The population density in Haiti stood at 417.4 people in 2022. In a steady upward trend, the population density rose by 274.84 people from 1961.

Historical dataset showing Haiti population density by year from 1961 to 2022.

Actual value and historical data chart for Haiti Population Density People Per Sq Km

Haiti HT: Population Density: People per Square Km data was reported at 398.448 Person/sq km in 2017. This records an increase from the previous number of 393.590 Person/sq km for 2016. Haiti HT: Population Density: People per Square Km data is updated yearly, averaging 252.406 Person/sq km from Dec 1961 (Median) to 2017, with 57 observations. The data reached an all-time high of 398.448 Person/sq km in 2017 and a record low of 143.083 Person/sq km in 1961. Haiti HT: Population Density: People per Square Km data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Haiti – Table HT.World Bank.WDI: Population and Urbanization Statistics. Population density is midyear population divided by land area in square kilometers. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently settled in the country of asylum, who are generally considered part of the population of their country of origin. Land area is a country's total area, excluding area under inland water bodies, national claims to continental shelf, and exclusive economic zones. In most cases the definition of inland water bodies includes major rivers and lakes.; ; Food and Agriculture Organization and World Bank population estimates.; Weighted average;

Gathered for the GAFSP Open Data Services activity. This file contains summary statistics of population and population density by department in 2015, estimated by Institut Haïtien de Statistique et d’Informatique (IHSI) / Direction des Statistiques Démographiques et Sociales (DSDS) and published in "Population totale, de 18 ans et plus, ménages et densités estimés en 2015."

Density of physicians of Haiti shot up by 175.58% from 0.1 number per thousand population in 2015 to 0.2 number per thousand population in 2018. Since the 42.15% slump in 2011, density of physicians soared by 69.29% in 2018.

Comprehensive socio-economic dataset for Haiti including population demographics, economic indicators, geographic data, and social statistics. This dataset covers key metrics such as GDP, population density, area, capital city, and regional classifications.

In 2022, Haiti ranked first by population density among the 21 countries presented in the ranking. Haiti's population density amounted to ****** people, while El Salvador and the Dominican Republic, the second and third countries, had records amounting to ****** people and ****** people, respectively.

About this dataset

Context

This list ranks the 33 cities in the Miami-Dade County, FL by Haitian population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:

• 2019-2023 American Community Survey 5-Year Estimates
• 2014-2018 American Community Survey 5-Year Estimates
• 2009-2013 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Haitian Population: This column displays the rank of city in the Miami-Dade County, FL by their Haitian population, using the most recent ACS data available.
• City: The City for which the rank is shown in the previous column.
• Haitian Population: The Haitian population of the city is shown in this column.
• % of Total City Population: This shows what percentage of the total city population identifies as Haitian. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Miami-Dade County Haitian Population: This tells us how much of the entire Miami-Dade County, FL Haitian population lives in that city. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: This column displays the rank trend across the last 5 years.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Total population by gender, total population in different geographical units , number of households , area of different geographical units. P-coded file includes: Estimates at administrative level 3 for: total population, male, female, over 18 yrs, no of households, area in square km, density per square km.

These population statistics tables are suitable for database or GIS linkage to the Haiti Administrative Boundary levels 0 - 3 shapefiles and geodatabase available on HDX.

This bar chart displays population (people) by date using the aggregation sum in Haiti. The data is filtered where the date is 2021. The data is about countries per year.

SpatioTemporal Asset Catalog (STAC) Item - hti_pop_2028_CN_100m_R2025A_v1 in HTI

This bar chart displays population (people) by ISO 3 country code using the aggregation sum in Haiti. The data is filtered where the date is 2021. The data is about countries per year.

This bar chart displays female population (people) by date using the aggregation sum in Haiti. The data is filtered where the date is 2023. The data is about countries per year.

HT：人口密度：每平方公里人口在12-01-2017达398.448Person/sq km，相较于12-01-2016的393.590Person/sq km有所增长。HT：人口密度：每平方公里人口数据按年更新，12-01-1961至12-01-2017期间平均值为252.406Person/sq km，共57份观测结果。该数据的历史最高值出现于12-01-2017，达398.448Person/sq km，而历史最低值则出现于12-01-1961，为143.083Person/sq km。CEIC提供的HT：人口密度：每平方公里人口数据处于定期更新的状态，数据来源于World Bank，数据归类于全球数据库的海地 – 表 HT.世行.WDI：人口和城市化进程统计。

This bar chart displays urban population (people) by ISO 3 country code using the aggregation sum in Haiti. The data is filtered where the date is 2021. The data is about countries per year.

Introduction. Gains to ensure global healthcare access are at risk of stalling because some old resilient challenges require new solutions. Our objective was to identify determinants of intended versus actual care-seeking behaviors in a pluralistic healthcare system that is reliant on both conventional and non-conventional providers and discover opportunities to catalyze improved healthcare access. Methods. A cross-sectional study was conducted among households with children less than 5 years of age in Haiti. Households were randomly sampled geographically with stratifications for population density. Household questionnaires with standardized cases (intentions) were compared to self-recall of health events (behaviors). The connectedness of households and their providers was determined by network analysis. Results. A total of 568 households (incorporating 2900 members) and 65 providers were enrolled. Households reported 636 health events in the prior month. Households sought care for 35% (n=220) and treated with home remedies for 44% (n=277). The odds of seeking care increased 217% for severe events (aOR=3.17; 95%CI 1.99-5.05; p< 0.001). The odds of seeking care from a conventional provider increased by 37% with increasing distance (aOR=1.37; 95%CI 1.06-1.79; p=0.016). Despite stating an intention to seek care from conventional providers, there was a lack of congruence in practice that favored non-conventional providers (McNemar’s Chi-squared Test p<0.001). Care was sought from primary providers for 68% (n=150) of cases within a three-tiered network; 25% (n=38/150) were non-conventional. Conclusion. Addressing geographic barriers, possibly with technology solutions, should be prioritized to meet healthcare seeking intentions while developing approaches to connect non-conventional providers into healthcare networks when geographic barriers cannot be overcome.

This bar chart displays birth rate (per 1,000 people) by capital city using the aggregation average, weighted by population in Haiti. The data is filtered where the date is 2021. The data is about countries per year.

SpatioTemporal Asset Catalog (STAC) Item - hti_pop_2028_CN_1km_R2025A_UA_v1 in HTI

This bar chart displays fertility rate (births per woman) by ISO 3 country code using the aggregation average, weighted by population female in Haiti. The data is filtered where the date is 2021. The data is about countries per year.