🇵🇱 폴란드 English Dataset "Population distribution - demographics 2011. (grid)", represents the distribution of the population in relation to the cells of the kilometre grid. Population data were compiled according to the national definition.

Thailand population density for 2021 was 140.15, a 0.18% increase from 2020.

<ul style='margin-top:20px;'>

<li>Thailand population density for 2020 was <strong>139.90</strong>, a <strong>0.24% increase</strong> from 2019.</li>
<li>Thailand population density for 2019 was <strong>139.58</strong>, a <strong>0.25% increase</strong> from 2018.</li>
<li>Thailand population density for 2018 was <strong>139.22</strong>, a <strong>0.32% increase</strong> from 2017.</li>
</ul>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.

Netherlands NL: Population Density: People per Square Km data was reported at 508.544 Person/sq km in 2017. This records an increase from the previous number of 505.501 Person/sq km for 2016. Netherlands NL: Population Density: People per Square Km data is updated yearly, averaging 439.837 Person/sq km from Dec 1961 (Median) to 2017, with 57 observations. The data reached an all-time high of 508.544 Person/sq km in 2017 and a record low of 344.749 Person/sq km in 1961. Netherlands NL: 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 Netherlands – Table NL.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;

Chile population density for 2021 was 26.22, a 1% increase from 2020.

<ul style='margin-top:20px;'>

<li>Chile population density for 2020 was <strong>25.96</strong>, a <strong>1.37% increase</strong> from 2019.</li>
<li>Chile population density for 2019 was <strong>25.61</strong>, a <strong>1.81% increase</strong> from 2018.</li>
<li>Chile population density for 2018 was <strong>25.15</strong>, a <strong>1.81% increase</strong> from 2017.</li>
</ul>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.

United States US: Population Density: People per Square Km data was reported at 35.608 Person/sq km in 2017. This records an increase from the previous number of 35.355 Person/sq km for 2016. United States US: Population Density: People per Square Km data is updated yearly, averaging 26.948 Person/sq km from Dec 1961 (Median) to 2017, with 57 observations. The data reached an all-time high of 35.608 Person/sq km in 2017 and a record low of 20.056 Person/sq km in 1961. United States US: 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 United States – Table US.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;

In 2024, the share of the population in Taiwan aged 65 and older accounted for approximately 19.2 percent of the total population. While the share of old people on the island increased gradually over recent years, the percentage of the working-age population and the children have both declined. Taiwan’s aging population With one of the lowest fertility rates in the world and a steadily growing life expectancy, the average age of Taiwan’s population is increasing quickly, and the share of people aged 65 and above is expected to reach around 38.4 percent of the total population in 2050. This development is also reflected in Taiwan’s population pyramid, which shows that the size of the youngest age group is only half of the size of age groups between 40 and 60 years. The rapid aging of the populations puts a heavy burden on the social insurance system. Old-age dependency is expected to reach more than 70 percent by 2050, meaning that by then three people of working age will have to support two elders, compared to only one elder supported by four working people today. Aging societies in East Asia Today, many countries in East Asia have very low fertility rates and face the challenges of aging societies. This is especially true among those countries that experienced high economic growth in the past, which often resulted in quickly receding birth rates. Japan was one of the first East Asian countries witnessing this demographic change, as is reflected in its high median age. South Korea had the lowest fertility rate of all Asian countries in recent years, and with China, one of the largest populations on earth joined the ranks of quickly aging societies.

The files contain the population characteristics (total, gender and/or age groups) by statistical sector in Belgium on January 1st, according to the Belgian definition of the population. The Belgian definition does not take into account the 12-months criterion and excludes asylum seekers. More information at https://ec.europa.eu/eurostat/cache/metadata/en/demo_pop_esms.htm#unit_measure1589188532500.

Costa Rica CR: Population Density: People per Square Km data was reported at 100.939 Person/sq km in 2021. This records an increase from the previous number of 100.335 Person/sq km for 2020. Costa Rica CR: Population Density: People per Square Km data is updated yearly, averaging 63.443 Person/sq km from Dec 1961 (Median) to 2021, with 61 observations. The data reached an all-time high of 100.939 Person/sq km in 2021 and a record low of 27.343 Person/sq km in 1961. Costa Rica CR: 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 Costa Rica – Table CR.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;

Thailand TH: Population Density: People per Square Km data was reported at 135.132 Person/sq km in 2017. This records an increase from the previous number of 134.791 Person/sq km for 2016. Thailand TH: Population Density: People per Square Km data is updated yearly, averaging 109.212 Person/sq km from Dec 1961 (Median) to 2017, with 57 observations. The data reached an all-time high of 135.132 Person/sq km in 2017 and a record low of 55.245 Person/sq km in 1961. Thailand TH: 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 Thailand – Table TH.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;

About this dataset

Context

The dataset tabulates the population of Baton Rouge by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Baton Rouge. The dataset can be utilized to understand the population distribution of Baton Rouge by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Baton Rouge. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Baton Rouge.

Key observations

Largest age group (population): Male # 20-24 years (13,694) | Female # 20-24 years (15,478). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Baton Rouge population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Baton Rouge is shown in the following column.
• Population (Female): The female population in the Baton Rouge is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Baton Rouge for each age group.

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/.

Recommended for further research

This dataset is a part of the main dataset for Baton Rouge Population by Gender. You can refer the same here

Historical chart and dataset showing Vietnam population density by year from 1961 to 2022.

Estonia EE: Population Density: People per Square Km data was reported at 31.033 Person/sq km in 2017. This records a decrease from the previous number of 31.040 Person/sq km for 2016. Estonia EE: Population Density: People per Square Km data is updated yearly, averaging 32.746 Person/sq km from Dec 1961 (Median) to 2017, with 57 observations. The data reached an all-time high of 37.018 Person/sq km in 1990 and a record low of 28.900 Person/sq km in 1961. Estonia EE: 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 Estonia – Table EE.World Bank: 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;

Japan population density for 2022 was 343.28, a 0.44% decline from 2021.

<ul style='margin-top:20px;'>

<li>Japan population density for 2021 was <strong>344.81</strong>, a <strong>0.46% decline</strong> from 2020.</li>
<li>Japan population density for 2020 was <strong>346.40</strong>, a <strong>0.29% decline</strong> from 2019.</li>
<li>Japan population density for 2019 was <strong>347.42</strong>, a <strong>0.14% decline</strong> from 2018.</li>
</ul>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.

Mexico population density for 2022 was 66.16, a 0.76% increase from 2021.

<ul style='margin-top:20px;'>

<li>Mexico population density for 2021 was <strong>65.66</strong>, a <strong>0.67% increase</strong> from 2020.</li>
<li>Mexico population density for 2020 was <strong>65.23</strong>, a <strong>0.82% increase</strong> from 2019.</li>
<li>Mexico population density for 2019 was <strong>64.69</strong>, a <strong>0.95% increase</strong> from 2018.</li>
</ul>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.

About this dataset

Context

The dataset tabulates the population of Moscow by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Moscow. The dataset can be utilized to understand the population distribution of Moscow by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Moscow. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Moscow.

Key observations

Largest age group (population): Male # 60-64 years (22) | Female # 85+ years (17). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Moscow population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Moscow is shown in the following column.
• Population (Female): The female population in the Moscow is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Moscow for each age group.

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/.

Recommended for further research

This dataset is a part of the main dataset for Moscow Population by Gender. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Cairo by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Cairo. The dataset can be utilized to understand the population distribution of Cairo by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Cairo. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Cairo.

Key observations

Largest age group (population): Male # 5-9 years (541) | Female # 10-14 years (479). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Cairo population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Cairo is shown in the following column.
• Population (Female): The female population in the Cairo is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Cairo for each age group.

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/.

Recommended for further research

This dataset is a part of the main dataset for Cairo Population by Gender. You can refer the same here

Historical chart and dataset showing World population density by year from 1961 to 2022.

About this dataset

Context

The dataset tabulates the population of United States by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for United States. The dataset can be utilized to understand the population distribution of United States by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in United States. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for United States.

Key observations

Largest age group (population): Male # 25-29 years (11.57 million) | Female # 30-34 years (11.18 million). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the United States population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the United States is shown in the following column.
• Population (Female): The female population in the United States is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in United States for each age group.

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/.

Recommended for further research

This dataset is a part of the main dataset for United States Population by Gender. You can refer the same here

this project graph is : ourworldindata

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F16731800%2Ff7760f5a993dbf3c849819da7f49b423%2FPopulation-cartogram_World.png?generation=1709236376179460&alt=media" alt="">

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For the vast majority of human existence, our global population remained a mere fraction of what it is today. However, the last few centuries have borne witness to an extraordinary transformation in human demography. In the year 1800, the global population stood at a modest one billion individuals. Fast forward to the present day, and we find ourselves amidst a staggering figure of over 8 billion people inhabiting our planet.

Yet, despite this exponential growth trajectory, demographers now project a fascinating shift on the horizon: the expectation that global population growth will plateau by the close of this century.

Within the vast repository of Our World in Data, we delve deeply into the intricacies of population dynamics, offering a comprehensive array of data, charts, and analyses elucidating the nuanced changes in population growth. From the geographical distribution of populations to temporal shifts and future projections, our platform serves as a rich tapestry of insights into this paramount aspect of human civilization.

One of the most illuminating tools at our disposal is the population cartogram—a unique visualization method that transcends traditional geographical maps to provide a more accurate depiction of global population distribution. Unlike conventional maps, which delineate territories based solely on landmass, population cartograms offer a perspective where countries are resized according to their respective populations.

In our exploration of the population cartogram for the year 2018, we uncover a myriad of revelations. Small nations characterized by high population densities manifest as enlarged entities, accentuating their significance on the global stage. Bangladesh, Taiwan, and the Netherlands emerge prominently, their amplified proportions underscoring their demographic density. Conversely, vast territories with comparatively sparse populations undergo a visual reduction in size. Countries like Canada, Mongolia, Australia, and Russia, despite their expansive landmasses, shrink in relative stature, highlighting the intriguing interplay between territory and population.

This innovative approach to mapping not only challenges conventional perceptions but also provides invaluable insights into the complex mosaic of human settlement patterns and demographic trends. By transcending the limitations of traditional cartography, population cartograms offer a nuanced lens through which to perceive the evolving dynamics of our global community.

To delve deeper into the nuances of this population cartogram and its implications, we invite you to explore our comprehensive article dedicated to this fascinating subject. Within its pages, you will find a detailed analysis, accompanied by captivating visuals and insightful commentary, elucidating the significance of population cartograms in understanding our world.

At Our World in Data, we remain committed to unraveling the complexities of global population dynamics, offering a platform that fosters informed discourse and deepens our understanding of the forces shaping our collective future. Join us on this illuminating journey as we navigate the ever-changing landscape of human demography, charting a course towards a more enlightened tomorrow.

Mozambique population density for 2022 was 41.53, a 2.99% increase from 2021.

<ul style='margin-top:20px;'>

<li>Mozambique population density for 2021 was <strong>40.32</strong>, a <strong>3% increase</strong> from 2020.</li>
<li>Mozambique population density for 2020 was <strong>39.15</strong>, a <strong>3.01% increase</strong> from 2019.</li>
<li>Mozambique population density for 2019 was <strong>38.00</strong>, a <strong>2.98% increase</strong> from 2018.</li>
</ul>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.