27 datasets found
  1. D

    Dimethyl Adipatedma Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Oct 16, 2024
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    Dataintelo (2024). Dimethyl Adipatedma Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/dimethyl-adipatedma-market
    Explore at:
    csv, pptx, pdfAvailable download formats
    Dataset updated
    Oct 16, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Dimethyl Adipate (DMA) Market Outlook



    The global Dimethyl Adipate (DMA) market size was valued at USD 1.2 billion in 2023 and is projected to reach USD 2.3 billion by 2032, expanding at a compound annual growth rate (CAGR) of 7.1% during the forecast period. This robust growth can be attributed to increasing demand across various industries, including automotive, paints & coatings, personal care, and pharmaceuticals, among others. The growth factors for this market are multifaceted, ranging from the rising population and urbanization to the growing trend of eco-friendly and biodegradable products in various applications.



    One of the primary growth drivers for the DMA market is the increasing demand for environmentally friendly solvents. With global awareness of environmental sustainability rising, industries are increasingly adopting greener alternatives to traditional solvents, which often contain harmful volatile organic compounds (VOCs). Dimethyl adipate, being a biodegradable and less toxic option, is witnessing heightened demand, particularly in the paints and coatings industry, where VOC regulations are stringent. This shift towards greener alternatives is expected to continue, driving the market growth significantly.



    Another significant growth factor is the expanding automotive industry, particularly in emerging economies. Dimethyl adipate is used extensively in the production of plasticizers, which are vital for manufacturing flexible plastics used in automotive interiors and exteriors. As automotive production scales up in countries like China and India, the demand for DMA is expected to rise correspondingly. Furthermore, the trend towards lightweight and fuel-efficient vehicles is pushing manufacturers to use advanced plastic materials, further bolstering the demand for DMA.



    Additionally, the personal care and pharmaceutical industries are contributing to the market's growth. In personal care products, DMA is used as an ingredient in formulations due to its excellent solvency and low toxicity. The pharmaceutical industry, too, uses DMA in various formulations and drug delivery systems. As the global population ages and healthcare needs expand, demand from these end-user industries is likely to grow, providing a steady boost to the DMA market.



    Regionally, Asia Pacific is expected to be the largest and fastest-growing market for DMA, owing to the rapid industrialization and urbanization in countries like China, India, and Southeast Asian nations. North America and Europe are also significant markets, driven by stringent environmental regulations and the increasing adoption of eco-friendly products. Latin America, the Middle East, and Africa are emerging as potential markets due to growing industrial activities and increasing investments in these regions.



    Application Analysis



    Plasticizers Analysis



    Plasticizers are among the most significant applications of Dimethyl Adipate, accounting for a substantial share of the market. DMA is used to produce flexible and durable plastics, which are essential in various industries, particularly in automotive and construction. The growing demand for lightweight and fuel-efficient vehicles is propelling the use of plasticizers in the automotive sector. Countries like China and India, where automotive production is booming, are contributing significantly to the demand for DMA. The construction industry also uses plasticizers in flexible PVC applications, further supporting market growth.



    Moreover, the trend towards sustainable and eco-friendly products is influencing the plasticizer market. Traditional plasticizers often contain phthalates, which have been associated with health and environmental risks. As a result, manufacturers are shifting towards non-phthalate plasticizers like Dimethyl Adipate. This shift not only aligns with regulatory requirements but also meets consumer demand for safer products. Consequently, the plasticizer segment is expected to witness robust growth during the forecast period.



    Technological advancements in plasticizer formulations are also playing a pivotal role in market expansion. Innovations aimed at enhancing the performance characteristics of plasticizers, such as improved flexibility, durability, and weather resistance, are driving the adoption of DMA-based plasticizers. These advancements are particularly crucial for applications requiring high-performance materials, such as in automotive and construction sectors, ensuring steady market growth.



    The global

  2. f

    Summary of food groups with MMA regression slope p-values ≤0.15 (results...

    • plos.figshare.com
    xls
    Updated Jun 9, 2023
    + more versions
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    B. Rey deCastro; Kathleen L. Caldwell; Robert L. Jones; Benjamin C. Blount; Yi Pan; Cynthia Ward; Mary E. Mortensen (2023). Summary of food groups with MMA regression slope p-values ≤0.15 (results identical to those in Table S3). [Dataset]. http://doi.org/10.1371/journal.pone.0108098.t005
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 9, 2023
    Dataset provided by
    PLOS ONE
    Authors
    B. Rey deCastro; Kathleen L. Caldwell; Robert L. Jones; Benjamin C. Blount; Yi Pan; Cynthia Ward; Mary E. Mortensen
    License

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

    Description

    Complete tabulation of model slopes is in Table S2–S3.Significant: p-Value ≤0.05.Marginally Significant: 0.05 < p-Value ≤0.15.*: Data on rice beverage/milk consumption available for adults only during NHANES 2003–2010.Summary of food groups with MMA regression slope p-values ≤0.15 (results identical to those in Table S3).

  3. U.S. TV - African-American markets by share of households 2018

    • statista.com
    Updated Jul 8, 2025
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    Statista (2025). U.S. TV - African-American markets by share of households 2018 [Dataset]. https://www.statista.com/statistics/868594/african-american-television-markets-share/
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    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic displays the share of TV households in selected DMA markets that are African American in the United States in the 2017/18 season. According to the source, almost ** percent of TV households in Memphis during the 2017/2018 season were African American.

  4. M

    Dominica Population Density | Historical Chart | Data | 1961-2022

    • macrotrends.net
    csv
    Updated Jul 31, 2025
    + more versions
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    MACROTRENDS (2025). Dominica Population Density | Historical Chart | Data | 1961-2022 [Dataset]. https://www.macrotrends.net/datasets/global-metrics/countries/dma/dominica/population-density
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jul 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    Jan 1, 1961 - Dec 31, 2022
    Area covered
    Dominica
    Description

    Historical dataset showing Dominica population density by year from 1961 to 2022.

  5. M

    Dominica Population Growth Rate | Historical Chart | Data | 1961-2023

    • macrotrends.net
    csv
    Updated Jul 31, 2025
    + more versions
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    MACROTRENDS (2025). Dominica Population Growth Rate | Historical Chart | Data | 1961-2023 [Dataset]. https://www.macrotrends.net/datasets/global-metrics/countries/dma/dominica/population-growth-rate
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jul 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    Jan 1, 1961 - Dec 31, 2023
    Area covered
    Dominica
    Description

    Historical dataset showing Dominica population growth rate by year from 1961 to 2023.

  6. f

    Data from: Descriptive characteristics.

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    David H. Chae; Sean Clouston; Mark L. Hatzenbuehler; Michael R. Kramer; Hannah L. F. Cooper; Sacoby M. Wilson; Seth I. Stephens-Davidowitz; Robert S. Gold; Bruce G. Link (2023). Descriptive characteristics. [Dataset]. http://doi.org/10.1371/journal.pone.0122963.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    David H. Chae; Sean Clouston; Mark L. Hatzenbuehler; Michael R. Kramer; Hannah L. F. Cooper; Sacoby M. Wilson; Seth I. Stephens-Davidowitz; Robert S. Gold; Bruce G. Link
    License

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

    Description

    Note: Among ≥ 25 years of age. Area characteristics at the designated market area level from the American Community Survey, 2004–2009 for urbanicity (% living in a city with ≥ 50,000 people); % Black; education among Blacks (% with up to high school education); and poverty among Blacks (% households in poverty). Race-specific age and sex-adjusted mortality rates weighted using the US 2000 standard population per 100,000 person-years from death certificates and mid-year population counts collated by the National Center for Health Statistics, 2004–2009.Descriptive characteristics.

  7. TV households in the largest local TV markets in the U.S. 2020-2021

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). TV households in the largest local TV markets in the U.S. 2020-2021 [Dataset]. https://www.statista.com/statistics/203008/tv-households-in-the-largest-local-tv-markets-in-the-us/
    Explore at:
    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the ********* TV season, the DMA (designated market area) with the most TV households in the United States was New York, with **** million TV households. Ranking second, albeit far behind New York, was Los Angeles, with **** million. Smaller markets like Phoenix, Tampa-St. Pete, Seattle-Tacoma, Detroit, and Minneapolis-St. Paul all had between **** and **** million television households each.

  8. H

    Dominica - Spatial Distribution of Population (2015-2030)

    • data.humdata.org
    geotiff
    Updated Aug 26, 2025
    + more versions
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    WorldPop (2025). Dominica - Spatial Distribution of Population (2015-2030) [Dataset]. https://data.humdata.org/dataset/worldpop-population-counts-2015-2030-dma
    Explore at:
    geotiff(7235), geotiff(7257), geotiff(129709), geotiff(129373), geotiff(129989), geotiff(129339), geotiff(7214), geotiff(128041), geotiff(129751), geotiff(7244), geotiff(129415), geotiff(129509), geotiff(128873), geotiff(129673), geotiff(127639), geotiff(129829), geotiff(129369), geotiff(7237), geotiff(7253), geotiff(7256), geotiff(128555), geotiff(7229), geotiff(129685), geotiff(7231), geotiff(7238), geotiff(127969), geotiff(7233), geotiff(7255), geotiff(7246)Available download formats
    Dataset updated
    Aug 26, 2025
    Dataset provided by
    WorldPop
    Description

    Constrained estimates, total number of people per grid-cell. The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The units are number of people per pixel. The mapping approach is Random Forest-based dasymetric redistribution.

    More information can be found in the Release Statement

    The difference between constrained and unconstrained is explained on this page: https://www.worldpop.org/methods/top_down_constrained_vs_unconstrained

  9. M

    Dominica Population | Historical Data | Chart | 1950-2025

    • macrotrends.net
    csv
    Updated Aug 31, 2025
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    MACROTRENDS (2025). Dominica Population | Historical Data | Chart | 1950-2025 [Dataset]. https://www.macrotrends.net/datasets/global-metrics/countries/dma/dominica/population
    Explore at:
    csvAvailable download formats
    Dataset updated
    Aug 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    Jan 1, 1950 - Dec 31, 2025
    Area covered
    Dominica
    Description

    Historical dataset showing total population for Dominica by year from 1950 to 2025.

  10. f

    Sample-weighted 25th, 50th, and 75th percentiles for creatinine-adjusted...

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
    + more versions
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    B. Rey deCastro; Kathleen L. Caldwell; Robert L. Jones; Benjamin C. Blount; Yi Pan; Cynthia Ward; Mary E. Mortensen (2023). Sample-weighted 25th, 50th, and 75th percentiles for creatinine-adjusted urinary DMA [µmol/mol Cre] for NHANES 2003–2010 data used in the regression models displayed in Tables 3 and 4. [Dataset]. http://doi.org/10.1371/journal.pone.0108098.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    B. Rey deCastro; Kathleen L. Caldwell; Robert L. Jones; Benjamin C. Blount; Yi Pan; Cynthia Ward; Mary E. Mortensen
    License

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

    Description

    Cre: creatinine.Sample-weighted 25th, 50th, and 75th percentiles for creatinine-adjusted urinary DMA [µmol/mol Cre] for NHANES 2003–2010 data used in the regression models displayed in Tables 3 and 4.

  11. U.S. population of metropolitan areas in 2023

    • statista.com
    Updated Jul 26, 2024
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    Statista (2024). U.S. population of metropolitan areas in 2023 [Dataset]. https://www.statista.com/statistics/183600/population-of-metropolitan-areas-in-the-us/
    Explore at:
    Dataset updated
    Jul 26, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, the metropolitan area of New York-Newark-Jersey City had the biggest population in the United States. Based on annual estimates from the census, the metropolitan area had around 19.5 million inhabitants, which was a slight decrease from the previous year. The Los Angeles and Chicago metro areas rounded out the top three. What is a metropolitan statistical area? In general, a metropolitan statistical area (MSA) is a core urbanized area with a population of at least 50,000 inhabitants – the smallest MSA is Carson City, with an estimated population of nearly 56,000. The urban area is made bigger by adjacent communities that are socially and economically linked to the center. MSAs are particularly helpful in tracking demographic change over time in large communities and allow officials to see where the largest pockets of inhabitants are in the country. How many MSAs are in the United States? There were 421 metropolitan statistical areas across the U.S. as of July 2021. The largest city in each MSA is designated the principal city and will be the first name in the title. An additional two cities can be added to the title, and these will be listed in population order based on the most recent census. So, in the example of New York-Newark-Jersey City, New York has the highest population, while Jersey City has the lowest. The U.S. Census Bureau conducts an official population count every ten years, and the new count is expected to be announced by the end of 2030.

  12. M

    Dominica Urban Population | Historical Chart | Data | 1960-2023

    • macrotrends.net
    csv
    Updated Jul 31, 2025
    + more versions
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    MACROTRENDS (2025). Dominica Urban Population | Historical Chart | Data | 1960-2023 [Dataset]. https://www.macrotrends.net/datasets/global-metrics/countries/dma/dominica/urban-population
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jul 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    Jan 1, 1960 - Dec 31, 2023
    Area covered
    Dominica
    Description

    Historical dataset showing Dominica urban population by year from 1960 to 2023.

  13. f

    Negative binomial regression models estimating associations between area...

    • plos.figshare.com
    xls
    Updated May 30, 2023
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    David H. Chae; Sean Clouston; Mark L. Hatzenbuehler; Michael R. Kramer; Hannah L. F. Cooper; Sacoby M. Wilson; Seth I. Stephens-Davidowitz; Robert S. Gold; Bruce G. Link (2023). Negative binomial regression models estimating associations between area racism and Black cause-specific mortality rates. [Dataset]. http://doi.org/10.1371/journal.pone.0122963.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOS ONE
    Authors
    David H. Chae; Sean Clouston; Mark L. Hatzenbuehler; Michael R. Kramer; Hannah L. F. Cooper; Sacoby M. Wilson; Seth I. Stephens-Davidowitz; Robert S. Gold; Bruce G. Link
    License

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

    Description

    Note: MRR = Mortality Rate Ratio; CI = confidence interval.Among ≥ 25 years of age. Race-specific age and sex-adjusted mortality rates weighted using the US 2000 standard population per 100,000 person-years from death certificates and mid-year population counts collated by the National Center for Health Statistics (NCHS), 2004–2009. All models adjusted for individual age, sex, year of death, and Census region; area characteristics at the designated market area (DMA) level (urbanicity, % Black, % high school education among Blacks, Black poverty rate) from the American Community Survey, 2004–2009; and corresponding DMA-level White cause-specific mortality rates per 100,000 person-years from NCHS.Negative binomial regression models estimating associations between area racism and Black cause-specific mortality rates.

  14. a

    2019 USA Tapestry Segmentation

    • arcgishub.hub.arcgis.com
    Updated Feb 28, 2020
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    ArcGIS Hub (2020). 2019 USA Tapestry Segmentation [Dataset]. https://arcgishub.hub.arcgis.com/datasets/place-9
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    Dataset updated
    Feb 28, 2020
    Dataset authored and provided by
    ArcGIS Hub
    Area covered
    Description

    This service offers Esri's Updated Demographics, Census Data, Tapestry Segmentation, and Business Summary data for the United States. Updates are based on the decennial census, Infogroup business data, other public and proprietary data sources, and proprietary models.

    All attributes are available at all geography levels: country, state, county, tract, block group, ZIP code, place, county subdivision, congressional district, core-based statistical area (CBSA), and designated market area (DMA).

    There are over 2,100 attributes in categories such as: population, households, race and ethnicity, educational attainment, marital status, employment by industry and occupation, income, net worth, housing and home value, number of businesses and employees, sales, and many others. Key attributes from the 2010 Census such as population, are presented for reference. Some attributes such as population, income, and home value, are also projected five years to 2021.

    Esri offers Updated Demographics for 2019 and 2024 and Tapestry Segmentation for 2019. Esri provides Census Data for geographies not supplied by the Census Bureau including ZIP Codes and DMAs.

    To view ArcGIS Online items using this service, including the terms of use, visit http://goto.arcgisonline.com/demographics9/USA_Demographics_and_Boundaries_2019.

  15. U.S. TV - Hispanic/Latino markets by share of households 2018

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). U.S. TV - Hispanic/Latino markets by share of households 2018 [Dataset]. https://www.statista.com/statistics/868598/hispanic-television-markets-share/
    Explore at:
    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic displays the share of TV households in selected DMA markets that are Hispanic/Latino in the United States in the 2017/18 season. According to the source, over ** percent of TV households in San Antonio during the 2017/2018 season were Hispanic/Latino.

  16. a

    ZIP Code

    • arcgishub.hub.arcgis.com
    Updated Feb 27, 2020
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    ArcGIS Hub (2020). ZIP Code [Dataset]. https://arcgishub.hub.arcgis.com/datasets/zip-code-24/geoservice
    Explore at:
    Dataset updated
    Feb 27, 2020
    Dataset authored and provided by
    ArcGIS Hub
    Area covered
    Description

    This service offers Esri's Updated Demographics, Census Data, Tapestry Segmentation, and Business Summary data for the United States. Updates are based on the decennial census, Infogroup business data, other public and proprietary data sources, and proprietary models.

    All attributes are available at all geography levels: country, state, county, tract, block group, ZIP code, place, county subdivision, congressional district, core-based statistical area (CBSA), and designated market area (DMA).

    There are over 2,100 attributes in categories such as: population, households, race and ethnicity, educational attainment, marital status, employment by industry and occupation, income, net worth, housing and home value, number of businesses and employees, sales, and many others. Key attributes from the 2010 Census such as population, are presented for reference. Some attributes such as population, income, and home value, are also projected five years to 2021.

    Esri offers Updated Demographics for 2019 and 2024 and Tapestry Segmentation for 2019. Esri provides Census Data for geographies not supplied by the Census Bureau including ZIP Codes and DMAs.

    To view ArcGIS Online items using this service, including the terms of use, visit http://goto.arcgisonline.com/demographics9/USA_Demographics_and_Boundaries_2019.

  17. f

    Co-localization of AS3MT eQTLs identified in GTEx tissues with the...

    • datasetcatalog.nlm.nih.gov
    Updated Jan 20, 2023
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    Cole, Shelley; Ahsan, Habib; Chen, Lin; Kibriya, Muhammad G.; Umans, Jason G.; Karagas, Margaret R.; Graziano, Joseph; Chernoff, Meytal Batya; Navas-Acien, Ana; Nelson, Heather; Kent, Jack; Pierce, Brandon L.; Huang, Lei; Tong, Lin; Haack, Karin; Delgado, Dayana; Jasmine, Farzana; Tamayo, Lizeth I.; Best, Lyle G.; Oliva, Meritxell (2023). Co-localization of AS3MT eQTLs identified in GTEx tissues with the association signal for DMA% (lead SNP rs4919687) identified in a Bangladeshi population across a range of prior probabilities. [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001084391
    Explore at:
    Dataset updated
    Jan 20, 2023
    Authors
    Cole, Shelley; Ahsan, Habib; Chen, Lin; Kibriya, Muhammad G.; Umans, Jason G.; Karagas, Margaret R.; Graziano, Joseph; Chernoff, Meytal Batya; Navas-Acien, Ana; Nelson, Heather; Kent, Jack; Pierce, Brandon L.; Huang, Lei; Tong, Lin; Haack, Karin; Delgado, Dayana; Jasmine, Farzana; Tamayo, Lizeth I.; Best, Lyle G.; Oliva, Meritxell
    Description

    Co-localization of AS3MT eQTLs identified in GTEx tissues with the association signal for DMA% (lead SNP rs4919687) identified in a Bangladeshi population across a range of prior probabilities.

  18. M

    Dominica Rural Population | Historical Chart | Data | 1960-2023

    • macrotrends.net
    csv
    Updated Jul 31, 2025
    + more versions
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    MACROTRENDS (2025). Dominica Rural Population | Historical Chart | Data | 1960-2023 [Dataset]. https://www.macrotrends.net/datasets/global-metrics/countries/dma/dominica/rural-population
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jul 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    Jan 1, 1960 - Dec 31, 2023
    Area covered
    Dominica
    Description

    Historical dataset showing Dominica rural population by year from 1960 to 2023.

  19. f

    Nested negative binomial regression models estimating associations with...

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    David H. Chae; Sean Clouston; Mark L. Hatzenbuehler; Michael R. Kramer; Hannah L. F. Cooper; Sacoby M. Wilson; Seth I. Stephens-Davidowitz; Robert S. Gold; Bruce G. Link (2023). Nested negative binomial regression models estimating associations with Black all-cause mortality rates. [Dataset]. http://doi.org/10.1371/journal.pone.0122963.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    David H. Chae; Sean Clouston; Mark L. Hatzenbuehler; Michael R. Kramer; Hannah L. F. Cooper; Sacoby M. Wilson; Seth I. Stephens-Davidowitz; Robert S. Gold; Bruce G. Link
    License

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

    Description

    Note: MRR = Mortality Rate Ratio; CI = confidence interval; AIC = Akaike Information Criteria; RL = Relative Likelihood.Among ≥ 25 years of age. Race-specific age and sex-adjusted mortality rates weighted using the US 2000 standard population per 100,000 person-years from death certificates and mid-year population counts collated by the National Center for Health Statistics, 2004–2009. Area characteristics at the designated market area level from the American Community Survey, 2004–2009 for urbanicity (% living in a city with ≥ 50,000 people); % Black; education among Blacks (% with up to high school education); and poverty among Blacks (% households in poverty). All models adjusted for individual age, sex, year of death, and Census region.Nested negative binomial regression models estimating associations with Black all-cause mortality rates.

  20. H

    Dominica: Copernicus Global Human Settlement Layer (GHSL)

    • data.humdata.org
    geotiff
    Updated Jan 9, 2025
    + more versions
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    Copernicus (2025). Dominica: Copernicus Global Human Settlement Layer (GHSL) [Dataset]. https://data.humdata.org/dataset/dma-ghsl
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    geotiff(76838), geotiff(21993)Available download formats
    Dataset updated
    Jan 9, 2025
    Dataset provided by
    Copernicus
    License

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

    Description

    Open and free data for assessing the human presence on the planet.

    The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources.

    The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.

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Dataintelo (2024). Dimethyl Adipatedma Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/dimethyl-adipatedma-market

Dimethyl Adipatedma Market Report | Global Forecast From 2025 To 2033

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csv, pptx, pdfAvailable download formats
Dataset updated
Oct 16, 2024
Dataset authored and provided by
Dataintelo
License

https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

Time period covered
2024 - 2032
Area covered
Global
Description

Dimethyl Adipate (DMA) Market Outlook



The global Dimethyl Adipate (DMA) market size was valued at USD 1.2 billion in 2023 and is projected to reach USD 2.3 billion by 2032, expanding at a compound annual growth rate (CAGR) of 7.1% during the forecast period. This robust growth can be attributed to increasing demand across various industries, including automotive, paints & coatings, personal care, and pharmaceuticals, among others. The growth factors for this market are multifaceted, ranging from the rising population and urbanization to the growing trend of eco-friendly and biodegradable products in various applications.



One of the primary growth drivers for the DMA market is the increasing demand for environmentally friendly solvents. With global awareness of environmental sustainability rising, industries are increasingly adopting greener alternatives to traditional solvents, which often contain harmful volatile organic compounds (VOCs). Dimethyl adipate, being a biodegradable and less toxic option, is witnessing heightened demand, particularly in the paints and coatings industry, where VOC regulations are stringent. This shift towards greener alternatives is expected to continue, driving the market growth significantly.



Another significant growth factor is the expanding automotive industry, particularly in emerging economies. Dimethyl adipate is used extensively in the production of plasticizers, which are vital for manufacturing flexible plastics used in automotive interiors and exteriors. As automotive production scales up in countries like China and India, the demand for DMA is expected to rise correspondingly. Furthermore, the trend towards lightweight and fuel-efficient vehicles is pushing manufacturers to use advanced plastic materials, further bolstering the demand for DMA.



Additionally, the personal care and pharmaceutical industries are contributing to the market's growth. In personal care products, DMA is used as an ingredient in formulations due to its excellent solvency and low toxicity. The pharmaceutical industry, too, uses DMA in various formulations and drug delivery systems. As the global population ages and healthcare needs expand, demand from these end-user industries is likely to grow, providing a steady boost to the DMA market.



Regionally, Asia Pacific is expected to be the largest and fastest-growing market for DMA, owing to the rapid industrialization and urbanization in countries like China, India, and Southeast Asian nations. North America and Europe are also significant markets, driven by stringent environmental regulations and the increasing adoption of eco-friendly products. Latin America, the Middle East, and Africa are emerging as potential markets due to growing industrial activities and increasing investments in these regions.



Application Analysis



Plasticizers Analysis



Plasticizers are among the most significant applications of Dimethyl Adipate, accounting for a substantial share of the market. DMA is used to produce flexible and durable plastics, which are essential in various industries, particularly in automotive and construction. The growing demand for lightweight and fuel-efficient vehicles is propelling the use of plasticizers in the automotive sector. Countries like China and India, where automotive production is booming, are contributing significantly to the demand for DMA. The construction industry also uses plasticizers in flexible PVC applications, further supporting market growth.



Moreover, the trend towards sustainable and eco-friendly products is influencing the plasticizer market. Traditional plasticizers often contain phthalates, which have been associated with health and environmental risks. As a result, manufacturers are shifting towards non-phthalate plasticizers like Dimethyl Adipate. This shift not only aligns with regulatory requirements but also meets consumer demand for safer products. Consequently, the plasticizer segment is expected to witness robust growth during the forecast period.



Technological advancements in plasticizer formulations are also playing a pivotal role in market expansion. Innovations aimed at enhancing the performance characteristics of plasticizers, such as improved flexibility, durability, and weather resistance, are driving the adoption of DMA-based plasticizers. These advancements are particularly crucial for applications requiring high-performance materials, such as in automotive and construction sectors, ensuring steady market growth.



The global

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