This statistic shows the biggest cities in Costa Rica in 2020. In 2020, approximately 1.45 million people lived in San José , making it the biggest city in Costa Rica.

Chart and table of population level and growth rate for the San Jose, Costa Rica metro area from 1950 to 2025. United Nations population projections are also included through the year 2035.

This dataset is about countries and is filtered where the country includes Costa Rica, featuring 5 columns: capital city, continent, country, currency, and political leader. The preview is ordered by population (descending).

Carmen is a city. It is in Costa Rica and has a population of 15,920 people.

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.

Cities can be tremendously efficient. It is easier to provide water and sanitation to people living closer together, while access to health, education, and other social and cultural services is also much more readily available. However, as cities grow, the cost of meeting basic needs increases, as does the strain on the environment and natural resources. Data on urbanization, traffic and congestion, and air pollution are from the United Nations Population Division, World Health Organization, International Road Federation, World Resources Institute, and other sources.

According to a study that surveyed startup companies based in Central America, San José, the capital of Costa Rica, had the startup ecosystem with the best score in terms of size, quality, and business climate. Overall, San José's startup ecosystem was rated with 0.74 points, of which 0.52 were awarded in the area of business environment. Panama City received the second best startup ecosystem score, at a total of 0.41 points.

This raster file represents a land cover classification in Limon based off satellite imagery from January 31, 2015. This land cover classification was used in the following report: Mapping Land Cover in Secondary Cities in Central America. This work was initiated as an analytical effort to fill a gap on spatial form of secondary cities. While this is an independent output, this work is tightly linked to the work done under the Central America Urbanization Review. The analysis here described, was used as an input in the definition of urban agglomerations used in the Urbanization Review. The detailed analysis on secondary cities is seen as a complement to the work carried out in the Urbanization Review, in that it zooms into what is happening within a set of cities. The Urbanization Review instead provides a broader look at the system of cities in Central America, highlighting the key bottlenecks the regions faces in moving toward more inclusive, productive, and resilient cities. The Urbanization Review can be found here: http://documents.worldbank.org/curated/en/134151467994680764/pdf/106268-...

This raster file represents a land cover classification in San Isidro based off satellite imagery from December 23, 2014. This land cover classification was used in the following report: Mapping Land Cover in Secondary Cities in Central America. This work was initiated as an analytical effort to fill a gap on spatial form of secondary cities. While this is an independent output, this work is tightly linked to the work done under the Central America Urbanization Review. The analysis here described, was used as an input in the definition of urban agglomerations used in the Urbanization Review. The detailed analysis on secondary cities is seen as a complement to the work carried out in the Urbanization Review, in that it zooms into what is happening within a set of cities. The Urbanization Review instead provides a broader look at the system of cities in Central America, highlighting the key bottlenecks the regions faces in moving toward more inclusive, productive, and resilient cities. The Urbanization Review can be found here: http://documents.worldbank.org/curated/en/134151467994680764/pdf/106268-...

Provinces of Costa Rica. name, type, Area, capital city, Country, continent, population

Of the cities who have experienced cost of living increases, the top three are located in Latin America, two in Mexico and one in Costa Rica. Each moved 38, 39, and 48 spots in the ranking respectively since 2022. Due to increases in interest rates, the Mexican peso and Costa Rican colón have both appreciated against the U.S. Dollar. Comparatively, Singapore and Zurich were ranked the most expensive cities in the world.

This bar chart displays alternative and nuclear energy (% of total energy use) by capital city using the aggregation average and is filtered where the country is Costa Rica. The data is about countries per year.

Air Quality Forecast: Contaminant Concentration: Ozone: Costa Rica: San Jose data was reported at 48.532 mcg/Cub m in 31 Mar 2025. This records an increase from the previous number of 45.844 mcg/Cub m for 30 Mar 2025. Air Quality Forecast: Contaminant Concentration: Ozone: Costa Rica: San Jose data is updated daily, averaging 28.011 mcg/Cub m from Oct 2019 (Median) to 31 Mar 2025, with 1986 observations. The data reached an all-time high of 63.251 mcg/Cub m in 22 Feb 2024 and a record low of 8.512 mcg/Cub m in 13 Jun 2022. Air Quality Forecast: Contaminant Concentration: Ozone: Costa Rica: San Jose data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s Costa Rica – Table CAMS.AQF: Air Quality Forecast: Contaminant Concentration: Ozone: by Cities. [COVID-19-IMPACT]

This dataset is about countries in Costa Rica per year, featuring 4 columns: capital city, country, date, and electricity production from coal sources. The preview is ordered by date (descending).

Palmar is a city. It is in Costa Rica and has a population of 4,657 people.

Objective: To analyze the relationship between economic conditions and mortality in cities of Latin America.Methods: We analyzed data from 340 urban areas in ten countries: Argentina, Brazil, Chile, Colombia, Costa Rica, Guatemala, Mexico, Panama, Peru, and El Salvador. We used panel models adjusted for space‐invariant and time‐invariant factors to examine whether changes in area gross domestic product (GDP) per capita were associated with changes in mortality.Results: We find procyclical oscillations in mortality (i.e., higher mortality with higher GDP per capita) for total mortality, female population, populations of 0–9 and 45+ years, mortality due to cardiovascular diseases, malignant neoplasms, diabetes mellitus, respiratory infections and road traffic injuries. Homicides appear countercyclical, with higher levels at lower GDP per capita.Conclusions: Our results reveal large heterogeneity, but in our sample of cities, for specific population groups and causes of death, mortality oscillates procyclically, increasing when GDP per capita increases. In contrast we find few instances of countercyclical mortality.

Nicoya is a city. It is in Costa Rica and has a population of 15,315 people.

Abstract

Polluted air is a major health hazard in developing countries. Improvements in pollution monitoring and statistical techniques during the last several decades have steadily enhanced the ability to measure the health effects of air pollution. Current methods can detect significant increases in the incidence of cardiopulmonary and respiratory diseases, coughing, bronchitis, and lung cancer, as well as premature deaths from these diseases resulting from elevated concentrations of ambient Particulate Matter (Holgate 1999).

Scarce public resources have limited the monitoring of atmospheric particulate matter (PM) concentrations in developing countries, despite their large potential health effects. As a result, policymakers in many developing countries remain uncertain about the exposure of their residents to PM air pollution. The Global Model of Ambient Particulates (GMAPS) is an attempt to bridge this information gap through an econometrically estimated model for predicting PM levels in world cities (Pandey et al. forthcoming).

The estimation model is based on the latest available monitored PM pollution data from the World Health Organization, supplemented by data from other reliable sources. The current model can be used to estimate PM levels in urban residential areas and non-residential pollution hotspots. The results of the model are used to project annual average ambient PM concentrations for residential and non-residential areas in 3,226 world cities with populations larger than 100,000, as well as national capitals.

The study finds wide, systematic variations in ambient PM concentrations, both across world cities and over time. PM concentrations have risen at a slower rate than total emissions. Overall emission levels have been rising, especially for poorer countries, at nearly 6 percent per year. PM concentrations have not increased by as much, due to improvements in technology and structural shifts in the world economy. Additionally, within-country variations in PM levels can diverge greatly (by a factor of 5 in some cases), because of the direct and indirect effects of geo-climatic factors.

The primary determinants of PM concentrations are the scale and composition of economic activity, population, the energy mix, the strength of local pollution regulation, and geographic and atmospheric conditions that affect pollutant dispersion in the atmosphere.

Geographic coverage

The database covers the following countries: Afghanistan Albania Algeria Andorra Angola
Antigua and Barbuda Argentina
Armenia Australia
Austria Azerbaijan
Bahamas, The
Bahrain Bangladesh
Barbados
Belarus Belgium Belize
Benin
Bhutan
Bolivia Bosnia and Herzegovina
Brazil
Brunei
Bulgaria
Burkina Faso
Burundi Cambodia
Cameroon
Canada
Cayman Islands
Central African Republic
Chad
Chile
China
Colombia
Comoros Congo, Dem. Rep.
Congo, Rep. Costa Rica
Cote d'Ivoire
Croatia Cuba
Cyprus
Czech Republic
Denmark Dominica
Dominican Republic
Ecuador Egypt, Arab Rep.
El Salvador Eritrea Estonia Ethiopia
Faeroe Islands
Fiji
Finland France
Gabon
Gambia, The Georgia Germany Ghana
Greece
Grenada Guatemala
Guinea
Guinea-Bissau
Guyana
Haiti
Honduras
Hong Kong, China
Hungary Iceland India
Indonesia
Iran, Islamic Rep.
Iraq
Ireland Israel
Italy
Jamaica Japan
Jordan
Kazakhstan
Kenya
Korea, Dem. Rep.
Korea, Rep. Kuwait
Kyrgyz Republic Lao PDR Latvia
Lebanon Lesotho Liberia Liechtenstein
Lithuania
Luxembourg
Macao, China
Macedonia, FYR
Madagascar
Malawi
Malaysia
Maldives
Mali
Mauritania
Mexico
Moldova Mongolia
Morocco Mozambique
Myanmar Namibia Nepal
Netherlands Netherlands Antilles
New Caledonia
New Zealand Nicaragua
Niger
Nigeria Norway
Oman
Pakistan
Panama
Papua New Guinea
Paraguay
Peru
Philippines Poland
Portugal
Puerto Rico Qatar
Romania Russian Federation
Rwanda
Sao Tome and Principe
Saudi Arabia
Senegal Sierra Leone
Singapore
Slovak Republic Slovenia
Solomon Islands Somalia South Africa
Spain
Sri Lanka
St. Kitts and Nevis St. Lucia
St. Vincent and the Grenadines
Sudan
Suriname
Swaziland
Sweden
Switzerland Syrian Arab Republic
Tajikistan
Tanzania
Thailand
Togo
Trinidad and Tobago Tunisia Turkey
Turkmenistan
Uganda
Ukraine United Arab Emirates
United Kingdom
United States
Uruguay Uzbekistan
Vanuatu Venezuela, RB
Vietnam Virgin Islands (U.S.)
Yemen, Rep. Yugoslavia, FR (Serbia/Montenegro)
Zambia
Zimbabwe

Kind of data

Observation data/ratings [obs]

Mode of data collection

Other [oth]

最大城市人口占城市总人口的百分比在12-01-2023达34.658%，相较于12-01-2022的34.571%有所增长。最大城市人口占城市总人口的百分比数据按年更新，12-01-1960至12-01-2023期间平均值为46.729%，共64份观测结果。该数据的历史最高值出现于12-01-1963，达51.171%，而历史最低值则出现于12-01-2020，为34.420%。CEIC提供的最大城市人口占城市总人口的百分比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哥斯达黎加 – Table CR.World Bank.WDI: Population and Urbanization Statistics。

Daniel Flores is a city. It is in Costa Rica and has a population of 10,028 people.

Bagaces is a city. It is in Costa Rica and has a population of 4,108 people.