38 datasets found
  1. S

    South Korea KR: Population: Total

    • ceicdata.com
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    CEICdata.com, South Korea KR: Population: Total [Dataset]. https://www.ceicdata.com/en/korea/population-and-urbanization-statistics/kr-population-total
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    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    South Korea
    Variables measured
    Population
    Description

    Korea Population: Total data was reported at 51,466,201.000 Person in 2017. This records an increase from the previous number of 51,245,707.000 Person for 2016. Korea Population: Total data is updated yearly, averaging 42,240,142.500 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 51,466,201.000 Person in 2017 and a record low of 25,012,374.000 Person in 1960. Korea Population: Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Korea – Table KR.World Bank.WDI: Population and Urbanization Statistics. 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.; ; (1) United Nations Population Division. World Population Prospects: 2017 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.; Sum; Relevance to gender indicator: disaggregating the population composition by gender will help a country in projecting its demand for social services on a gender basis.

  2. T

    South Korea GDP per capita

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +14more
    csv, excel, json, xml
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    TRADING ECONOMICS, South Korea GDP per capita [Dataset]. https://tradingeconomics.com/south-korea/gdp-per-capita
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    csv, excel, json, xmlAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Dec 31, 1960 - Dec 31, 2023
    Area covered
    South Korea
    Description

    The Gross Domestic Product per capita in South Korea was last recorded at 34121.02 US dollars in 2023. The GDP per Capita in South Korea is equivalent to 270 percent of the world's average. This dataset provides - South Korea GDP per capita - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  3. South Korea KR: Population: Growth

    • ceicdata.com
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    CEICdata.com, South Korea KR: Population: Growth [Dataset]. https://www.ceicdata.com/en/korea/population-and-urbanization-statistics/kr-population-growth
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    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    South Korea
    Variables measured
    Population
    Description

    Korea Population: Growth data was reported at 0.429 % in 2017. This records a decrease from the previous number of 0.451 % for 2016. Korea Population: Growth data is updated yearly, averaging 1.000 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 2.967 % in 1961 and a record low of 0.212 % in 2005. Korea Population: Growth data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Korea – Table KR.World Bank.WDI: Population and Urbanization Statistics. Annual population growth rate for year t is the exponential rate of growth of midyear population from year t-1 to t, expressed as a percentage . Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.; ; Derived from total population. Population source: (1) United Nations Population Division. World Population Prospects: 2017 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.; Weighted average;

  4. 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.

  5. S

    South Korea KR: Population Projection: Mid Year

    • ceicdata.com
    Updated Mar 15, 2023
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    CEICdata.com (2023). South Korea KR: Population Projection: Mid Year [Dataset]. https://www.ceicdata.com/en/korea/demographic-projection/kr-population-projection-mid-year
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    Dataset updated
    Mar 15, 2023
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Jun 1, 2039 - Jun 1, 2050
    Area covered
    South Korea
    Variables measured
    Population
    Description

    Korea Population Projection: Mid Year data was reported at 47,731,321.000 Person in 2050. This records a decrease from the previous number of 48,162,628.000 Person for 2049. Korea Population Projection: Mid Year data is updated yearly, averaging 46,840,607.000 Person from Jun 1950 (Median) to 2050, with 101 observations. The data reached an all-time high of 52,796,081.000 Person in 2029 and a record low of 20,845,771.000 Person in 1950. Korea Population Projection: Mid Year data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s Korea – Table KR.US Census Bureau: Demographic Projection.

  6. Farfetch.Product.prices.South.Korea

    • huggingface.co
    Updated Nov 17, 2023
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    Data Boutique (2023). Farfetch.Product.prices.South.Korea [Dataset]. https://huggingface.co/datasets/DBQ/Farfetch.Product.prices.South.Korea
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 17, 2023
    Dataset provided by
    Databoutique.com
    Authors
    Data Boutique
    License

    https://choosealicense.com/licenses/unknown/https://choosealicense.com/licenses/unknown/

    Area covered
    South Korea
    Description

    Farfetch web scraped data

      About the website
    

    The Ecommerce industry in the Asia Pacific region, particularly in South Korea, has seen dramatic growth over the recent years. Known for its tech-savvy population and high internet penetration, South Korea is considered as one of the world’s largest and most mature Ecommerce markets. The dataset observed sheds light on the Ecommerce Product-List Page (PLP) data on Farfetch in South Korea. The company operates within the luxury… See the full description on the dataset page: https://huggingface.co/datasets/DBQ/Farfetch.Product.prices.South.Korea.

  7. North Korea KP: Population: Growth

    • ceicdata.com
    Updated Aug 8, 2018
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    CEICdata.com (2018). North Korea KP: Population: Growth [Dataset]. https://www.ceicdata.com/en/north-korea/population-and-urbanization-statistics/kp-population-growth
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    Dataset updated
    Aug 8, 2018
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    North Korea
    Description

    North Korea KP: Population: Growth data was reported at 0.481 % in 2017. This records a decrease from the previous number of 0.493 % for 2016. North Korea KP: Population: Growth data is updated yearly, averaging 1.444 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 2.899 % in 1969 and a record low of 0.481 % in 2017. North Korea KP: Population: Growth data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s North Korea – Table KP.World Bank.WDI: Population and Urbanization Statistics. Annual population growth rate for year t is the exponential rate of growth of midyear population from year t-1 to t, expressed as a percentage . Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.; ; Derived from total population. Population source: (1) United Nations Population Division. World Population Prospects: 2017 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.; Weighted average;

  8. COVID-19 and Mental Health Search Terms

    • kaggle.com
    Updated Jun 13, 2020
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    Yunge Hao (2020). COVID-19 and Mental Health Search Terms [Dataset]. https://www.kaggle.com/datasets/luckybro/mental-health-search-term/versions/11
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 13, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Yunge Hao
    Description

    This dataset is created for a task of UNCOVER COVID-19 Challenge, Mental health impact and support services.

    The search interest of mental health related terms on Google before and after the outbreak of COVID-19 pandemic reveals how public's concern is affected by the pandemic, and its impact to mental health of people around the world. I picked worldwide, Canada, US, Italy, Iran, Japan, South Korea and UK as the population. The dataset also includes data of Canada for the past 4 years, from 2016 to 2019.

    The mental health related search terms are "mental health", "depression", "anxiety", "ocd", "obsessive compulsive disorder", "insomnia", "panic attack", "counseling", "psychiatrist".

    Search interest is indicated by a number between 0 and 100, where 100 means the most popular point of time(by week), 1 means the least, and 0 no enough data.

    All data is collected from Google Trends. I assumed, when searching the terms, users from countries other than English-speaking performed the search in their own language, and they typed the word correctly.

  9. u

    Data from: Divergence in host specificity and genetics among populations of...

    • agdatacommons.nal.usda.gov
    • s.cnmilf.com
    • +1more
    txt
    Updated May 6, 2025
    + more versions
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    Keith Hopper; Sara J. Oppenheim (2025). Divergence in host specificity and genetics among populations of Aphelinus certus [Dataset]. http://doi.org/10.15482/USDA.ADC/1503305
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    txtAvailable download formats
    Dataset updated
    May 6, 2025
    Dataset provided by
    Ag Data Commons
    Authors
    Keith Hopper; Sara J. Oppenheim
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    These are data on variation in host specificity and genetics among 16 populations of an aphid parasitoid, Aphelinus certus, 15 from Asia and one from North America. Host range was the same for all the parasitoid populations, but levels of parasitism varied among aphid species, suggesting adaptation to locally abundant aphids. Differences in host specificity did not correlate with geographical distances among parasitoid populations, suggesting that local adaption is mosaic rather than clinal, with a spatial scale of less than 50 kilometers. Analysis of reduced representation libraries for each population showed genetic differentiation among them. Differences in host specificity correlated with genetic distances among the parasitoid populations. Resources in this dataset:Resource Title: data dictionary for Aphelinus certus population variation. File Name: data_dictionary_Aphelinus_certus.csvResource Description: This is the data dictionary for the other files (Aphelinus_certus_host_use.csv, Aphelinus_certus_culture_data.csv) in this project. Resource Title: Host specificity of Aphelinus certus populations. File Name: Aphelinus_certus_host_use.csvResource Description: Results of no-choice experiments in the laboratory on parasitism, adult emergence rate, and progeny sex ratio for 15 populations of Aphelinus certus from China, Japan, and South Korea and one population from the US. Resource Title: Culture data for Aphelinus certus populations. File Name: Aphelinus_certus_culture_data.csvResource Description: This file gives data on the locations, dates, founding numbers, and collectors for the populations of Aphelinus certus studied in this project. Resource Title: Fst and host use distances among populations of Aphelinus certus. File Name: A_certus_Fst_host_dist.csvResource Description: We used next-generation sequencing of reduced-representation genomic libraries to genotype single nucleotide polymorphisms (SNPs) among the 16 A. certus populations. Libraries were prepared as described in Manching et al. (2017). Briefly, genomic DNA was extracted from pools of wasps from each population using Qiagen DNeasy Blood and Tissue Kits (Qiagen, Valencia, CA), following the standard protocol. The resulting DNA was digested with restriction endonucleases using one rare cutter (NgoMIV with a 6 bp recognition site) and one frequent cutter (CviQI with a 4 bp recognition site) (New England Biolabs, Inc., Ipswich, MA), which together determined the number of unique locations of fragments across the genome and the lengths of these fragments. Custom adaptors, with barcodes for each population that also served to register clusters on the Illumina HiSeq during sequencing, were ligated onto the fragments using T4 ligase (New England Biolabs, Inc., Ipswich, MA). The ligates were pooled and purified using Agencourt AMPure XP beads (Beckman Coulter, Indianapolis, IN). The purified ligate was separated into 10 aliquots that were amplified in separate PCR reactions to both increase copy number at each locus and add more adaptor sequence for sequencing. The adaptors were designed so that the only fragments that amplify would have the rare-common combination of cut sites. After PCR, the products were pooled and then size-selected (300-350 bp) using the BluePippin system (Sage Science, Beverly, MA). After quantification with qPCR, the resulting fragments were sequenced for ~100 nucleotides in single-end reads an Illumina HiSeq 2500 (Illumina, San Diego, CA) at the Delaware Biotechnology Institute. Sequence data were processed with a reduced-representation computational pipeline called RedRep (described in Manching et al. (2017)); the scripts and documentation for the pipeline are available under an open source MIT license at https://github.com/UD-CBCB/RedRep. Briefly, sequences were deconvoluted by barcode using custom scripts and the FASTX-Toolkit (version 0.0.14; http://hannonlab.cshl.edu/fastx_toolkit). Custom scripts and CutAdapt (version 1.14; Martin 2011) were then used to remove adapters, trim low quality read ends, and filter out sequences that did not meet minimum length/quality standards or did not meet expectations for the restriction-site sequences. High-quality reads were mapped to the draft genome of A. certus using BWA-MEM program (version 0.7.16a; Li 2013). SNP loci were identified using the GATK HaplotypeCaller (version 3.5-0; McKenna et al. 2010). We filtered the SNP loci for read depth ≥ 50 and then for presence in all populations using BEDtools (version 2.26) and custom scripts written in R (version 3.3.3; R.Core.Team 2017). We tested the relationship between host use distance and genetic distance, as measured by FST. Because A. certus individuals were pooled within populations to make the libraries for sequencing, we used read depths to estimate allele frequencies for SNP loci. We filtered the data for SNP loci that were present in all populations and had read depth ≥ 50, and we used the numbers of individuals in each pool in calculating FST between populations with the calcPopDiff function in the polysat R package (version 1.7-2; Clark 2017). Using Mantel's permutation test, we compared the genetic and parasitism distance matrices (10,000 permutations with the mantel.randtest function in the ade4 R package). Clark, L. V. (2017) polysat version 1.7-2. Tools for polyploid microsatellite analysis. in. Li, H. (2013) Aligning sequence reads, clone sequences and assembly contigs with BWA-MEM. arXiv: 1303.3997v1 [q-bio.GN]. Manching, H., Sengupta, S., Hopper, K. R., Polson, S. W., Ji, Y. and Wisser, R. J. (2017) Phased genotyping-by-sequencing enhances analysis of genetic diversity and reveals divergent copy number variants in maize. Genes Genomes Genetics, 7(7), pp. 2161-2170. Martin, M. (2011) Cutadapt removes adapter sequences from high-throughput sequencing reads. . EMBnet.journal, 17, pp. 10-12. McKenna, A., Hanna, M., Banks, E., Sivachenko, A., Cibulskis, K., Kernytsky, A., Garimella, K., Altshuler, D., Gabriel, S., Daly, M. and DePristo, M. A. (2010) The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data. Genome Research, 20(9), pp. 1297-1303. R.Core.Team (2017) R: A language and environment for statistical computing. in: R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/.

  10. S

    South Korea KR: Birth Rate: Crude: per 1000 People

    • ceicdata.com
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    CEICdata.com, South Korea KR: Birth Rate: Crude: per 1000 People [Dataset]. https://www.ceicdata.com/en/korea/population-and-urbanization-statistics/kr-birth-rate-crude-per-1000-people
    Explore at:
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    South Korea
    Variables measured
    Population
    Description

    Korea Birth Rate: Crude: per 1000 People data was reported at 7.900 Ratio in 2016. This records a decrease from the previous number of 8.600 Ratio for 2015. Korea Birth Rate: Crude: per 1000 People data is updated yearly, averaging 16.000 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 42.266 Ratio in 1960 and a record low of 7.900 Ratio in 2016. Korea Birth Rate: Crude: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Population and Urbanization Statistics. Crude birth rate indicates the number of live births occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.; ; (1) United Nations Population Division. World Population Prospects: 2017 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.; Weighted average;

  11. u

    Survival and development of six gypsy moth populations, Lymantria dispar L....

    • agdatacommons.nal.usda.gov
    bin
    Updated Jan 22, 2025
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    Melody A. Keena; Jessica Y. Richards (2025). Survival and development of six gypsy moth populations, Lymantria dispar L. (Lepidoptera: Erebidae), from different geographic areas on 16 North American hosts and artificial diet [Dataset]. http://doi.org/10.2737/RDS-2020-0029
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    binAvailable download formats
    Dataset updated
    Jan 22, 2025
    Dataset provided by
    Forest Service Research Data Archive
    Authors
    Melody A. Keena; Jessica Y. Richards
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    United States
    Description

    Data describing the development and survival of gypsy moths (Lymantria dispar L. (Lepidoptera: Erebidae)) from all three subspecies on 13 North American conifers and 3 broad leaf hosts were collected (Keena and Richards 2020). Populations from the United States and Greece served as the Lymantria dispar dispar controls for comparison with the Asian strains from the L. d. asiatica (populations from China, Russia, and South Korea) and L. d. japonica (population from Japan) subspecies. The hosts compared were Acer rubrum, Betula populifolia, Quercus velutina, Pinus strobus, Pseudotsuga menziesii, Abies balsamea, Abies concolor, Larix occidentalis, Picea glauca, Picea pungens, Pinus ponderosa, Pinus taeda, Pinus palustris, Pinus rigida, Tsuga canadensis, and Juniperus virginiana.Survival and developmental data (either to 14 day or to adult with reproductive traits also evaluated) are important for assessing whether there is variation between and/or within a subspecies in host utilization. Host utilization information is critical to managers for estimating the hosts at risk and potential geographic range for Asian gypsy moths from different geographic origins in North America. Since the lists of hosts that Asian gypsy moth is known to feed on in other countries is long and no broad evaluation of North American hosts has been done, without data like these it is difficult to evaluate how the hosts at risk in North America to the Asian and established gypsy moths may differ.For more information about these data, see Keena and Richards (2020, https://doi.org/10.3390/insects11040260).

    These data were originally published on 04/17/2020. Minor metadata updates were made on 07/22/2022 and 04/25/2023.

  12. Hermes.Product.prices.South.Korea

    • huggingface.co
    Updated Nov 17, 2023
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    Data Boutique (2023). Hermes.Product.prices.South.Korea [Dataset]. https://huggingface.co/datasets/DBQ/Hermes.Product.prices.South.Korea
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 17, 2023
    Dataset provided by
    Databoutique.com
    Authors
    Data Boutique
    License

    https://choosealicense.com/licenses/unknown/https://choosealicense.com/licenses/unknown/

    Area covered
    South Korea
    Description

    Hermes web scraped data

      About the website
    

    The luxury retail industry in the Asia Pacific region, particularly in South Korea, has been witnessing significant growth in the recent years. Undeniably fuelled by a rising middle-class population, increasing disposable income, and rapid urbanization, luxury goods demand is booming. French high-fashion label, Hermes, is one of the giants operating in this market. The brand has established a remarkable presence in South Korea… See the full description on the dataset page: https://huggingface.co/datasets/DBQ/Hermes.Product.prices.South.Korea.

  13. North Korea KP: Population: Total

    • ceicdata.com
    Updated Aug 27, 2018
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    CEICdata.com (2018). North Korea KP: Population: Total [Dataset]. https://www.ceicdata.com/en/north-korea/population-and-urbanization-statistics/kp-population-total
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    Dataset updated
    Aug 27, 2018
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    North Korea
    Description

    North Korea KP: Population: Total data was reported at 25,490,965.000 Person in 2017. This records an increase from the previous number of 25,368,620.000 Person for 2016. North Korea KP: Population: Total data is updated yearly, averaging 19,851,039.000 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 25,490,965.000 Person in 2017 and a record low of 11,424,176.000 Person in 1960. North Korea KP: Population: Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s North Korea – Table KP.World Bank.WDI: Population and Urbanization Statistics. 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.; ; (1) United Nations Population Division. World Population Prospects: 2017 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.; Sum; Relevance to gender indicator: disaggregating the population composition by gender will help a country in projecting its demand for social services on a gender basis.

  14. S

    South Korea KR: Death Rate: Crude: per 1000 People

    • ceicdata.com
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    CEICdata.com, South Korea KR: Death Rate: Crude: per 1000 People [Dataset]. https://www.ceicdata.com/en/korea/population-and-urbanization-statistics/kr-death-rate-crude-per-1000-people
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    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    South Korea
    Variables measured
    Population
    Description

    Korea Death Rate: Crude: per 1000 People data was reported at 5.500 Ratio in 2016. This records an increase from the previous number of 5.400 Ratio for 2015. Korea Death Rate: Crude: per 1000 People data is updated yearly, averaging 5.600 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 13.991 Ratio in 1960 and a record low of 5.000 Ratio in 2009. Korea Death Rate: Crude: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Korea – Table KR.World Bank.WDI: Population and Urbanization Statistics. Crude death rate indicates the number of deaths occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.; ; (1) United Nations Population Division. World Population Prospects: 2017 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.; Weighted average;

  15. South Korea KR: Refugee Population: by Country or Territory of Asylum

    • ceicdata.com
    Updated Apr 15, 2018
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    CEICdata.com (2018). South Korea KR: Refugee Population: by Country or Territory of Asylum [Dataset]. https://www.ceicdata.com/en/korea/population-and-urbanization-statistics/kr-refugee-population-by-country-or-territory-of-asylum
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    Dataset updated
    Apr 15, 2018
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    South Korea
    Variables measured
    Population
    Description

    Korea Refugee Population: by Country or Territory of Asylum data was reported at 1,773.000 Person in 2016. This records an increase from the previous number of 1,463.000 Person for 2015. Korea Refugee Population: by Country or Territory of Asylum data is updated yearly, averaging 118.000 Person from Dec 1990 (Median) to 2016, with 25 observations. The data reached an all-time high of 1,773.000 Person in 2016 and a record low of 1.000 Person in 1998. Korea Refugee Population: by Country or Territory of Asylum data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Population and Urbanization Statistics. Refugees are people who are recognized as refugees under the 1951 Convention Relating to the Status of Refugees or its 1967 Protocol, the 1969 Organization of African Unity Convention Governing the Specific Aspects of Refugee Problems in Africa, people recognized as refugees in accordance with the UNHCR statute, people granted refugee-like humanitarian status, and people provided temporary protection. Asylum seekers--people who have applied for asylum or refugee status and who have not yet received a decision or who are registered as asylum seekers--are excluded. Palestinian refugees are people (and their descendants) whose residence was Palestine between June 1946 and May 1948 and who lost their homes and means of livelihood as a result of the 1948 Arab-Israeli conflict. Country of asylum is the country where an asylum claim was filed and granted.; ; United Nations High Commissioner for Refugees (UNHCR), Statistics Database, Statistical Yearbook and data files, complemented by statistics on Palestinian refugees under the mandate of the UNRWA as published on its website. Data from UNHCR are available online at: www.unhcr.org/en-us/figures-at-a-glance.html.; Sum;

  16. South Korea KR: Population Projection: Mid Year: Growth

    • ceicdata.com
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    CEICdata.com, South Korea KR: Population Projection: Mid Year: Growth [Dataset]. https://www.ceicdata.com/en/korea/demographic-projection/kr-population-projection-mid-year-growth
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    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jun 1, 2039 - Jun 1, 2050
    Area covered
    South Korea
    Variables measured
    Population
    Description

    Korea Population Projection: Mid Year: Growth data was reported at -0.920 % in 2050. This records a decrease from the previous number of -0.880 % for 2049. Korea Population Projection: Mid Year: Growth data is updated yearly, averaging 0.330 % from Jun 1990 (Median) to 2050, with 61 observations. The data reached an all-time high of 1.160 % in 1992 and a record low of -0.920 % in 2050. Korea Population Projection: Mid Year: Growth data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s South Korea – Table KR.US Census Bureau: Demographic Projection.

  17. North Korea KP: Death Rate: Crude: per 1000 People

    • dr.ceicdata.com
    • ceicdata.com
    Updated Jun 5, 2025
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    CEICdata.com (2025). North Korea KP: Death Rate: Crude: per 1000 People [Dataset]. https://www.dr.ceicdata.com/en/north-korea/population-and-urbanization-statistics/kp-death-rate-crude-per-1000-people
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    Dataset updated
    Jun 5, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    North Korea
    Description

    North Korea KP: Death Rate: Crude: per 1000 People data was reported at 8.844 Ratio in 2016. This records an increase from the previous number of 8.750 Ratio for 2015. North Korea KP: Death Rate: Crude: per 1000 People data is updated yearly, averaging 8.662 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 14.165 Ratio in 1960 and a record low of 5.663 Ratio in 1990. North Korea KP: Death Rate: Crude: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s North Korea – Table KP.World Bank.WDI: Population and Urbanization Statistics. Crude death rate indicates the number of deaths occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.; ; (1) United Nations Population Division. World Population Prospects: 2017 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.; Weighted average;

  18. N

    North Korea KP: Birth Rate: Crude: per 1000 People

    • ceicdata.com
    Updated May 15, 2018
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    CEICdata.com (2018). North Korea KP: Birth Rate: Crude: per 1000 People [Dataset]. https://www.ceicdata.com/en/north-korea/population-and-urbanization-statistics/kp-birth-rate-crude-per-1000-people
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    Dataset updated
    May 15, 2018
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    North Korea
    Description

    North Korea KP: Birth Rate: Crude: per 1000 People data was reported at 13.834 Ratio in 2016. This records a decrease from the previous number of 13.873 Ratio for 2015. North Korea KP: Birth Rate: Crude: per 1000 People data is updated yearly, averaging 20.651 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 37.774 Ratio in 1968 and a record low of 13.834 Ratio in 2016. North Korea KP: Birth Rate: Crude: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s North Korea – Table KP.World Bank.WDI: Population and Urbanization Statistics. Crude birth rate indicates the number of live births occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.; ; (1) United Nations Population Division. World Population Prospects: 2017 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.; Weighted average;

  19. S

    South Korea KR: Fertility Rate: Total: Births per Woman

    • ceicdata.com
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    CEICdata.com, South Korea KR: Fertility Rate: Total: Births per Woman [Dataset]. https://www.ceicdata.com/en/korea/health-statistics/kr-fertility-rate-total-births-per-woman
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    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    South Korea
    Description

    Korea Fertility Rate: Total: Births per Woman data was reported at 1.172 Ratio in 2016. This records a decrease from the previous number of 1.239 Ratio for 2015. Korea Fertility Rate: Total: Births per Woman data is updated yearly, averaging 1.656 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 6.095 Ratio in 1960 and a record low of 1.076 Ratio in 2005. Korea Fertility Rate: Total: Births per Woman data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates of the specified year.; ; (1) United Nations Population Division. World Population Prospects: 2017 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.; Weighted average; Relevance to gender indicator: it can indicate the status of women within households and a woman’s decision about the number and spacing of children.

  20. South Korea KR: Number of Migrants: Net

    • ceicdata.com
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    CEICdata.com, South Korea KR: Number of Migrants: Net [Dataset]. https://www.ceicdata.com/en/korea/demographic-projection/kr-number-of-migrants-net
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    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jun 1, 2039 - Jun 1, 2050
    Area covered
    South Korea
    Variables measured
    Population
    Description

    Korea Number of Migrants: Net data was reported at -3,341.000 Person in 2050. This records a decrease from the previous number of 482.000 Person for 2049. Korea Number of Migrants: Net data is updated yearly, averaging 45,080.000 Person from Jun 1990 (Median) to 2050, with 61 observations. The data reached an all-time high of 141,470.000 Person in 2014 and a record low of -102,758.000 Person in 1996. Korea Number of Migrants: Net data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s South Korea – Table KR.US Census Bureau: Demographic Projection.

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CEICdata.com, South Korea KR: Population: Total [Dataset]. https://www.ceicdata.com/en/korea/population-and-urbanization-statistics/kr-population-total

South Korea KR: Population: Total

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Dataset provided by
CEICdata.com
License

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

Time period covered
Dec 1, 2005 - Dec 1, 2016
Area covered
South Korea
Variables measured
Population
Description

Korea Population: Total data was reported at 51,466,201.000 Person in 2017. This records an increase from the previous number of 51,245,707.000 Person for 2016. Korea Population: Total data is updated yearly, averaging 42,240,142.500 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 51,466,201.000 Person in 2017 and a record low of 25,012,374.000 Person in 1960. Korea Population: Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Korea – Table KR.World Bank.WDI: Population and Urbanization Statistics. 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.; ; (1) United Nations Population Division. World Population Prospects: 2017 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.; Sum; Relevance to gender indicator: disaggregating the population composition by gender will help a country in projecting its demand for social services on a gender basis.

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