aggregates news events from numerous sources such as company press releases, industry news outlets, blogs, PR sites, and traditional news media. This broad coverage ensures a wide range of information from multiple reporting channels. Categorization of Events:

News events are categorized into various types including business and economic updates, political developments, technological advancements, legal and regulatory changes, and cultural events. This categorization helps users quickly locate and analyze information relevant to their interests or sectors. Real-Time Updates:

The dataset is updated regularly to include the most recent events, ensuring users have access to the latest news and can stay informed about current developments. Geographic Segmentation:

Events are tagged with their respective countries and regions within Latin America. This geographic segmentation allows users to filter and analyze news events based on specific locations, facilitating targeted research and analysis. Event Details:

Each event entry includes comprehensive details such as the date of occurrence, source of the news, a description of the event, and relevant keywords. This thorough detailing helps in understanding the context and significance of each event. Historical Data:

The dataset includes historical news event data, enabling users to track trends and perform comparative analysis over time. This feature supports longitudinal studies and provides insights into how news events evolve. Advanced Search and Filter Options:

Users can search and filter news events based on criteria such as date range, event type, location, and keywords. This functionality allows for precise and efficient retrieval of relevant information. Latin American Countries Covered: South America: Argentina Bolivia Brazil Chile Colombia Ecuador Guyana Paraguay Peru Suriname Uruguay Venezuela Central America: Belize Costa Rica El Salvador Guatemala Honduras Nicaragua Panama Caribbean: Cuba Dominican Republic Haiti (Note: Primarily French-speaking but included due to geographic and cultural ties) Jamaica Trinidad and Tobago Benefits of the Dataset: Strategic Insights: Businesses and analysts can use the dataset to gain insights into significant regional developments, economic conditions, and political changes, aiding in strategic decision-making and market analysis. Market and Industry Trends: The dataset provides valuable information on industry-specific trends and events, helping users understand market dynamics and emerging opportunities. Media and PR Monitoring: Journalists and PR professionals can track relevant news across Latin America, enabling them to monitor media coverage, identify emerging stories, and manage public relations efforts effectively. Academic and Research Use: Researchers can utilize the dataset for longitudinal studies, trend analysis, and academic research on various topics related to Latin American news and events. Techsalerator’s News Event Data in Latin America is a crucial resource for accessing and analyzing significant news events across the region. By providing detailed, categorized, and up-to-date information, it supports effective decision-making, research, and media monitoring across diverse sectors.

In 2023, California had the highest Hispanic population in the United States, with over 15.76 million people claiming Hispanic heritage. Texas, Florida, New York, and Illinois rounded out the top five states for Hispanic residents in that year. History of Hispanic people Hispanic people are those whose heritage stems from a former Spanish colony. The Spanish Empire colonized most of Central and Latin America in the 15th century, which began when Christopher Columbus arrived in the Americas in 1492. The Spanish Empire expanded its territory throughout Central America and South America, but the colonization of the United States did not include the Northeastern part of the United States. Despite the number of Hispanic people living in the United States having increased, the median income of Hispanic households has fluctuated slightly since 1990. Hispanic population in the United States Hispanic people are the second-largest ethnic group in the United States, making Spanish the second most common language spoken in the country. In 2021, about one-fifth of Hispanic households in the United States made between 50,000 to 74,999 U.S. dollars. The unemployment rate of Hispanic Americans has fluctuated significantly since 1990, but has been on the decline since 2010, with the exception of 2020 and 2021, due to the impact of the coronavirus (COVID-19) pandemic.

I study whether and how US shocks are transmitted to eight Latin American countries. US shocks are identified using sign restrictions and treated as exogenous with respect to Latin American economies. Posterior estimates for individual and average effects are constructed. US monetary shocks produce significant fluctuations in Latin America, but real demand and supply shocks do not. Floaters and currency boarders display similar output but different inflation and interest rate responses. The financial channel plays a crucial role in the transmission. US disturbances explain important portions of the variability of Latin American macrovariables, producing continental cyclical fluctuations and, in two episodes, destabilizing nominal exchange rate effects. Policy implications are discussed.

Graph and download economic data for Unemployment Rate - Hispanic or Latino (LNS14000009) from Mar 1973 to May 2025 about 16 years +, latino, hispanic, household survey, unemployment, rate, and USA.

United States Exports: FAS: Twenty Latin American Republics data was reported at 35.209 USD bn in May 2018. This records an increase from the previous number of 34.483 USD bn for Apr 2018. United States Exports: FAS: Twenty Latin American Republics data is updated monthly, averaging 13.980 USD bn from Jan 1990 (Median) to May 2018, with 341 observations. The data reached an all-time high of 36.925 USD bn in Oct 2014 and a record low of 3.543 USD bn in Apr 1990. United States Exports: FAS: Twenty Latin American Republics data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.JA009: Trade Statistics: Census Basis: By Region. Includes Argentina, Bolivia, Brazil, Chile, Colombia, Costa Rica, Cuba, Dominican Republic, Ecuador, El Salvador, Guatemala, Haiti, Honduras, Mexico, Nicaragua, Panama, Paraguay, Peru, Uruguay, and Venezuela.

The share of US residents who were born in Latin America and the Caribbean plateaued recently, after a half century of rapid growth. Our review of the evidence on the US immigration wave from the region suggests that it bears many similarities to the major immigration waves of the 19th and early 20th centuries, that the demographic and economic forces behind Latin American migrant inflows appear to have weakened across most sending countries, and that a continued slowdown of immigration from Latin America post-pandemic has the potential to disrupt labor-intensive sectors in many US regional labor markets.

The Institute for the Integration of Latin America and the Caribbean (INTAL) of the Integration and Trade Sector of the Inter-American Development Bank (IDB) conducted this survey of Latin American and Caribbean (LAC) companies that export both within the region and outside the region. The objective of the analysis is to understand how their exports are evolving, what problems they face, what measures they have taken, what public support policies they have received, and what the prospective vision of the companies is.

A part of the 2014 round of public opinion surveys implemented by LAPOP, the Dominican Republic survey was carried out between March 11th and March 25th of 2014. It is a follow-up of the national surveys of 2004,2006,2008,2010 and 2012. The 2014 survey was conducted by Vanderbilt University with the field work being carried out by Gallup Republica Dominica. The 2014 AmericasBarometer received generous support from many sources, including USAID, UNDP, IADB, Vanderbilt U., Princeton U., Université Laval, U. of Notre Dame, among others.

Abstract This article analyzes a series of reading textbooks produced in the 1940s, in the context of the North American policy for Latin America, known as the "Good Neighbor Policy". The production of these textbooks resulted from an agreement signed in 1944 between the Education Division of the Inter-American Educational Foundation, Inc. (renamed, in 1947, as Institute of Inter-American Affairs, IIAA) and the Ministry of Education from Guatemala. The goal was, however, that this series of reading textbooks was used in the other countries of South America and Central America. The analysis of the seven textbooks shows that there was a close correlation between the contents presented in them and the objectives of the cooperation programs, clearly revealing the civilization intentionality of the United States for the countries from Latin American.

Techsalerator’s Import/Export Trade Data for Latin America

Techsalerator’s Import/Export Trade Data for Latin America delivers an extensive and detailed analysis of trade activities throughout the Latin American region. This comprehensive dataset provides valuable insights into import and export transactions involving companies across various sectors within Latin America.

Coverage Across All Latin American Countries

The dataset encompasses all countries in Latin America, including:

Argentina Bolivia Brazil Chile Colombia Ecuador Guyana Paraguay Peru Suriname Uruguay Venezuela Additionally, it includes countries in Central America and the Caribbean:

Belize Costa Rica El Salvador Guatemala Honduras Nicaragua Panama Cuba Dominican Republic Haiti Jamaica Trinidad and Tobago Comprehensive Data Features

Transaction Details: The dataset provides detailed information on individual trade transactions, including product descriptions, quantities, values, and dates. This allows for precise tracking of trade flows and patterns.

Company Information: It includes specific details about the companies involved in trade, such as company names, locations, and industry sectors, facilitating targeted market research and business analysis.

Categorization: Transactions are categorized by industry sectors, product types, and trade partners. This helps in understanding market dynamics and sector-specific trends within the region.

Trade Trends: Users can analyze historical data to observe trends and shifts in trade volumes, identify emerging markets, and assess the impact of economic or political events on trade patterns.

Geographical Insights: The data offers insights into regional trade flows and the relationships between Latin American countries and their global trade partners, including major trading nations outside the region.

Regulatory and Compliance Data: The dataset includes information on trade regulations, tariffs, and compliance requirements, aiding businesses in navigating the regulatory landscape of international trade within Latin America.

Applications and Benefits

Market Research: Businesses can utilize the data to uncover new market opportunities, analyze competitive landscapes, and understand consumer demand across various Latin American countries.

Strategic Planning: Companies can leverage insights from the data to refine trade strategies, optimize supply chains, and mitigate risks associated with international trade in the region.

Economic Analysis: Analysts and policymakers can use the data to monitor economic performance, evaluate trade balances, and make informed decisions on trade policies and economic development initiatives.

Investment Decisions: Investors can assess trade trends and market potentials to make informed decisions about investments in Latin America’s diverse economies.

Techsalerator’s Import/Export Trade Data for Latin America provides a crucial resource for organizations involved in international trade, offering a detailed, reliable, and expansive view of trade activities across the Latin American continent.

China is leading the ranking by number of social media users , recording 977.29 million users. Following closely behind is India with 566.11 million users, while Seychelles is trailing the ranking with 0.12 million users, resulting in a difference of 977.17 million users to the ranking leader, China. The shown figures regarding social media users have been derived from survey data that has been processed to estimate missing demographics.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 up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).

The Latin America Big Data Analytics Market Report is Segmented by Organization Size (Small and Medium Scale, and Large-Scale Organizations), End-User Vertical (IT & Telecom, BFSI, Retail & Consumer Goods, Manufacturing, Healthcare & Life Sciences, Government, and Other End-User Verticals), and Country. The Report Offers the Market Size in Value Terms in (USD) for all the Abovementioned Segments.

Latin America data centers portfolio covers 239 existing data centers and 79 upcoming data centers spread across 18 countries in Latin America.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units and the group quarters population for states and counties..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2019-2023 American Community Survey 5-Year Estimates.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year..Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..Occupation titles and their 4-digit codes are based on the 2018 Standard Occupational Classification..Industry titles and their 4-digit codes are based on the North American Industry Classification System (NAICS). The Census industry codes for 2023 and later years are based on the 2022 revision of the NAICS. To allow for the creation of multiyear tables, industry data in the multiyear files (prior to data year 2023) were recoded to the 2022 Census industry codes. We recommend using caution when comparing data coded using 2022 Census industry codes with data coded using Census industry codes prior to data year 2023. For more information on the Census industry code changes, please visit our website at https://www.census.gov/topics/employment/industry-occupation/guidance/code-lists.html..Telephone service data are not available for certain geographic areas due to problems with data collection of this question that occurred in 2019. Both ACS 1-year and ACS 5-year files were affected. It may take several years in the ACS 5-year files until the estimates are available for the geographic areas affected..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate beca...

Investments in infrastructure have been on the development agenda of Latin American and Caribbean (LCR) countries as they move towards economic and social progress. Investing in infrastructure is investing in human welfare by providing access to and quality basic infrastructure services. Improving the performance of the electricity sector is one such major infrastructure initiative and the focus of this benchmarking data. A key initiative for both public and private owned distribution utilities has been to upgrade their efficiency as well as to increase the coverage and quality of service. In order to accomplish this goal, this initiative serves as a clearing house for information regarding the country and utility level performance of electricity distribution sector. This initiative allows countries and utilities to benchmark their performance in relation to other comparator utilities and countries. In doing so, this benchmarking data contributes to the improvement of the electricity sector by filling in knowledge gaps for the identification of the best performers (and practices) of the region. This benchmarking database consists of detailed information of 25 countries and 249 utilities in the region. The data collected for this benchmarking project is representative of 88 percent of the electrification in the region. Through in-house and field data collection, consultants compiled data based on accomplishments in output, coverage, input, labor productivity, operating performance, the quality of service, prices, and ownership. By serving as a mirror of good performance, the report allows for a comparative analysis and the ranking of utilities and countries according to the indicators used to measure performance. Although significant efforts have been made to ensure data comparability and consistency across time and utilities, the World Bank and the ESMAP do not guarantee the accuracy of the data included in this work. Acknowledgement: This benchmarking database was prepared by a core team consisting of Luis Alberto Andres (Co-Task Team Leader), Jose Luis Guasch (Co-Task Team Leader), Julio A. Gonzalez, Georgeta Dragoiu, and Natalie Giannelli. The team was benefited by data contributions from Jordan Z. Schwartz (Senior Infrastructure Specialist, LCSTR), Lucio Monari (Lead Energy Economist, LCSEG), Katharina B. Gassner (Senior Economist, FEU), and Martin Rossi (consultant). Funding was provided by the Energy Sector Management Assistance Program (ESMAP) and the World Bank. Comments and suggestion are welcome by contacting Luis Andres (landres@worldbank.org)

United States Gross Purchases by Foreigners: Latin America data was reported at 72.035 USD bn in May 2018. This records an increase from the previous number of 64.064 USD bn for Apr 2018. United States Gross Purchases by Foreigners: Latin America data is updated monthly, averaging 49.717 USD bn from Jan 2001 (Median) to May 2018, with 209 observations. The data reached an all-time high of 93.634 USD bn in Mar 2018 and a record low of 11.891 USD bn in Sep 2001. United States Gross Purchases by Foreigners: Latin America data remains active status in CEIC and is reported by US Department of Treasury. The data is categorized under Global Database’s USA – Table US.Z037: Foreign Purchases and Sales in Long Term Securities.

Trade Balance: Latin American Free Trade Area data was reported at -4.883 USD bn in May 2018. This records a decrease from the previous number of -4.168 USD bn for Apr 2018. Trade Balance: Latin American Free Trade Area data is updated monthly, averaging -4.599 USD bn from Jan 1995 (Median) to May 2018, with 281 observations. The data reached an all-time high of 186.800 USD mn in Feb 1998 and a record low of -11.197 USD bn in Aug 2006. Trade Balance: Latin American Free Trade Area data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.JA009: Trade Statistics: Census Basis: By Region. Latin American Free Trade Area includes Argentina, Bolivia, Brazil, Chile, Colombia, Ecuador, Mexico, Paraguay, Peru, Uruguay, and Venezuela.