1910 complete-count integrated public use microdata series (ipums) Search Results


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MicroData Instrument Inc 1910 complete-count integrated public use microdata series (ipums)
1910 Complete Count Integrated Public Use Microdata Series (Ipums), supplied by MicroData Instrument Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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MicroData Instrument Inc ipums complete-count microdata databases
Ipums Complete Count Microdata Databases, supplied by MicroData Instrument Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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MicroData Instrument Inc ipums restricted complete count census
Age-specific infectious disease mortality disparity. Notes: Ratio of nonwhite-to-white mortality from infectious diseases in U.S. cities, 1906–1933. The vertical line shows the change in age classifications from 1921 to 1922, which only applies to ages 30 and up. The line only appears on graphs where the age-grouping changes after 1921. Sources: Mortality data by age and racial classification from published volumes of the Vital Statistics of the United States . Racial-group- and age-specific population counts (for the denominators) from the <t>IPUMS</t> <t>Restricted</t> Complete Count Census data.
Ipums Restricted Complete Count Census, supplied by MicroData Instrument Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/ipums restricted complete count census/product/MicroData Instrument Inc
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ipums restricted complete count census - by Bioz Stars, 2026-05
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MicroData Instrument Inc integrated public use microdata series (ipums)
Trends in occupational percentile ranks among select occupations. Data sources: <t>IPUMS</t> US Population Censuses full count 1850, 1880, 1900, 1910, 1920, 1930, 1940; 1% samples 1860, 1870, 1950; 5% samples, 1960, 1980, 1990, 2000; 6% sample, 1970; ACS 2001–2015. Notes: The figure shows changes in percentile ranks for 5 out of the 70 microclass occupations defined in SI Appendix , Table S1 . The percentile ranks are estimated from occupation-specific educational distributions by birth cohort using all men and women aged 25 to 64 in population censuses. The methodology is described in SI Appendix , section S4 . Percentile rank changes for all of the birth cohorts and microclass occupations are shown in SI Appendix , Fig. S1 . The graph suggests that distances between top-ranked occupations, such as between jurists and managers, have increased over time because of the growth of professional, managerial, and upper nonmanual occupations at the top end of the distribution.
Integrated Public Use Microdata Series (Ipums), supplied by MicroData Instrument Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/integrated public use microdata series (ipums)/product/MicroData Instrument Inc
Average 90 stars, based on 1 article reviews
integrated public use microdata series (ipums) - by Bioz Stars, 2026-05
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MicroData Instrument Inc household survey 2010-2011
Trends in occupational percentile ranks among select occupations. Data sources: <t>IPUMS</t> US Population Censuses full count 1850, 1880, 1900, 1910, 1920, 1930, 1940; 1% samples 1860, 1870, 1950; 5% samples, 1960, 1980, 1990, 2000; 6% sample, 1970; ACS 2001–2015. Notes: The figure shows changes in percentile ranks for 5 out of the 70 microclass occupations defined in SI Appendix , Table S1 . The percentile ranks are estimated from occupation-specific educational distributions by birth cohort using all men and women aged 25 to 64 in population censuses. The methodology is described in SI Appendix , section S4 . Percentile rank changes for all of the birth cohorts and microclass occupations are shown in SI Appendix , Fig. S1 . The graph suggests that distances between top-ranked occupations, such as between jurists and managers, have increased over time because of the growth of professional, managerial, and upper nonmanual occupations at the top end of the distribution.
Household Survey 2010 2011, supplied by MicroData Instrument Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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household survey 2010-2011 - by Bioz Stars, 2026-05
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MicroData Instrument Inc nigeria general household survey 2009
Trends in occupational percentile ranks among select occupations. Data sources: <t>IPUMS</t> US Population Censuses full count 1850, 1880, 1900, 1910, 1920, 1930, 1940; 1% samples 1860, 1870, 1950; 5% samples, 1960, 1980, 1990, 2000; 6% sample, 1970; ACS 2001–2015. Notes: The figure shows changes in percentile ranks for 5 out of the 70 microclass occupations defined in SI Appendix , Table S1 . The percentile ranks are estimated from occupation-specific educational distributions by birth cohort using all men and women aged 25 to 64 in population censuses. The methodology is described in SI Appendix , section S4 . Percentile rank changes for all of the birth cohorts and microclass occupations are shown in SI Appendix , Fig. S1 . The graph suggests that distances between top-ranked occupations, such as between jurists and managers, have increased over time because of the growth of professional, managerial, and upper nonmanual occupations at the top end of the distribution.
Nigeria General Household Survey 2009, supplied by MicroData Instrument Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Age-specific infectious disease mortality disparity. Notes: Ratio of nonwhite-to-white mortality from infectious diseases in U.S. cities, 1906–1933. The vertical line shows the change in age classifications from 1921 to 1922, which only applies to ages 30 and up. The line only appears on graphs where the age-grouping changes after 1921. Sources: Mortality data by age and racial classification from published volumes of the Vital Statistics of the United States . Racial-group- and age-specific population counts (for the denominators) from the IPUMS Restricted Complete Count Census data.

Journal: Social science history

Article Title: Racial Inequality in the Prime of Life: Infectious Disease Mortality in U.S. Cities, 1906–1933

doi: 10.1017/ssh.2023.4

Figure Lengend Snippet: Age-specific infectious disease mortality disparity. Notes: Ratio of nonwhite-to-white mortality from infectious diseases in U.S. cities, 1906–1933. The vertical line shows the change in age classifications from 1921 to 1922, which only applies to ages 30 and up. The line only appears on graphs where the age-grouping changes after 1921. Sources: Mortality data by age and racial classification from published volumes of the Vital Statistics of the United States . Racial-group- and age-specific population counts (for the denominators) from the IPUMS Restricted Complete Count Census data.

Article Snippet: We combine counts of deaths by cause with age-and-racial-group-specific denominators from the IPUMS Restricted Complete Count Census Microdata ( ) to construct cause-specific, age-specific mortality rates.

Techniques:

Infant mortality due to waterborne causes of death. Notes: Weighted medians of infectious mortality in U.S. cities over 1906–1933. Mortality rates per 1,000 age-racial-group-specific population. Sources: Mortality data by age and racial classification from published volumes of the Vital Statistics of the United States . Racial-group- and age-specific population counts (for the denominators) from the IPUMS Restricted Complete Count Census data.

Journal: Social science history

Article Title: Racial Inequality in the Prime of Life: Infectious Disease Mortality in U.S. Cities, 1906–1933

doi: 10.1017/ssh.2023.4

Figure Lengend Snippet: Infant mortality due to waterborne causes of death. Notes: Weighted medians of infectious mortality in U.S. cities over 1906–1933. Mortality rates per 1,000 age-racial-group-specific population. Sources: Mortality data by age and racial classification from published volumes of the Vital Statistics of the United States . Racial-group- and age-specific population counts (for the denominators) from the IPUMS Restricted Complete Count Census data.

Article Snippet: We combine counts of deaths by cause with age-and-racial-group-specific denominators from the IPUMS Restricted Complete Count Census Microdata ( ) to construct cause-specific, age-specific mortality rates.

Techniques:

Tuberculosis age-specific racial disparity. Notes: Weighted medians of infectious mortality in U.S. cities over 1906–1933. Mortality rates per 1,000 age-racial-group-specific population. The vertical line shows the change in age classifications from 1921 to 1922, which only applies to ages 30 and up. The line only appears on graphs where the age-grouping changes after 1921. Sources: Mortality data by age and racial classification from published volumes of the Vital Statistics of the United States . Racial-group- and age-specific population counts (for the denominators) from the IPUMS Restricted Complete Count Census data.

Journal: Social science history

Article Title: Racial Inequality in the Prime of Life: Infectious Disease Mortality in U.S. Cities, 1906–1933

doi: 10.1017/ssh.2023.4

Figure Lengend Snippet: Tuberculosis age-specific racial disparity. Notes: Weighted medians of infectious mortality in U.S. cities over 1906–1933. Mortality rates per 1,000 age-racial-group-specific population. The vertical line shows the change in age classifications from 1921 to 1922, which only applies to ages 30 and up. The line only appears on graphs where the age-grouping changes after 1921. Sources: Mortality data by age and racial classification from published volumes of the Vital Statistics of the United States . Racial-group- and age-specific population counts (for the denominators) from the IPUMS Restricted Complete Count Census data.

Article Snippet: We combine counts of deaths by cause with age-and-racial-group-specific denominators from the IPUMS Restricted Complete Count Census Microdata ( ) to construct cause-specific, age-specific mortality rates.

Techniques:

Tuberculosis mortality by racial classification and age. Notes: Weighted medians of infectious mortality in U.S. cities over 1906–1933. Mortality rates per 1,000 age-racial-group-specific population. Sources: Mortality data by age and racial classification from published volumes of the Vital Statistics of the United States . Racial-group- and age-specific population counts (for the denominators) from the IPUMS Restricted Complete Count Census data.

Journal: Social science history

Article Title: Racial Inequality in the Prime of Life: Infectious Disease Mortality in U.S. Cities, 1906–1933

doi: 10.1017/ssh.2023.4

Figure Lengend Snippet: Tuberculosis mortality by racial classification and age. Notes: Weighted medians of infectious mortality in U.S. cities over 1906–1933. Mortality rates per 1,000 age-racial-group-specific population. Sources: Mortality data by age and racial classification from published volumes of the Vital Statistics of the United States . Racial-group- and age-specific population counts (for the denominators) from the IPUMS Restricted Complete Count Census data.

Article Snippet: We combine counts of deaths by cause with age-and-racial-group-specific denominators from the IPUMS Restricted Complete Count Census Microdata ( ) to construct cause-specific, age-specific mortality rates.

Techniques:

Trends in occupational percentile ranks among select occupations. Data sources: IPUMS US Population Censuses full count 1850, 1880, 1900, 1910, 1920, 1930, 1940; 1% samples 1860, 1870, 1950; 5% samples, 1960, 1980, 1990, 2000; 6% sample, 1970; ACS 2001–2015. Notes: The figure shows changes in percentile ranks for 5 out of the 70 microclass occupations defined in SI Appendix , Table S1 . The percentile ranks are estimated from occupation-specific educational distributions by birth cohort using all men and women aged 25 to 64 in population censuses. The methodology is described in SI Appendix , section S4 . Percentile rank changes for all of the birth cohorts and microclass occupations are shown in SI Appendix , Fig. S1 . The graph suggests that distances between top-ranked occupations, such as between jurists and managers, have increased over time because of the growth of professional, managerial, and upper nonmanual occupations at the top end of the distribution.

Journal: Proceedings of the National Academy of Sciences of the United States of America

Article Title: Long-term decline in intergenerational mobility in the United States since the 1850s

doi: 10.1073/pnas.1905094116

Figure Lengend Snippet: Trends in occupational percentile ranks among select occupations. Data sources: IPUMS US Population Censuses full count 1850, 1880, 1900, 1910, 1920, 1930, 1940; 1% samples 1860, 1870, 1950; 5% samples, 1960, 1980, 1990, 2000; 6% sample, 1970; ACS 2001–2015. Notes: The figure shows changes in percentile ranks for 5 out of the 70 microclass occupations defined in SI Appendix , Table S1 . The percentile ranks are estimated from occupation-specific educational distributions by birth cohort using all men and women aged 25 to 64 in population censuses. The methodology is described in SI Appendix , section S4 . Percentile rank changes for all of the birth cohorts and microclass occupations are shown in SI Appendix , Fig. S1 . The graph suggests that distances between top-ranked occupations, such as between jurists and managers, have increased over time because of the growth of professional, managerial, and upper nonmanual occupations at the top end of the distribution.

Article Snippet: Our mobility data include 4 major sources: 1) cross-sectional Integrated Public Use Microdata Series (IPUMS) US population census data from 1850 to 2000 and the ACS from 2001 to 2015 ( ); 2) 3 linked samples of complete-count historical censuses, 1850–1880, 1880–1910, and 1910–1940 ( ); 3) the Current Population Survey Annual Social and Economic Supplement (CPS-ASEC 1973–1990) data linked to both the 1940 census and the 2000 long-form census and the ACS (2001–2015); and 4) for cross-validation purposes, 11 large-scale social surveys that have been used in previous studies on intergenerational social mobility (see a summary in SI Appendix ).

Techniques: