16 datasets found
  1. Forecast: Amish population growth in the United States from 2010-2050

    • statista.com
    Updated Aug 13, 2012
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    Statista (2012). Forecast: Amish population growth in the United States from 2010-2050 [Dataset]. https://www.statista.com/statistics/239553/amish-population-growth-in-the-us/
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    Dataset updated
    Aug 13, 2012
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2012
    Area covered
    United States
    Description

    This statistic shows a forecast for the number of Amish people and Amish settlements in the United States from 2010 to 2050. By the year 2050 it is expected that the Amish population will have approximately tripled and the total number will reach 912,258 people.

  2. Census of the Amish in Holmes County and the Surrounding Areas

    • thearda.com
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    Benjamin McKune, Census of the Amish in Holmes County and the Surrounding Areas [Dataset]. http://doi.org/10.17605/OSF.IO/DGPBY
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    Dataset provided by
    Association of Religion Data Archives
    Authors
    Benjamin McKune
    Description

    The Amish have largely remained an enigma to social science researchers, due to a lack of large-scale data. By coding data from directories of Amish in Holmes County, Ohio, and the surrounding areas (which contain information on roughly one in every six Amish in the world), this project provides a new source of data that allows people to explore demographics, occupational shifts, and retention among a significant proportion of the Old Order Amish.

    The investigator for this project, "https://www.legacy.com/obituaries/deseretnews/obituary.aspx?pid=170177679" Target="_blank">Benjamin McKune, was a graduate student at the "https://www.psu.edu/" Target="_blank">Pennsylvania State University and a Research Associate at the "/" Target="_blank">ARDA. In March 2014, he tragically passed away before he could finish his Ph.D. This dataset contains the data that he collected for his dissertation.

  3. U

    Amish Complex Genetic Disease Database

    • datacatalog.hshsl.umaryland.edu
    Updated May 5, 2025
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    HS/HSL (2025). Amish Complex Genetic Disease Database [Dataset]. https://datacatalog.hshsl.umaryland.edu/dataset/33
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    Dataset updated
    May 5, 2025
    Dataset authored and provided by
    HS/HSL
    Time period covered
    Jan 1, 1995 - Present
    Area covered
    Lancaster County
    Description

    The Amish Research Group of the University of Maryland School of Medicine has been studying the Old Order Amish population in Lancaster County, PA, since 1993. This database currently consists of health-related data on over 7,000 adults resulting from studies ranging from population and basic science to clinical and translational research. Areas of investigation include: Cardiovascular Risk, Diabetes, Bone Health, Blood Pressure, Vascular Imaging, Aging, Breast Tissue Density, Platelet Aggregation, Microbiome, Wellness, and Brain Imaging. Extensive genetic data (genotyping and sequencing) is also available.

  4. i

    Grant Giving Statistics for Mission to Amish People

    • instrumentl.com
    Updated May 17, 2022
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    (2022). Grant Giving Statistics for Mission to Amish People [Dataset]. https://www.instrumentl.com/990-report/mission-to-amish-people
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    Dataset updated
    May 17, 2022
    Variables measured
    Total Assets, Total Giving
    Description

    Financial overview and grant giving statistics of Mission to Amish People

  5. f

    Living the Good Life? Mortality and Hospital Utilization Patterns in the Old...

    • figshare.com
    tiff
    Updated May 30, 2023
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    Braxton D. Mitchell; Woei-Jyh Lee; Magdalena I. Tolea; Kelsey Shields; Zahra Ashktorab; Laurence S. Magder; Kathleen A. Ryan; Toni I. Pollin; Patrick F. McArdle; Alan R. Shuldiner; Alejandro A. Schäffer (2023). Living the Good Life? Mortality and Hospital Utilization Patterns in the Old Order Amish [Dataset]. http://doi.org/10.1371/journal.pone.0051560
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    tiffAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Braxton D. Mitchell; Woei-Jyh Lee; Magdalena I. Tolea; Kelsey Shields; Zahra Ashktorab; Laurence S. Magder; Kathleen A. Ryan; Toni I. Pollin; Patrick F. McArdle; Alan R. Shuldiner; Alejandro A. Schäffer
    License

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

    Description

    Lifespan increases observed in the United States and elsewhere throughout the developed world, have been attributed in part to improvements in medical care access and technology and to healthier lifestyles. To differentiate the relative contributions of these two factors, we have compared lifespan in the Old Order Amish (OOA), a population with historically low use of medical care, with that of Caucasian participants from the Framingham Heart Study (FHS), focusing on individuals who have reached at least age 30 years. Analyses were based on 2,108 OOA individuals from the Lancaster County, PA community born between 1890 and 1921 and 5,079 FHS participants born approximately the same time. Vital status was ascertained on 96.9% of the OOA cohort through 2011 and through systematic follow-up of the FHS cohort. The lifespan part of the study included an enlargement of the Anabaptist Genealogy Database to 539,822 individuals, which will be of use in other studies of the Amish. Mortality comparisons revealed that OOA men experienced better longevity (p

  6. u

    Data from: Prevalence, Control, and Treatment of Diabetes, Hypertension, and...

    • datacatalog.hshsl.umaryland.edu
    Updated Oct 5, 2020
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    (2020). Prevalence, Control, and Treatment of Diabetes, Hypertension, and High Cholesterol in the Amish [Dataset]. https://datacatalog.hshsl.umaryland.edu/search?keyword=subject_keywords:Hypertension
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    Dataset updated
    Oct 5, 2020
    Description

    Diabetes, hypertension, and hypercholesterolemia are three of the major risk factors for the development of cardiovascular disease (CVD), a leading cause of death in the United States. The burden of these disorders is not uniform across the country primarily due to socioeconomic status, cultural practices, and lifestyle. To evaluate the effect of these disparities, this study compared the prevalence of the 3 conditions in a subpopulation in the US with that of the general population. The Old Order Amish (OOA) community located in rural Pennsylvania is characterized by distinctive sociocultural practices that include a very cohesive social structure and limited use of modern technologies and medication. A total of 5377 OOA individuals took part in a community-wide survey which included a physical exam and fasting blood draw. The prevalence of the 3 risk factors in the Amish was then compared to the European Caucasian subsample of the 2013–2014 US National Health and Nutrition Examination Survey (NHANES). This dataset includes demographics, physical examination values, medication history, clinical measures associated blood pressure, cholesterol, and glucose, and statistical assessment and comparison data.

  7. f

    Demographics of Amish Exome Sequencing Samples.

    • plos.figshare.com
    xls
    Updated Jun 2, 2023
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    Laura N. D’Aoust; Anna C. Cummings; Renee Laux; Denise Fuzzell; Laura Caywood; Lori Reinhart-Mercer; William K. Scott; Margaret A. Pericak-Vance; Jonathan L. Haines (2023). Demographics of Amish Exome Sequencing Samples. [Dataset]. http://doi.org/10.1371/journal.pone.0118043.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Laura N. D’Aoust; Anna C. Cummings; Renee Laux; Denise Fuzzell; Laura Caywood; Lori Reinhart-Mercer; William K. Scott; Margaret A. Pericak-Vance; Jonathan L. Haines
    License

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

    Description

    Percent female, age of exam and onset averages and standard deviations were calculated for the 162 samples which passed QC for whole-exome sequencing.Demographics of Amish Exome Sequencing Samples.

  8. Demographics of Genetic Risk Score Samples.

    • figshare.com
    • plos.figshare.com
    xls
    Updated Jun 2, 2023
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    Laura N. D’Aoust; Anna C. Cummings; Renee Laux; Denise Fuzzell; Laura Caywood; Lori Reinhart-Mercer; William K. Scott; Margaret A. Pericak-Vance; Jonathan L. Haines (2023). Demographics of Genetic Risk Score Samples. [Dataset]. http://doi.org/10.1371/journal.pone.0118043.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Laura N. D’Aoust; Anna C. Cummings; Renee Laux; Denise Fuzzell; Laura Caywood; Lori Reinhart-Mercer; William K. Scott; Margaret A. Pericak-Vance; Jonathan L. Haines
    License

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

    Description

    Percent female, age of exam and onset averages and standard deviations were calculated for 629 Amish samples and the 971 samples from the unrelated dataset which passed QC for follow-up genotyping.Demographics of Genetic Risk Score Samples.

  9. Total population and farm population classified by religious affiliation,...

    • www150.statcan.gc.ca
    • ouvert.canada.ca
    • +1more
    Updated Nov 27, 2013
    + more versions
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    Government of Canada, Statistics Canada (2013). Total population and farm population classified by religious affiliation, Agriculture–National Household Survey Linkage, 2011, inactive [Dataset]. http://doi.org/10.25318/3210019801-eng
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    Dataset updated
    Nov 27, 2013
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Agriculture–National Household Survey Linkage, 2011. Total population and farm population classified by religious affiliation.

  10. f

    Data from: Let Nature Take Its Course: Attitudes and Knowledge of Chronic...

    • tandf.figshare.com
    pdf
    Updated May 12, 2025
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    Colin M. Yoder; Marc D. Schwabenlander; Roger Faust; Peter A. Larsen; Adam C. Landon; Tiffany M. Wolf (2025). Let Nature Take Its Course: Attitudes and Knowledge of Chronic Wasting Disease Among Southeastern Minnesota Amish Deer Hunters [Dataset]. http://doi.org/10.6084/m9.figshare.28923934.v1
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    pdfAvailable download formats
    Dataset updated
    May 12, 2025
    Dataset provided by
    Taylor & Francis
    Authors
    Colin M. Yoder; Marc D. Schwabenlander; Roger Faust; Peter A. Larsen; Adam C. Landon; Tiffany M. Wolf
    License

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

    Area covered
    Minnesota
    Description

    As chronic wasting disease (CWD) continues to spread, researchers have studied stakeholder attitudes, behaviors, and risk perceptions of deer hunting associated with CWD. Findings inform natural resource agencies’ methods to educate the public, address concerns, and implement management plans. However, little work has been done with underrepresented populations, such as the Amish. We conducted semi-structured interviews with male members of Amish communities in southeastern Minnesota, an area where CWD has been present in wild white-tailed deer (Odocoileus virginianus) for over a decade. Participants were asked about their knowledge of CWD, attitudes and behaviors regarding CWD, and sources of CWD information. Thematic analysis revealed that participants had limited CWD knowledge, perceived CWD as a low risk, and disliked culling as a management strategy, instead preferring to “let nature take its course.” The knowledge shared and gathered in this study provides information for Amish community-focused, CWD-related educational materials.

  11. f

    Details of Risk Loci from Meta-Analysis Used to Calculate Total Genetic Risk...

    • plos.figshare.com
    • figshare.com
    xls
    Updated Jun 4, 2023
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    Laura N. D’Aoust; Anna C. Cummings; Renee Laux; Denise Fuzzell; Laura Caywood; Lori Reinhart-Mercer; William K. Scott; Margaret A. Pericak-Vance; Jonathan L. Haines (2023). Details of Risk Loci from Meta-Analysis Used to Calculate Total Genetic Risk Score. [Dataset]. http://doi.org/10.1371/journal.pone.0118043.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Laura N. D’Aoust; Anna C. Cummings; Renee Laux; Denise Fuzzell; Laura Caywood; Lori Reinhart-Mercer; William K. Scott; Margaret A. Pericak-Vance; Jonathan L. Haines
    License

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

    Description

    Alleles, MAF, and overall OR are published values. Chr = chromosome. Pos = position in bp. MAF = minor allele frequency. OR = odds ratio. Adapted from Lambert, et al, 2013 [16]. Allele frequency was calculated using the 921 Amish samples and the 971 samples from the unrelated dataset that passed QC in the follow-up genotyping phase.Details of Risk Loci from Meta-Analysis Used to Calculate Total Genetic Risk Score.

  12. f

    MQLS-corrected allele frequencies and case-control association p-values for...

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Laura N. D’Aoust; Anna C. Cummings; Renee Laux; Denise Fuzzell; Laura Caywood; Lori Reinhart-Mercer; William K. Scott; Margaret A. Pericak-Vance; Jonathan L. Haines (2023). MQLS-corrected allele frequencies and case-control association p-values for the top variants in the full dataset. [Dataset]. http://doi.org/10.1371/journal.pone.0118043.t009
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Laura N. D’Aoust; Anna C. Cummings; Renee Laux; Denise Fuzzell; Laura Caywood; Lori Reinhart-Mercer; William K. Scott; Margaret A. Pericak-Vance; Jonathan L. Haines
    License

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

    Description

    Chr = chromosome. MAF = minor allele frequency. Nucleotide position is based upon the UCSC hg19 human reference genome. Gene annotated by SeattleSeq134.* Variant in implicated linkage regions.+ Variant in implicated AD gene.MQLS-corrected allele frequencies and case-control association p-values for the top variants in the full dataset.

  13. f

    Summary of variants identified within implicated linkage regions.

    • plos.figshare.com
    xls
    Updated Jun 3, 2023
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    Laura N. D’Aoust; Anna C. Cummings; Renee Laux; Denise Fuzzell; Laura Caywood; Lori Reinhart-Mercer; William K. Scott; Margaret A. Pericak-Vance; Jonathan L. Haines (2023). Summary of variants identified within implicated linkage regions. [Dataset]. http://doi.org/10.1371/journal.pone.0118043.t007
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    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Laura N. D’Aoust; Anna C. Cummings; Renee Laux; Denise Fuzzell; Laura Caywood; Lori Reinhart-Mercer; William K. Scott; Margaret A. Pericak-Vance; Jonathan L. Haines
    License

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

    Description

    Counts are displayed for the number of variants present in the human variation catalogs of dbSNP build 137 (dbSNP), ESP 6500 release (ESP), and 1000 Genomes April 2012 release (1000G). The number of novel variants identified in each implicated linkage region is also shown. Chr = chromosome. Mbp = megabase pair.Summary of variants identified within implicated linkage regions.

  14. f

    Annualized rates of first-listed and any-listed hospital discharges in the...

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Braxton D. Mitchell; Woei-Jyh Lee; Magdalena I. Tolea; Kelsey Shields; Zahra Ashktorab; Laurence S. Magder; Kathleen A. Ryan; Toni I. Pollin; Patrick F. McArdle; Alan R. Shuldiner; Alejandro A. Schäffer (2023). Annualized rates of first-listed and any-listed hospital discharges in the Lancaster County Old Order Amish and in US Caucasians from the National Health Discharge Survey (2002–2004), ages 25 years and older (expressed as # discharges per yr/10,000 people). [Dataset]. http://doi.org/10.1371/journal.pone.0051560.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Braxton D. Mitchell; Woei-Jyh Lee; Magdalena I. Tolea; Kelsey Shields; Zahra Ashktorab; Laurence S. Magder; Kathleen A. Ryan; Toni I. Pollin; Patrick F. McArdle; Alan R. Shuldiner; Alejandro A. Schäffer
    License

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

    Area covered
    Lancaster County
    Description

    Symptoms = alteration of consciousness, hallucinations, syncope and collapse, convulsions, dizziness, sleep disturbances, fever, malaise and fatigue, hyperhidrosis and other general symptoms;*Supplementary = potential health hazards related to different personal and family circumstances, and health services encountered for different reasons including birth.

  15. TAS2R38 and Its Influence on Smoking Behavior and Glucose Homeostasis in the...

    • plos.figshare.com
    doc
    Updated Jun 1, 2023
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    Maria Keller; Xuanshi Liu; Tobias Wohland; Kerstin Rohde; Marie-Therese Gast; Michael Stumvoll; Peter Kovacs; Anke Tönjes; Yvonne Böttcher (2023). TAS2R38 and Its Influence on Smoking Behavior and Glucose Homeostasis in the German Sorbs [Dataset]. http://doi.org/10.1371/journal.pone.0080512
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    docAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Maria Keller; Xuanshi Liu; Tobias Wohland; Kerstin Rohde; Marie-Therese Gast; Michael Stumvoll; Peter Kovacs; Anke Tönjes; Yvonne Böttcher
    License

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

    Description

    BackgroundGenetic variants within the bitter taste receptor gene TAS2R38 are associated with sensitivity to bitter taste and are related to eating behavior in the Amish population. Sensitivity to bitter taste is further related to anthropometric traits in an genetically isolated Italian population. We tested whether the TAS2R38 variants (rs713598; rs1726866 and rs10246939) may be related to eating behavior, anthropometric parameters, metabolic traits and consumer goods intake in the German Sorbs.Materials and MethodsThe three SNPs were genotyped in a total cohort of 1007 individuals (male/female: 405/602). The German version of the three-factor eating questionnaire was completed by 548 individuals. Genetic association analyses for smoking behavior, alcohol and coffee intake, eating behavior factors (restraint, disinhibition and hunger) and other metabolic traits were analyzed. Further, by combining the three SNPs we applied comparative haplotype analyses categorizing PAV (proline-alanine-valine) carriers (tasters) vs. homozygous AVI (alanin-valine-isoleucine) carriers (non-tasters).ResultsSignificant associations of genetic variants within TAS2R38 were identified with percentage of body fat, which were driven by associations in women. In men, we observed significant associations with 30 min plasma glucose, and area under the curve for plasma glucose (0–120 min) (all adjusted P≤0.05). Further, we found that carriers of at least one PAV allele show significantly lower cigarette smoking per day (P = 0.002) as well as, albeit non-significant, lower alcohol intake. We did not confirm previously reported associations between genetic variants of TAS2R38 and eating behavior.ConclusionOur data suggest that genetic variation in TAS2R38 is related to individual body composition measures and may further influence consumer goods intake in the Sorbs possibly via individual sensitivity to bitter taste.

  16. f

    Rare variant kinship test (RVKT) results from two genetic studies in the...

    • plos.figshare.com
    xls
    Updated Jun 5, 2023
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    Kaanan P. Shah; Julie A. Douglas (2023). Rare variant kinship test (RVKT) results from two genetic studies in the Amish. [Dataset]. http://doi.org/10.1371/journal.pone.0062545.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Kaanan P. Shah; Julie A. Douglas
    License

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

    Description

    aBased on 728 pre-menopausal women from our study of mammographic density, and after standardizing by batch and adjusting for age, an estimated narrow-sense heritability of approximately 24% (for prolactin) and 34% (for free estradiol).bBased on 753 post-menopausal women from our study of mammographic density, and after standardizing by batch and adjusting for age, an estimated narrow-sense heritability of approximately 35%.cBased on 868 men and women from the HAPI Heart study, and after adjusting for age and sex, an estimated narrow-sense heritability of approximately 49%.dBased on 10,000 simulations under the null hypothesis of a purely polygenic trait architecture.

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Statista (2012). Forecast: Amish population growth in the United States from 2010-2050 [Dataset]. https://www.statista.com/statistics/239553/amish-population-growth-in-the-us/
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Forecast: Amish population growth in the United States from 2010-2050

Explore at:
Dataset updated
Aug 13, 2012
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2012
Area covered
United States
Description

This statistic shows a forecast for the number of Amish people and Amish settlements in the United States from 2010 to 2050. By the year 2050 it is expected that the Amish population will have approximately tripled and the total number will reach 912,258 people.

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