53 datasets found
  1. A

    Pakistan & India: High Resolution Population Density Maps

    • data.amerigeoss.org
    geotiff
    Updated Oct 22, 2024
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    UN Humanitarian Data Exchange (2024). Pakistan & India: High Resolution Population Density Maps [Dataset]. https://data.amerigeoss.org/es/dataset/pakistan-india_all-files-high-resolution-population-density-maps
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    geotiff(548772550), geotiff(548707630), geotiff(548584566), geotiff(548860260), geotiff(548581474), geotiff(548580093), geotiff(548539082)Available download formats
    Dataset updated
    Oct 22, 2024
    Dataset provided by
    UN Humanitarian Data Exchange
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    India, Pakistan
    Description

    Facebook and Columbia University - CIESIN provide the High Resolution Settlement Layer as the world's most accurate population datasets. More info can be found here: https://dataforgood.fb.com/tools/population-density-maps/

    These maps are the distribution of human population spanning Pakistan and India. Each of the 13 TIFF files is a 10 x 10 degree tile (the lower latitude coordinate and longitude coordinates are in the file name). A VRT file is also included.

  2. Population of Pakistan 1800-2020

    • statista.com
    Updated Aug 8, 2024
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    Statista (2024). Population of Pakistan 1800-2020 [Dataset]. https://www.statista.com/statistics/1067011/population-pakistan-historical/
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    Dataset updated
    Aug 8, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Pakistan
    Description

    In 1800, the population of the area of modern-day Pakistan was estimated to be just over 13 million. Population growth in the 19th century would be gradual in the region, rising to just 19 million at the turn of the century. In the early 1800s, the British Empire slowly consolidated power in the region, eventually controlling the region of Pakistan from the mid-19th century onwards, as part of the British Raj. From the 1930s on, the population's growth rate would increase as improvements in healthcare (particularly vaccination) and sanitation would lead to lower infant mortality rates and higher life expectancy. Independence In 1947, the Muslim-majority country of Pakistan gained independence from Britain, and split from the Hindu-majority country of India. In the next few years, upwards of ten million people migrated between the two nations, during a period that was blemished by widespread atrocities on both sides. Throughout this time, the region of Bangladesh was also a part Pakistan (as it also had a Muslim majority), known as East Pakistan; internal disputes between the two regions were persistent for over two decades, until 1971, when a short but bloody civil war resulted in Bangladesh's independence. Political disputes between Pakistan and India also created tension in the first few decades of independence, even boiling over into some relatively small-scale conflicts, although there was some economic progress and improvements in quality of life for Pakistan's citizens. The late 20th century was also characterized by several attempts to become democratic, but with intermittent periods of military rule. Between independence and the end of the century, Pakistan's population had grown more than four times in total. Pakistan today Since 2008, Pakistan has been a functioning democracy, with an emerging economy and increasing international prominence. Despite the emergence of a successful middle-class, this is prosperity is not reflected in all areas of the population as almost a quarter still live in poverty, and Pakistan ranks in the bottom 20% of countries according to the Human Development Index. In 2020, Pakistan is thought to have a total population of over 220 million people, making it the fifth-most populous country in the world.

  3. Muslim population in India 2011 by state

    • statista.com
    Updated May 20, 2013
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    Statista (2013). Muslim population in India 2011 by state [Dataset]. https://www.statista.com/statistics/616679/muslim-population-by-state-and-union-territory-india/
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    Dataset updated
    May 20, 2013
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2011
    Area covered
    India
    Description

    With almost all major religions being practiced throughout the country, India is known for its religious diversity. Islam makes up the highest share among minority faiths in the country. According to the Indian census of 2011, the Muslim population in Uttar Pradesh more than ** million, making it the state with the most Muslims.

    Socio-economic conditions of Muslims
    Muslims seem to lag behind every other religious community in India in terms of living standards, financial stability, education and other aspects, thereby showing poor performance in most of the fields. According to a national survey, 17 percent of the Muslims were categorized under the lowest wealth index, which indicates poor socio-economic conditions.

    Growth of Muslim population in India
    Islam is one of the fastest-growing religions worldwide. According to India’s census, the Muslim population has witnessed a negative decadal growth of more than ** percent from 1951 to 1960, presumably due to the partitions forming Pakistan and Bangladesh. The population showed a positive and steady growth since 1961, making up ** percent of the total population of India . Even though people following Islam were estimated to grow significantly, they would still remain a minority in India compared to *** billion Hindus by 2050.

  4. a

    Asian Population Change 2010-2020 Wichita / Sedgwick County

    • ict-opendata-cityofwichita.hub.arcgis.com
    • data-cityofwichita.hub.arcgis.com
    Updated Mar 18, 2022
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    City of Wichita GIS (2022). Asian Population Change 2010-2020 Wichita / Sedgwick County [Dataset]. https://ict-opendata-cityofwichita.hub.arcgis.com/maps/c247c80993c94eea8c46f1fcefd01b7d
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    Dataset updated
    Mar 18, 2022
    Dataset authored and provided by
    City of Wichita GIS
    Area covered
    Description

    The US Census Bureau defines Asian as "A person having origins in any of the original peoples of the Far East, Southeast Asia, or the Indian subcontinent, including, for example, Cambodia, China, India, Japan, Korea, Malaysia, Pakistan, the Philippine Islands, Thailand, and Vietnam. This includes people who reported detailed Asian responses such as: Indian, Bangladeshi, Bhutanese, Burmese, Cambodian, Chinese, Filipino, Hmong, Indonesian, Japanese, Korean, Laotian, Malaysian, Nepalese, Pakistani, Sri Lankan, Taiwanese, Thai, Vietnamese, Other Asian specified, Other Asian not specified.". 2020 Census block groups for the Wichita / Sedgwick County area, clipped to the county line. Features were extracted from the 2020 State of Kansas Census Block Group shapefile provided by the State of Kansas GIS Data Access and Support Center (https://www.kansasgis.org/index.cfm).Change in Population and Housing for the Sedgwick County area from 2010 - 2020 based upon US Census. Census Blocks from 2010 were spatially joined to Census Block Groups from 2020 to compare the population and housing figures. This is not a product of the US Census Bureau and is only available through City of Wichita GIS. Please refer to Census Block Groups for 2010 and 2020 for verification of all data Standard block groups are clusters of blocks within the same census tract that have the same first digit of their 4-character census block number. For example, blocks 3001, 3002, 3003… 3999 in census tract 1210.02 belong to Block Group 3. Due to boundary and feature changes that occur throughout the decade, current block groups do not always maintain these same block number to block group relationships. For example, block 3001 might move due to a change in the census tract boundary. Even if the block is no longer in block group 3, the block number (3001) will not change. However, the identification string (GEOID20) for that block, identifying block group 3, would remain the same in the attribute information in the TIGER/Line Shapefiles because block identification strings are always built using the decennial geographic codes.Block groups delineated for the 2020 Census generally contain between 600 and 3,000 people. Local participants delineated most block groups as part of the Census Bureau's Participant Statistical Areas Program (PSAP). The Census Bureau delineated block groups only where a local or tribal government declined to participate or where the Census Bureau could not identify a potential local participant.A block group usually covers a contiguous area. Each census tract contains at least one block group and block groups are uniquely numbered within census tract. Within the standard census geographic hierarchy, block groups never cross county or census tract boundaries, but may cross the boundaries of county subdivisions, places, urban areas, voting districts, congressional districts, and American Indian, Alaska Native, and Native Hawaiian areas.Block groups have a valid range of 0 through 9. Block groups beginning with a zero generally are in coastal and Great Lakes water and territorial seas. Rather than extending a census tract boundary into the Great Lakes or out to the 3-mile territorial sea limit, the Census Bureau delineated some census tract boundaries along the shoreline or just offshore.

  5. Regional Bloc for Pakistan & India_47: High Resolution Population Density...

    • data.amerigeoss.org
    csv, geotiff
    Updated Dec 7, 2020
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    UN Humanitarian Data Exchange (2020). Regional Bloc for Pakistan & India_47: High Resolution Population Density Maps [Dataset]. https://data.amerigeoss.org/tl/dataset/southasia_as47-high-resolution-population-density-maps
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    geotiff(88196246), csv(132097398)Available download formats
    Dataset updated
    Dec 7, 2020
    Dataset provided by
    United Nationshttp://un.org/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Pakistan
    Description

    The territories of Pakistan and India are mostly covered by the non-political blocks AS42 through AS50, going roughly from West to East. Please see the attached map of these non-political boundary blocks.

  6. India & Pak Migration and Population Trends

    • kaggle.com
    Updated Dec 11, 2024
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    Ayushmaan03 (2024). India & Pak Migration and Population Trends [Dataset]. https://www.kaggle.com/datasets/ayushmaan03/india-and-pak-migration-and-population-trends/code
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 11, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Ayushmaan03
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    India, Pakistan
    Description

    Dataset

    This dataset was created by Ayushmaan03

    Released under MIT

    Contents

  7. W

    SouthAsia_AS44: High Resolution Population Density Maps

    • cloud.csiss.gmu.edu
    • data.amerigeoss.org
    zipped csv +1
    Updated Jul 23, 2019
    + more versions
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    UN Humanitarian Data Exchange (2019). SouthAsia_AS44: High Resolution Population Density Maps [Dataset]. http://cloud.csiss.gmu.edu/uddi/ne/dataset/southasia_as434-high-resolution-population-density-maps
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    zipped csv(272600123), zipped geotiff(182539969)Available download formats
    Dataset updated
    Jul 23, 2019
    Dataset provided by
    UN Humanitarian Data Exchange
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The territories of Pakistan and India are mostly covered by the non-political blocks AS42 through AS50, going roughly from West to East. Please see the attached map of these non-political boundary blocks.

  8. A

    Regional Bloc for Pakistan & India_42: High Resolution Population Density...

    • data.amerigeoss.org
    • cloud.csiss.gmu.edu
    zipped csv +1
    Updated Apr 22, 2020
    + more versions
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    UN Humanitarian Data Exchange (2020). Regional Bloc for Pakistan & India_42: High Resolution Population Density Maps [Dataset]. https://data.amerigeoss.org/es/dataset/southasia_as42-high-resolution-population-density-maps
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    zipped csv(105984743), zipped geotiff(66802262)Available download formats
    Dataset updated
    Apr 22, 2020
    Dataset provided by
    UN Humanitarian Data Exchange
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    India, Pakistán
    Description

    The territories of Pakistan and India are mostly covered by the non-political blocks AS42 through AS50, going roughly from West to East. Please see the attached map of these non-political boundary blocks.

  9. Population density in India 1961-2022

    • statista.com
    Updated Jul 22, 2025
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    Statista (2025). Population density in India 1961-2022 [Dataset]. https://www.statista.com/statistics/271311/population-density-in-india/
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    Dataset updated
    Jul 22, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    The population density in India was 479.43 people in 2022. In a steady upward trend, the population density rose by 329.23 people from 1961.

  10. Countries with the largest Muslim population in 2020

    • statista.com
    Updated Jun 30, 2025
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    Statista (2025). Countries with the largest Muslim population in 2020 [Dataset]. https://www.statista.com/statistics/374661/countries-with-the-largest-muslim-population/
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    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    World
    Description

    In 2020, Indonesia recorded the largest population of Muslims worldwide, with around 239 million. This was followed with around 226.88 million Muslims in Pakistan and 213 million Muslims in India.

  11. d

    Area and Population: State-wise (Census 2011)

    • dataful.in
    Updated Apr 4, 2025
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    Dataful (Factly) (2025). Area and Population: State-wise (Census 2011) [Dataset]. https://dataful.in/datasets/21090
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    csv, xlsx, application/x-parquetAvailable download formats
    Dataset updated
    Apr 4, 2025
    Dataset authored and provided by
    Dataful (Factly)
    License

    https://dataful.in/terms-and-conditionshttps://dataful.in/terms-and-conditions

    Area covered
    India
    Variables measured
    Area
    Description

    The data shows for each state/union territory the area, population by gender and population by urban/rural.

    Note: The area figures of States and U.T's do not add up to area of India because : (i) The shortfall of 7 square km. area of Madhya Pradesh and 3 square km. area of Chhattisgarh is yet to be resolved by the Survey of India. (ii) Disputed area of 13 square km. between Pondicherry and Andhra Pradesh is neither included in Pondicherry nor in Andhra Pradesh. For All India: 1) The population figures excludes population of the area under unlawful occupation of Pakistan and China where Census could not be taken. 2) Area figures includes the area under unlawful occupation of Pakistan and China. The area includes 78,114 sq.km. under illegal occupation of Pakistan, 5,180 sq. km.illegally handed over by Pakistan to China and 37,555 sq.km. under illegal occupation of China.

  12. World Population Statistics - 2023

    • kaggle.com
    Updated Jan 9, 2024
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    Bhavik Jikadara (2024). World Population Statistics - 2023 [Dataset]. https://www.kaggle.com/datasets/bhavikjikadara/world-population-statistics-2023
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 9, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Bhavik Jikadara
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    World
    Description
    • The current US Census Bureau world population estimate in June 2019 shows that the current global population is 7,577,130,400 people on Earth, which far exceeds the world population of 7.2 billion in 2015. Our estimate based on UN data shows the world's population surpassing 7.7 billion.
    • China is the most populous country in the world with a population exceeding 1.4 billion. It is one of just two countries with a population of more than 1 billion, with India being the second. As of 2018, India has a population of over 1.355 billion people, and its population growth is expected to continue through at least 2050. By the year 2030, India is expected to become the most populous country in the world. This is because India’s population will grow, while China is projected to see a loss in population.
    • The following 11 countries that are the most populous in the world each have populations exceeding 100 million. These include the United States, Indonesia, Brazil, Pakistan, Nigeria, Bangladesh, Russia, Mexico, Japan, Ethiopia, and the Philippines. Of these nations, all are expected to continue to grow except Russia and Japan, which will see their populations drop by 2030 before falling again significantly by 2050.
    • Many other nations have populations of at least one million, while there are also countries that have just thousands. The smallest population in the world can be found in Vatican City, where only 801 people reside.
    • In 2018, the world’s population growth rate was 1.12%. Every five years since the 1970s, the population growth rate has continued to fall. The world’s population is expected to continue to grow larger but at a much slower pace. By 2030, the population will exceed 8 billion. In 2040, this number will grow to more than 9 billion. In 2055, the number will rise to over 10 billion, and another billion people won’t be added until near the end of the century. The current annual population growth estimates from the United Nations are in the millions - estimating that over 80 million new lives are added yearly.
    • This population growth will be significantly impacted by nine specific countries which are situated to contribute to the population growth more quickly than other nations. These nations include the Democratic Republic of the Congo, Ethiopia, India, Indonesia, Nigeria, Pakistan, Uganda, the United Republic of Tanzania, and the United States of America. Particularly of interest, India is on track to overtake China's position as the most populous country by 2030. Additionally, multiple nations within Africa are expected to double their populations before fertility rates begin to slow entirely.

    Content

    • In this Dataset, we have Historical Population data for every Country/Territory in the world by different parameters like Area Size of the Country/Territory, Name of the Continent, Name of the Capital, Density, Population Growth Rate, Ranking based on Population, World Population Percentage, etc. >Dataset Glossary (Column-Wise):
    • Rank: Rank by Population.
    • CCA3: 3 Digit Country/Territories Code.
    • Country/Territories: Name of the Country/Territories.
    • Capital: Name of the Capital.
    • Continent: Name of the Continent.
    • 2022 Population: Population of the Country/Territories in the year 2022.
    • 2020 Population: Population of the Country/Territories in the year 2020.
    • 2015 Population: Population of the Country/Territories in the year 2015.
    • 2010 Population: Population of the Country/Territories in the year 2010.
    • 2000 Population: Population of the Country/Territories in the year 2000.
    • 1990 Population: Population of the Country/Territories in the year 1990.
    • 1980 Population: Population of the Country/Territories in the year 1980.
    • 1970 Population: Population of the Country/Territories in the year 1970.
    • Area (km²): Area size of the Country/Territories in square kilometers.
    • Density (per km²): Population Density per square kilometer.
    • Growth Rate: Population Growth Rate by Country/Territories.
    • World Population Percentage: The population percentage by each Country/Territories.
  13. Countries with the largest population 2025

    • statista.com
    • ai-chatbox.pro
    Updated Jul 29, 2025
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    Statista (2025). Countries with the largest population 2025 [Dataset]. https://www.statista.com/statistics/262879/countries-with-the-largest-population/
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    Dataset updated
    Jul 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2025
    Area covered
    World
    Description

    In 2025, India overtook China as the world's most populous country and now has almost 1.46 billion people. China now has the second-largest population in the world, still with just over 1.4 billion inhabitants, however, its population went into decline in 2023. Global population As of 2025, the world's population stands at almost 8.2 billion people and is expected to reach around 10.3 billion people in the 2080s, when it will then go into decline. Due to improved healthcare, sanitation, and general living conditions, the global population continues to increase; mortality rates (particularly among infants and children) are decreasing and the median age of the world population has steadily increased for decades. As for the average life expectancy in industrial and developing countries, the gap has narrowed significantly since the mid-20th century. Asia is the most populous continent on Earth; 11 of the 20 largest countries are located there. It leads the ranking of the global population by continent by far, reporting four times as many inhabitants as Africa. The Demographic Transition The population explosion over the past two centuries is part of a phenomenon known as the demographic transition. Simply put, this transition results from a drastic reduction in mortality, which then leads to a reduction in fertility, and increase in life expectancy; this interim period where death rates are low and birth rates are high is where this population explosion occurs, and population growth can remain high as the population ages. In today's most-developed countries, the transition generally began with industrialization in the 1800s, and growth has now stabilized as birth and mortality rates have re-balanced. Across less-developed countries, the stage of this transition varies; for example, China is at a later stage than India, which accounts for the change in which country is more populous - understanding the demographic transition can help understand the reason why China's population is now going into decline. The least-developed region is Sub-Saharan Africa, where fertility rates remain close to pre-industrial levels in some countries. As these countries transition, they will undergo significant rates of population growth.

  14. Global population survey data set (1950-2018)

    • tpdc.ac.cn
    • data.tpdc.ac.cn
    zip
    Updated Sep 3, 2020
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    Wen DONG (2020). Global population survey data set (1950-2018) [Dataset]. https://www.tpdc.ac.cn/view/googleSearch/dataDetail?metadataId=ece5509f-2a2c-4a11-976e-8d939a419a6c
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    zipAvailable download formats
    Dataset updated
    Sep 3, 2020
    Dataset provided by
    Tanzania Petroleum Development Corporationhttp://tpdc.co.tz/
    Authors
    Wen DONG
    Area covered
    Description

    "Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. The values shown are midyear estimates.This dataset includes demographic data of 22 countries from 1960 to 2018, including Sri Lanka, Bangladesh, Pakistan, India, Maldives, etc. Data fields include: country, year, population ratio, male ratio, female ratio, population density (km). Source: ( 1 ) United Nations Population Division. World Population Prospects: 2019 Revision. ( 2 ) Census reports and other statistical publications from national statistical offices, ( 3 ) Eurostat: Demographic Statistics, ( 4 ) United Nations Statistical Division. Population and Vital Statistics Reprot ( various years ), ( 5 ) U.S. Census Bureau: International Database, and ( 6 ) Secretariat of the Pacific Community: Statistics and Demography Programme. Periodicity: Annual Statistical Concept and Methodology: Population estimates are usually based on national population censuses. Estimates for the years before and after the census are interpolations or extrapolations based on demographic models. Errors and undercounting occur even in high-income countries. In developing countries errors may be substantial because of limits in the transport, communications, and other resources required to conduct and analyze a full census. The quality and reliability of official demographic data are also affected by public trust in the government, government commitment to full and accurate enumeration, confidentiality and protection against misuse of census data, and census agencies' independence from political influence. Moreover, comparability of population indicators is limited by differences in the concepts, definitions, collection procedures, and estimation methods used by national statistical agencies and other organizations that collect the data. The currentness of a census and the availability of complementary data from surveys or registration systems are objective ways to judge demographic data quality. Some European countries' registration systems offer complete information on population in the absence of a census. The United Nations Statistics Division monitors the completeness of vital registration systems. Some developing countries have made progress over the last 60 years, but others still have deficiencies in civil registration systems. International migration is the only other factor besides birth and death rates that directly determines a country's population growth. Estimating migration is difficult. At any time many people are located outside their home country as tourists, workers, or refugees or for other reasons. Standards for the duration and purpose of international moves that qualify as migration vary, and estimates require information on flows into and out of countries that is difficult to collect. Population projections, starting from a base year are projected forward using assumptions of mortality, fertility, and migration by age and sex through 2050, based on the UN Population Division's World Population Prospects database medium variant."

  15. d

    Decade and State wise Urban, Rural, Total Population and Decadal Growth Rate...

    • dataful.in
    Updated Jul 31, 2025
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    Dataful (Factly) (2025). Decade and State wise Urban, Rural, Total Population and Decadal Growth Rate [Dataset]. https://dataful.in/datasets/21431
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    application/x-parquet, xlsx, csvAvailable download formats
    Dataset updated
    Jul 31, 2025
    Dataset authored and provided by
    Dataful (Factly)
    License

    https://dataful.in/terms-and-conditionshttps://dataful.in/terms-and-conditions

    Area covered
    India
    Variables measured
    Population
    Description

    The dataset contains Decade and State wise Urban, Rural, Total Population and Decadal Growth Rate

    Note: 1. The Population figures exclude population of areas under unlawful occupation of Pakistan and China, where Census could not be taken. 2. In Arunachal Pradesh, the census was conducted for the first time in 1961. 3. Population data of Assam include Union Territory of Mizoram, which was carved out of Assam after the 1971. 4. The 1981 Census could not be held in Assam. Total Population for 1981 has been worked out by Interpolation. 5. The 1991 Census could not be held in Jammu & Kashmir. Total Population for 1991 has been worked out by Interpolation. 6. India and Manipur figures include estimated Population for those of the three sub-divisions viz., Mao Maram,Paomata and Purul of Senapati district of Manipur as census result of 2001 in these three sub-divisions were cancelled due to technical and administrative reasons

  16. d

    Loudoun County 2020 Census Population Patterns by Race and Hispanic or...

    • catalog.data.gov
    • data.virginia.gov
    • +1more
    Updated Jan 31, 2025
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    Loudoun County GIS (2025). Loudoun County 2020 Census Population Patterns by Race and Hispanic or Latino Ethnicity [Dataset]. https://catalog.data.gov/dataset/loudoun-county-2020-census-population-patterns-by-race-and-hispanic-or-latino-ethnicity
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    Dataset updated
    Jan 31, 2025
    Dataset provided by
    Loudoun County GIS
    Area covered
    Loudoun County
    Description

    Use this application to view the pattern of concentrations of people by race and Hispanic or Latino ethnicity. Data are provided at the U.S. Census block group level, one of the smallest Census geographies, to provide a detailed picture of these patterns. The data is sourced from the U.S Census Bureau, 2020 Census Redistricting Data (Public Law 94-171) Summary File. Definitions: Definitions of the Census Bureau’s categories are provided below. This interactive map shows patterns for all categories except American Indian or Alaska Native and Native Hawaiian or Other Pacific Islander. The total population countywide for these two categories is small (1,582 and 263 respectively). The Census Bureau uses the following race categories:Population by RaceWhite – A person having origins in any of the original peoples of Europe, the Middle East, or North Africa.Black or African American – A person having origins in any of the Black racial groups of Africa.American Indian or Alaska Native – A person having origins in any of the original peoples of North and South America (including Central America) and who maintains tribal affiliation or community attachment.Asian – A person having origins in any of the original peoples of the Far East, Southeast Asia, or the Indian subcontinent including, for example, Cambodia, China, India, Japan, Korea, Malaysia, Pakistan, the Philippine Islands, Thailand, and Vietnam.Native Hawaiian or Other Pacific Islander – A person having origins in any of the original peoples of Hawaii, Guam, Samoa, or other Pacific Islands.Some Other Race - this category is chosen by people who do not identify with any of the categories listed above. People can identify with more than one race. These people are included in the Two or More Races Hispanic or Latino PopulationThe Hispanic/Latino population is an ethnic group. Hispanic/Latino people may be of any race.Other layers provided in this tool included the Loudoun County Census block groups, towns and Dulles airport, and the Loudoun County 2021 aerial imagery.

  17. e

    A Comparative Study Data on Early-Years Education of Children in India and...

    • b2find.eudat.eu
    Updated Dec 13, 2019
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    (2019). A Comparative Study Data on Early-Years Education of Children in India and Pakistan, 2020-2021 - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/a01d9ccc-c887-5895-9c4d-e2091e74f865
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    Dataset updated
    Dec 13, 2019
    Area covered
    India, Pakistan
    Description

    This dataset is a cross-sectional survey collected from two provinces in Pakistan (Punjab) and India (State of Gujarat). The sample included both urban and rural parts of the two countries. The dataset mainly looks at children’s learning and general life experiences in the early years of childhood (at ages 4 to 8). We assessed 1,129 children on tasks of basic numeracy, literacy, and social-emotional learning using a standardised measure of assessment, implemented at two points in time with a gap of 12 months. Also, we collected data on household characteristics, children's learning performance and a parents' survey of children's activities and learning outcomes.School enrolment of around 80% in India and Pakistan is lower than targets associated with Sustainable Development Goal 4 and functional levels of literacy and numeracy are inadequate even for many young children who are enrolled in school. This project, based on 1,500 young children from one province in Pakistan and one state in India, seeks to examine patterns of enrolment of children and school readiness by socio-economic group, family background, urban / rural locations and individual characteristics such as gender, disability and health. Attendance and progress at school will be analysed over one year, demonstrating how much of a difference school attendance can make to children’s cognitive development and health outcomes. The project aims to collect in-depth information from families and communities on their views of schools and any barriers to attendance, and conduct a systematic review of the evidence. The findings are expected to have policy implications on school enrolment, attendance and retention. The team's final project report was published on 20 September 2022, and a foreword has been authored by Ziauddin Yousafzai (Malala Yousafzai’s father). This dataset is a longitudinal design in which the same households were followed and children were assessed at the baseline and after the gap of 12 months. This study involved trained and highly experienced enumerators leading to the initial sample of 1,129 children by involving 783 households from selected districts (both urban and rural areas) in Punjab, Pakistan and Gujarat, India depending on the population dynamics of the village and enumerators' access to the households. Children aged 3 to 8 (according to parental reports of children’s age) were assessed by standardised tests. Parents were surveyed by family questionnaires regarding household socioeconomic conditions, reasons for school choice, children's general health and interest in attending school, and experience of access to their children's education during lockdown.

  18. f

    Data from: Muslims in Taiwan: A Small Thriving Community

    • figshare.com
    pdf
    Updated Jun 21, 2025
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    Abu Zafar (2025). Muslims in Taiwan: A Small Thriving Community [Dataset]. http://doi.org/10.6084/m9.figshare.29375906.v1
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    pdfAvailable download formats
    Dataset updated
    Jun 21, 2025
    Dataset provided by
    figshare
    Authors
    Abu Zafar
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Taiwan
    Description

    Officially Taiwan has only 60,000 Muslim population, which constitutes only 0.2 % of the total population of Taiwan but many Muslims from countries like Indonesia, Myanmar, Malaysia, Turkey, Pakistan, India, and countries from Africa and the Middle East are part of the workforce which was estimated up to 254,000 in 2015. Interestingly, the number of local Muslims is less than those who came here to work or to study. There are about 7 mosques in Taiwan but it also has many other places where people can perform daily prayers.

  19. n

    Pak Bil Census 2011

    • gramvikas.nskmultiservices.in
    Updated Mar 1, 2011
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    (2011). Pak Bil Census 2011 [Dataset]. https://gramvikas.nskmultiservices.in/india/assam/sonitpur/chariduar/pak-bil
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    Dataset updated
    Mar 1, 2011
    License

    https://data.gov.in/sites/default/files/Gazette_Notification_OGDL.pdfhttps://data.gov.in/sites/default/files/Gazette_Notification_OGDL.pdf

    Time period covered
    2011
    Description

    Comprehensive population and demographic data for Pak Bil Village

  20. c

    Global Basmati Rice Market Report 2025 Edition, Market Size, Share, CAGR,...

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
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    Cognitive Market Research (2025). Global Basmati Rice Market Report 2025 Edition, Market Size, Share, CAGR, Forecast, Revenue [Dataset]. https://www.cognitivemarketresearch.com/basmati-rice-market-report
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    pdf,excel,csv,pptAvailable download formats
    Dataset authored and provided by
    Cognitive Market Research
    License

    https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    According to Cognitive Market Research, the global basmati rice market size will be USD XX Billion in 2024 and is set to achieve a market size of USD XX Billion by the end of 2031 growing at a CAGR of XX% from 2024 to 2030. • Detailed market segmentation analysis at a various level such as type, application, distribution, and region. • Detailed analysis of the factors that drive and restrain the basmati rice market. • Current dominating region analysis and forecasted region analysis. • Asia-Pacific region dominated the market and accounted for the highest revenue of XX% in 2024 and it is projected that it will grow at a CAGR of XX% in the future. • Overview of current market trends and opportunities in the basmati rice market. • The parboiled rice type segment accounts for the largest market share and is anticipated to a healthy growth over the approaching years with a market size of USD XX billion in 2024.

    Market Dynamics of Basmati Rice Market

    Key Drivers for Basmati Rice Market

    Population growth and rising demand a major driving factors for the basmati rice market
    

    Increasing population will increase the consumption of rice, China is one of the leading countries in rice consumption because their population is high so the demand for rice is also high. The growing population will demand more food with great variety. highest rice-producing country. Also, China accounts for being the largest consumer of rice. It accounts for around 30% consumption of globally produced rice. Also, with increasing popularity of basmati rice and its health benefits among the young population boosts the market for basmati rice. Basmati rice is a good source of essential nutrients like carbohydrates, protein, and B vitamins. Basmati rice has a lower fat content compared to other rice varieties, making it a healthier choice for weight management, its aromatic flavor makes basmati rice unique from other rice varieties. For instance- Horeca is referred to as the hotel and food service industries that accept basmati rice as their staple food ingredient, which is consumed by people in high demand. Every restaurant or hotel experiences immense demand or requests from their guests to serve them with basmati rice. Such a demand contributes to increased production and sales of basmati rice, leading to the growth of the market. Hence, the increasing population reflects the consumption rate of basmati rice global market.

    Modern trade and the rise of E-commerce drive the market of basmati rice
    

    Modern trade of basmati rice is executed when various countries are importing rice from India and Pakistan. India is the biggest exporter of basmati rice, and the rise of demand in the world for Indian basmati has helped the market grow to substantial heights and generate great revenues in the prior forecast periods. e-commerce, the trend for ordering foods and groceries online has immensely increased. Moreover, there is an increase in the count of on-demand grocery apps, which is helping people order their pack of basmati rice and other goods from the comfort of their homes. This is what contributes immensely to the growth of the basmati rice market in the present forecast period. Because of their busy lifestyle people shifted from traditional store shopping to modern shopping for their convenience.

    Key Restraints for Basmati Rice Market

    Climatic conditions and supply chain disruption lead to many challenges for the Basmati rice market 
    

    The delightful aroma and alluring taste of basmati rice have conquered the taste buds and hearts of millions of food enthusiasts worldwide. But climatic changes like drought, and unpredictable weather patterns, affect the quality of basmati rice. Basmati rice is revered for its aromatic taste, texture, and quality. Rice cultivation needs an average of 100 to 200 CM rainfall. It is a highly water-consuming crop. Most of the time because of poor irrigation systems and delayed monsoon a large amount of underground water is used for Rice cultivation. Deep tube wells are used for drawing underground water. These deep tube wells need high electricity consumption. A great amount of water resources is wasted in this way. Also, disruptions in the supply chain hinder the import and export market of basmati rice like...

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UN Humanitarian Data Exchange (2024). Pakistan & India: High Resolution Population Density Maps [Dataset]. https://data.amerigeoss.org/es/dataset/pakistan-india_all-files-high-resolution-population-density-maps

Pakistan & India: High Resolution Population Density Maps

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geotiff(548772550), geotiff(548707630), geotiff(548584566), geotiff(548860260), geotiff(548581474), geotiff(548580093), geotiff(548539082)Available download formats
Dataset updated
Oct 22, 2024
Dataset provided by
UN Humanitarian Data Exchange
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Area covered
India, Pakistan
Description

Facebook and Columbia University - CIESIN provide the High Resolution Settlement Layer as the world's most accurate population datasets. More info can be found here: https://dataforgood.fb.com/tools/population-density-maps/

These maps are the distribution of human population spanning Pakistan and India. Each of the 13 TIFF files is a 10 x 10 degree tile (the lower latitude coordinate and longitude coordinates are in the file name). A VRT file is also included.

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