The population density in Costa Rica was 99.53 people in 2022. In a steady upward trend, the population density rose by 72.54 people from 1961.

Costa Rica CR: Population Density: Inhabitants per sq km data was reported at 102.100 Person in 2022. This records an increase from the previous number of 101.120 Person for 2021. Costa Rica CR: Population Density: Inhabitants per sq km data is updated yearly, averaging 83.800 Person from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 102.100 Person in 2022 and a record low of 59.330 Person in 1990. Costa Rica CR: Population Density: Inhabitants per sq km data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Costa Rica – Table CR.OECD.GGI: Social: Demography: OECD Member: Annual.

Population density (people per sq. km of land area) in Costa Rica was reported at 99.53 sq. Km in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Costa Rica - Population density (people per sq. km) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

Costa Rica: Population density, in people per sq. mile: The latest value from is people per sq. mile, unavailable from people per sq. mile in . In comparison, the world average is 0 people per sq. mile, based on data from countries. Historically, the average for Costa Rica from to is people per sq. mile. The minimum value, people per sq. mile, was reached in while the maximum of people per sq. mile was recorded in .

Population density of Costa Rica went up by 0.43% from 99.1 people per sq. km in 2021 to 99.5 people per sq. km in 2022. Since the 1.17% improve in 2012, population density jumped by 8.96% in 2022. Population density is midyear population divided by land area in square kilometers.

The population of the world, allocated to 1 arcsecond blocks. This refines CIESIN’s Gridded Population of the World project, using machine learning models on high-resolution worldwide Digital Globe satellite imagery.

The density of dentists in Costa Rica increased from *** to **** professionals per 10,000 people from 2012 to 2022. During the last year depicted, the density of dentists estimated for the country was the highest in the analyzed period.

Comprehensive socio-economic dataset for Costa Rica 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, the population density in Nicaragua remained nearly unchanged at around 55.93 inhabitants per square kilometer. Still, the population density reached its highest value in the observed period in 2022. Population density refers to the average number of residents per square kilometer of land across a given country or region. It is calculated by dividing the total midyear population by the total land area.Find more key insights for the population density in countries like Belize and Costa Rica.

The population density in Honduras amounted to 93.52 people in 2022. In a steady upward trend, the population density rose by 74.56 people from 1961.

Costa Rica's Density of new businesses is 2.6[Per 1,000 Population] which is the 55th highest in the world ranking. Transition graphs on Density of new businesses in Costa Rica and comparison bar charts (Japan vs. Costa Rica), (Norway vs. Ireland vs. Costa Rica) are used for easy understanding. Various data can be downloaded and output in csv format for use in EXCEL free of charge.

人口密度：每平方公里人口在12-01-2021达100.939Person/sq km，相较于12-01-2020的100.335Person/sq km有所增长。人口密度：每平方公里人口数据按年更新，12-01-1961至12-01-2021期间平均值为63.443Person/sq km，共61份观测结果。该数据的历史最高值出现于12-01-2021，达100.939Person/sq km，而历史最低值则出现于12-01-1961，为27.343Person/sq km。CEIC提供的人口密度：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哥斯达黎加 – Table CR.World Bank.WDI: Population and Urbanization Statistics。

Resource specialists persist on a narrow range of resources. Consequently, the abundance of key resources should drive vital rates, individual fitness and population viability. While Neotropical forests feature both high levels of biodiversity and numbers of specialist species, no studies have directly evaluated how the variation of key resources affects the fitness of a tropical specialist. Here, we quantified the effect of key tree species density and forest cover on the fitness of three-toed sloths (Bradypus variegatus), an arboreal folivore strongly associated with Cecropia trees, in Costa Rica using a multi-year demographic, genetic and space use dataset. We found that the density of Cecropia trees was strongly and positively related to both adult survival and reproductive output. A matrix model parameterized with Cecropia-demography relationships suggested positive growth of sloth populations, even at low densities of Cecropia (0.7 trees/ha). Our study shows the first direct link between the density of a key resource to demographic consequences of a tropical specialist, underscoring the sensitivity of tropical specialists to the loss of a single key resource, but also point to targeted conservation measures to increase that resource. Finally, our study reveals that previously disturbed and regenerating environments can support viable populations of tropical specialists.

Dogs (Canis lupus familiaris) are one of the most common pets around the world but ownership patterns and human-dog interactions have been changing, particularly in developing nations. We conducted household surveys in Costa Rica to characterize dog ownership, the owned dog population, where dogs were confined at night and in the morning, and behaviors regarding selected dog care issues. We also compared these results to similar questionnaires used in Costa Rica over the past 20 years. We found 76% of households in Costa Rica owned at least one dog and on average there were about 1.4 dogs owned per household. These dog ownership rates are higher than previous estimates. The probability of owning a dog was highest on farms and lowest in single family dwellings without a yard, higher among respondents that owned their homes and decreasing with increasing human population density The total number of owned dogs in Costa Rica was estimated to be 2,222,032 (95% confidence intervals: 1,981,497–2,503,751). The sterilization rate for homed dogs in 2020 was approximately 62% (females: 67%, males: 61%) which is higher than the 18% of owned dogs that were sterilized in a 2003 survey. Overall, only 1.2% (95% CI: 0.3–2.5%) of owned dogs slept on the street with a slightly higher proportion on the street at 8 am. The number of owned dogs roaming the streets at night nation-wide was estimated to be 27,208 (95% CI: 7,557–56,619) compared to 43,142 (95% CI: 20,118–73,618) on the street at 8 am. The number of unowned free-roaming dogs in Costa Rica has never been estimated but we can generate some idea of the size of the unowned dog population by determining the proportion of free-roaming dogs on the street wearing collars. There was a negative relationship between human population density and owned dogs being on the street meaning fewer dogs roam the streets in highly populated areas compared to less populated areas. Overall, we identify trends against which future progress can be measured and provide information that are critical in designing effective humane dog management programs in Costa Rica in the future.

The density of dentists in Panama fluctuated between *** and *** professionals per 10,000 people between 2010 and 2022. During the last year depicted, there were an estimated *** dentists per 10,000 people in the country.

The Smokies ATBI, a project of Discover Life in America, seeks to catalog the estimated 60,000-80,000 species of living organisms in Great Smoky Mountains National Park. A brainchild of renowned ecologist Dan Janzen, the first ATBI was supposed to take place in the rainforests of northwest Costa Rica. Due to bureaucratic difficulties, however, the location was changed to the Great Smoky Mountains National Park.The idea behind an All Taxa Biodiversity Inventory (ATBI) is simple. If we want to be good stewards of our environment and keep the world around us healthy and vibrant, we need to understand the web of biodiversity. The information we need—how many species live in an environment, what jobs these species do and how they interact with each other—is largely unknown.Although most explanations of an ATBI stress that it is an effort to identify all the species of life in a given area, that is not its only goal. An ATBI is more than just a checklist of species names. It is a complex and living database of species locations, habitats, genetic diversity, population density, symbiotic relationships and predator-prey interactions. It is a cooperative effort between expert scientists specializing in all different forms of life. It is a way to discover new species in need of protection, identify new threats in time to act and understand how to protect a complex and valuable ecosystem like the Smoky Mountains.The corresponding Integration of Resource Management Applications (IRMA) NPS Data Store reference is Great Smoky Mountains National Park All Taxa Biodiversity Index Plots.

コスタリカの人口密度を国土面積と総人口から算出し最新の推移グラフや日本との比較表、世界人口密度ランキング(狭い)等を用い、人口密度が低いのか高いのかを説明しています。各種データはcsv出力・ダウンロードも可能です。（EXCELでも使用可能）元データのソースはworldbank.orgで、当サイト(GraphToChart)が独自に計算・算出し全て無料で利用可能ですので、研究や分析レポートにお役立て頂ければ幸いです。

The Smokies ATBI, a project of Discover Life in America, seeks to catalog the estimated 60,000-80,000 species of living organisms in Great Smoky Mountains National Park. A brainchild of renowned ecologist Dan Janzen, the first ATBI was supposed to take place in the rainforests of northwest Costa Rica. Due to bureaucratic difficulties, however, the location was changed to the Great Smoky Mountains National Park.The idea behind an All Taxa Biodiversity Inventory (ATBI) is simple. If we want to be good stewards of our environment and keep the world around us healthy and vibrant, we need to understand the web of biodiversity. The information we need—how many species live in an environment, what jobs these species do and how they interact with each other—is largely unknown.Although most explanations of an ATBI stress that it is an effort to identify all the species of life in a given area, that is not its only goal. An ATBI is more than just a checklist of species names. It is a complex and living database of species locations, habitats, genetic diversity, population density, symbiotic relationships and predator-prey interactions. It is a cooperative effort between expert scientists specializing in all different forms of life. It is a way to discover new species in need of protection, identify new threats in time to act and understand how to protect a complex and valuable ecosystem like the Smoky Mountains.The corresponding Integration of Resource Management Applications (IRMA) NPS Data Store reference is Great Smoky Mountains National Park All Taxa Biodiversity Index Plots.

The Smokies ATBI, a project of Discover Life in America, seeks to catalog the estimated 60,000-80,000 species of living organisms in Great Smoky Mountains National Park. A brainchild of renowned ecologist Dan Janzen, the first ATBI was supposed to take place in the rainforests of northwest Costa Rica. Due to bureaucratic difficulties, however, the location was changed to the Great Smoky Mountains National Park.The idea behind an All Taxa Biodiversity Inventory (ATBI) is simple. If we want to be good stewards of our environment and keep the world around us healthy and vibrant, we need to understand the web of biodiversity. The information we need—how many species live in an environment, what jobs these species do and how they interact with each other—is largely unknown.Although most explanations of an ATBI stress that it is an effort to identify all the species of life in a given area, that is not its only goal. An ATBI is more than just a checklist of species names. It is a complex and living database of species locations, habitats, genetic diversity, population density, symbiotic relationships and predator-prey interactions. It is a cooperative effort between expert scientists specializing in all different forms of life. It is a way to discover new species in need of protection, identify new threats in time to act and understand how to protect a complex and valuable ecosystem like the Smoky Mountains.The corresponding Integration of Resource Management Applications (IRMA) NPS Data Store reference is Great Smoky Mountains National Park All Taxa Biodiversity Index Plots.