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  1. meps.ahrq.gov/data_files/publications/cb27/cb27a.shtml
    January 01, 2022 - 48.7% Ohio 50.3% (Standard Error) (2.6%) (Standard Error) (2.9%) (Standard Error) … 53.3% (Standard Error) (2.8%) (Standard Error) (2.7%) (Standard Error) (2.4%) … Rhode Island 57.2%* (Standard Error) (2.7%) (Standard Error) (2.5%) (Standard Error) … 50.3% (Standard Error) (1.3%) (Standard Error) (3.0%) (Standard Error) (2.3%) … (Standard Error) (2.5%) (Standard Error) (1.9%) (Standard Error) (2.4%) Kansas
  2. meps.ahrq.gov/data_files/publications/cb25/cb25a.shtml
    January 01, 2020 - 50.2% Ohio 50.0% (Standard Error) (2.3%) (Standard Error) (2.5%) (Standard Error) … 56.1%* (Standard Error) (2.4%) (Standard Error) (2.3%) (Standard Error) (2.5%) … South Dakota 50.1% (Standard Error) (2.9%) (Standard Error) (2.6%) (Standard Error … 37.6%* Texas 47.4% (Standard Error) (2.1%) (Standard Error) (2.1%) (Standard Error … 46.1% (Standard Error) (1.3%) (Standard Error) (2.9%) (Standard Error) (2.0%)
  3. meps.ahrq.gov/data_files/publications/cb26/cb26a.shtml
    January 01, 2021 - 47.1% Ohio 51.5% (Standard Error) (2.4%) (Standard Error) (2.9%) (Standard Error) … 59.1%* (Standard Error) (2.5%) (Standard Error) (2.4%) (Standard Error) (2.7%) … South Dakota 49.1% (Standard Error) (2.9%) (Standard Error) (2.7%) (Standard Error … 41.6%* Texas 47.6% (Standard Error) (2.2%) (Standard Error) (2.2%) (Standard Error … (Standard Error) (2.3%) (Standard Error) (1.6%) (Standard Error) (2.4%) Kansas
  4. meps.ahrq.gov/data_files/publications/cb24/cb24a.shtml
    January 01, 2019 - 49.4% Ohio 50.3% (Standard Error) (4.1%) (Standard Error) (4.1%) (Standard Error) … 49.1% (Standard Error) (4.4%) (Standard Error) (4.4%) (Standard Error) (3.6%) … Island 58.3% (Standard Error) (4.4%) (Standard Error) (4.1%) (Standard Error) (4.2% … South Dakota 54.7% (Standard Error) (4.8%) (Standard Error) (4.8%) (Standard Error … 41.2%* Texas 50.2% (Standard Error) (3.9%) (Standard Error) (3.6%) (Standard Error)
  5. meps.ahrq.gov/data_files/publications/cb24/Exe_summary2.htm
    January 01, 2019 - 49.4% Ohio 50.3% (Standard Error) (4.1%) (Standard Error) (4.1%) (Standard Error) … 49.1% (Standard Error) (4.4%) (Standard Error) (4.4%) (Standard Error) (3.6%) … Island 58.3% (Standard Error) (4.4%) (Standard Error) (4.1%) (Standard Error) (4.2% … South Dakota 54.7% (Standard Error) (4.8%) (Standard Error) (4.8%) (Standard Error … 41.2%* Texas 50.2% (Standard Error) (3.9%) (Standard Error) (3.6%) (Standard Error)
  6. meps.ahrq.gov/data_files/publications/cb23/cb23a.shtml
    January 01, 2018 - 50.2% Ohio 46.1% (Standard Error) (3.8%) (Standard Error) (3.8%) (Standard Error) … 53.8% (Standard Error) (3.9%) (Standard Error) (3.8%) (Standard Error) (4.2%) … Dakota 47.2% (Standard Error) (4.7%) (Standard Error) (4.2%) (Standard Error) (3.4% … (Standard Error) (2.7%) (Standard Error) (4.4%) (Standard Error) (3.5%) Idaho … (Standard Error) (4.0%) (Standard Error) (3.1%) (Standard Error) (3.8%) Indiana
  7. meps.ahrq.gov/data_files/publications/cb22/cb22a.shtml
    January 01, 2017 - 51.4% Ohio 48.3% (Standard Error) (3.5%) (Standard Error) (3.9%) (Standard Error) … 59.6%* (Standard Error) (3.7%) (Standard Error) (3.8%) (Standard Error) (4.0%) … South Dakota 44.9% (Standard Error) (4.4%) (Standard Error) (4.0%) (Standard Error) … 42.1% Texas 43.0% (Standard Error) (3.3%) (Standard Error) (3.6%) (Standard Error) … (Standard Error) (3.8%) (Standard Error) (2.7%) (Standard Error) (4.0%) Kansas
  8. meps.ahrq.gov/data_files/publications/workingpapers/wp_06004.pdf
    May 01, 2006 - relative to the error for a single year. … Using three years of data would yield an error of .577 times the error of the one year sample and four … years would result in an error of .5 times the error of a single year sample. … The error used was the rse for each estimate. … year estimate, when error ratios are created with rse’s they are very similar to the error ratios for
  9. meps.ahrq.gov/data_files/publications/cb20/IC_Chartbook_Appendix2015.pdf
    August 01, 2016 - Note that the standard error on the national estimate of $5,963 is $26.40. … Note that the standard error on the national estimate of $11800 is $58.43. … Note that the standard error on the national estimate of $17322 is $95.48. … Note that the standard error on the national estimate of $1,255 is $14.44. … Note that the standard error on the national estimate of $25.04 is $0.12.
  10. meps.ahrq.gov/data_files/publications/cb20/IC_Chartbook_Appendix.pdf
    August 01, 2016 - Note that the standard error on the national estimate of $5,963 is $26.40. … Note that the standard error on the national estimate of $11800 is $58.43. … Note that the standard error on the national estimate of $17322 is $95.48. … Note that the standard error on the national estimate of $1,255 is $14.44. … Note that the standard error on the national estimate of $25.04 is $0.12.
  11. meps.ahrq.gov/data_files/publications/cb19/IC_Chartbook_Appendix2014.pdf
    August 01, 2015 - Note that the standard error on the national estimate of 83.2 percent is 0.26. … Note that the standard error on the national estimate of $1,234 is 12.92. … Note that the standard error on the national estimate of $3,097 is 40.42. … Note that the standard error on the national estimate of $4,518 is 48.39. … Note that the standard error on the national estimate of $24.77 is 0.12.
  12. meps.ahrq.gov/data_files/publications/cb19/IC_Chartbook_Appendix.pdf
    August 01, 2015 - Note that the standard error on the national estimate of 83.2 percent is 0.26. … Note that the standard error on the national estimate of $1,234 is 12.92. … Note that the standard error on the national estimate of $3,097 is 40.42. … Note that the standard error on the national estimate of $4,518 is 48.39. … Note that the standard error on the national estimate of $24.77 is 0.12.
  13. meps.ahrq.gov/data_stats/summ_tables/insr/national/series_4/2021/ic21_iva_b.pdf
    January 01, 2021 - 36,900 Total (in millions of dollars) 801,369 205,435 66,184 366,425 163,325 Standard error … 824 769 45 158 474 Standard error 11,194 3,006 1,077 6,331 3,422 Source: Agency … 328 307 13 52 181 Standard error 4,189 1,008 346 2,541 892 Standard error 235 226 … 9 40 137 Standard error 2,656 638 293 1,313 1,020 Source: Agency for Healthcare Research and … 291 254 8 75 159 Standard error 3,998 895 288 2,320 985 Wholesale trade Total Total
  14. Table IV (pdf file)

    meps.ahrq.gov/data_stats/summ_tables/insr/national/series_4/2019/ic19_iva_b.pdf
    January 01, 2019 - __________________________ Self-insured plans Total (in thousands of persons) Standard error … Agriculture, fishing, or forestry Total (in thousands of persons) Standard error … 33 Total (in millions of dollars) Standard error … 176 Total (in millions of dollars) Standard error … United States, 2019 Utilities or transportation Total (in thousands of persons) Standard error
  15. Ic20 Iva B (pdf file)

    meps.ahrq.gov/data_stats/summ_tables/insr/national/series_4/2020/ic20_iva_b.pdf
    January 01, 2020 - thousands of persons) 63,572 60,848 1,374 1,350 35,401 Standard error … millions of dollars) 760,112 192,651 60,099 351,032 156,331 Standard error … (in thousands of persons) 36,697 35,138 716 844 19,338 Standard error … millions of dollars) 454,242 106,974 32,548 227,556 87,165 Standard error … 123 122 5 2 61 Standard error Total costs Employer contribution
  16. ic22_iva_b (pdf file)

    meps.ahrq.gov/data_stats/summ_tables/insr/national/series_4/2022/ic22_iva_b.pdf
    January 01, 2022 - health plans for the private sector: United States, 2022 Total (in thousands of persons) Standard error … 1,830 174 Enrollees with single coverage 37,809 541 Total (in millions of dollars) Standard error … 215 212 6 9 136 Standard error 2,425 718 252 1,318 603 _______________________________ … 445 422 13 58 242 Standard error 6,257 1,592 469 3,237 1,498 _________________________ … 9,509 433 9,290 425 154 13 64 15 5,950 267 Total (in millions of dollars) Standard error
  17. meps.ahrq.gov/data_stats/summ_tables/insr/national/series_4/2023/ic23_iva_b.pdf
    January 01, 2023 - health plans for the private sector: United States, 2023 Total (in thousands of persons) Standard error … 2,226 210 Enrollees with single coverage 39,004 881 Total (in millions of dollars) Standard error … 611 596 32 61 386 Standard error 8,398 2,756 860 4,188 2,556 Self-insured plans Total … 1,344 1,261 85 200 830 Standard error 18,541 6,169 1,465 8,953 4,005 Source: Agency for … 442 423 9 39 227 Standard error 6,135 1,378 480 59,008Employer contribution non-single*
  18. Table IV (pdf file)

    meps.ahrq.gov/data_stats/summ_tables/insr/national/series_4/1999/ic99_tiva_b.pdf
    January 01, 1999 - 12 Enrollees with single coverage 441 55 Total (in millions of dollars) Standard error … Mining Total (in thousands of person) Standard error … 35 Total (in millions of dollars) Standard error … Unknown Total (in thousands of person) Standard error Total enrollees 1 1 Active enrollees … Mining / Self-insured plans Total (in thousand of persons) Standard error Total enrollees
  19. meps.ahrq.gov/data_stats/summ_tables/insr/national/series_4/2004/ic04_iva_b.pdf
    January 01, 2004 - coverage 32,841 331 Total (in millions of dollars) Standard error … ____________________________ Self-insured plans Total (in thousands of persons) Standard error … Agriculture, fishing, or forestry Total (in thousands of persons) Standard error … ________________________ Mining or manufacturing Total (in thousands of persons) Standard error … ___________________________________ Construction Total (in thousands of persons) Standard error
  20. Ic08 Iva B (pdf file)

    meps.ahrq.gov/data_stats/summ_tables/insr/national/series_4/2008/ic08_iva_b.pdf
    January 01, 2008 - coverage 36,716 527 Total (in millions of dollars) Standard error … ___________________________ Self-insured plans Total (in thousands of persons) Standard error … Agriculture, fishing, or forestry Total (in thousands of persons) Standard error … ________________________ Mining or manufacturing Total (in thousands of persons) Standard error … ___________________________________ Construction Total (in thousands of persons) Standard error

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