{"id":41530,"date":"2011-06-27T00:01:43","date_gmt":"2011-06-27T05:01:43","guid":{"rendered":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/2011\/06\/27\/appendix-2-data-sources\/"},"modified":"2024-04-14T04:09:41","modified_gmt":"2024-04-14T09:09:41","slug":"appendix-2-data-sources","status":"publish","type":"post","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/social-trends\/2011\/06\/27\/appendix-2-data-sources\/","title":{"rendered":"Appendix 2: Data Sources"},"content":{"rendered":"<p class=\"wp-block-paragraph\">The detailed snapshot of adults ages 30-44 by their partnership status utilizes the U.S. Census Bureau\u2019s 2009 American Community Survey (ACS).\u00a0 The ACS is a 1% sample of all U.S. households and features a very large sample of the population.\u00a0 The University of Minnesota Population Center\u2019s Integrated Public Use Microsample (IPUMS) version of the 2009 ACS was analyzed (documentation available at <a href=\"https:\/\/usa.ipums.org\/usa\/index.shtml\" target=\"_blank\" rel=\"noopener noreferrer\">http:\/\/usa.ipums.org\/usa\/index.shtml <\/a>).\u00a0 The ACS does not have a direct question as to whether a respondent has an unmarried partner.\u00a0 Cohabiting adults must instead be identified on the basis of a respondent\u2019s relationship to the household head.\u00a0 A respondent may identify as the \u201cunmarried partner of the head.\u201d\u00a0 In the ACS one can thus identify \u201cunmarried partners of the head\u201d and their corresponding cohabiting household heads.\u00a0 Some cohabiting adults are thus not identifiable in the ACS.\u00a0 One of the cohabiters must be the head of the household in order to be properly assigned \u201ccohabitation status.\u201d\u00a0 As discussed below, other Census Bureau data reveal that about 80% of cohabiting adults are either the unmarried partner of the head or a cohabiting head of the household.<\/p>\n\n<p class=\"wp-block-paragraph\">A primary purpose of this analysis is to compare the economic well-being of cohabiting adults ages 30-44 with their married counterparts. In this data source, marriage applies only to spouses of the opposite sex and to have a straightforward comparison of married to cohabiting persons, \u201ccohabitation\u201d is defined herein as opposite-sex cohabitation.\u00a0 Although fewer than one-in-ten adults is in an opposite-sex cohabiting relationship at a moment in time, the large size of the ACS results in the analysis being based on 35,929 opposite-sex cohabiting 30- to-44-year-olds.<\/p>\n\n<p class=\"wp-block-paragraph\">In the ACS, income and poverty measures are available only for persons residing in households, so this analysis excludes all others, including those residing in group quarters. It should be noted that the poverty measure utilizes the University of Minnesota Population Center\u2019s Integrated Public Use Micro Sample (IPUMS) version of the 2009 American Community Survey.\u00a0 Although the IPUMS poverty variable defines poverty on the basis of detailed family income and family structure information for each adult, it is not identical to the poverty variable on the original Census PUMS file.\u00a0 See\u00a0<a href=\"https:\/\/usa.ipums.org\/usa-action\/variables\/POVERTY\" target=\"_blank\" rel=\"noopener noreferrer\">http:\/\/usa.ipums.org\/usa-action\/variables\/POVERTY<\/a> for details.<\/p>\n\n<p class=\"wp-block-paragraph\">The analysis is restricted to adults at least 30 years old because many younger adults are still in the process of completing their education.\u00a0 By age 30, most persons have finished their formal education.\u00a0 We imposed an upper age limit of 44 because partnership status may have different implications among older adults than adults in their family-forming years.\u00a0 After a certain age, most children no longer reside with their parent(s).\u00a0 Although 44 is admittedly arbitrary, the ages of 30-44 correspond to the key family-forming and child-rearing years of adulthood.<\/p>\n\n<figure class=\"wp-block-image alignright\"><a href=\"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/3\/2011\/06\/2011-cohabitation-a2-02.png\"><img data-dominant-color=\"eeeeef\" data-has-transparency=\"false\" style=\"--dominant-color: #eeeeef;\" loading=\"lazy\" decoding=\"async\" width=\"417\" height=\"547\"  srcset=\"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/20\/2011\/06\/2011-cohabitation-a2-02.png?resize=417,547 417w\" sizes=\"(max-width: 480px) 480px, (max-width: 782px) 782px, 640px\" class=\"wp-image-55342 not-transparent\" alt=\"\" src=\"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/20\/2011\/06\/2011-cohabitation-a2-02.png\" ><\/a><\/figure>\n\n<p class=\"wp-block-paragraph\">Although the analysis is restricted to 30-to-44 year-olds, this does not imply that a 30- to 44-year-old\u2019s spouse or cohabiting partner also must be in that age group.\u00a0 Many people partner with \u00a0persons older or younger than themselves.\u00a0 That the partner need not be 30-44\u00a0 explains why the partner\u2019s characteristics do not always match precisely the characteristics of partnered 30- to 44-year-olds.\u00a0 As an example, 80% of married 30- to 44-year-old adults were employed in 2009.\u00a0 If the 30- to 44-year-olds were all married to each other, then 80% of the spouses of 30- to 44-year-olds would have been employed. The actual share is slightly different: 79% of the spouses of married 30-to 44-year-olds had jobs because some of the married 30- to 44-year-olds have spouses outside the 30-44 age range.<\/p>\n\n<p class=\"wp-block-paragraph\">The trend analysis utilizes the Census Bureau\u2019s March Current Population Survey (CPS).\u00a0 For the study of current partnerships, the CPS has two disadvantages relative to the ACS. [5. numoffset=&#8221;5&#8243; The ACS and CPS do generate similar estimates of the number of unmarried opposite-sex couples which include the householder. The 2009 ACS indicates there are 5.9 million such households. The March 2010 CPS indicates there are 6.1 million such households. The estimates are not different statistically (Kreider, 2010).]<\/p>\n\n<p class=\"wp-block-paragraph\">First, the CPS is a much smaller sample.\u00a0 For example, the March 2009 CPS has about 208,000 person records, about 1\/15th the size of the 2009 ACS.<\/p>\n\n<p class=\"wp-block-paragraph\">Second, the Census Bureau does not edit the CPS in the same fashion as the ACS.\u00a0 Until 2007, the CPS did not have a direct question on whether a person had a partner in the household.\u00a0 Beginning in 1995, an individual could identify oneself as the unmarried partner of the household head.\u00a0 However, in some households in the CPS several persons identify themselves as the unmarried partner of the head.\u00a0 Furthermore, in some households in which a person claims to be the unmarried partner of the head, the head of the household reports being married and living with a spouse.\u00a0 In this analysis we ignored these anomalies by identifying as cohabiting individuals only those persons who were the unmarried partners of the head of the household (and the head reported being unmarried); who lived in households with only one person claiming to be the unmarried partner of the head.<\/p>\n\n<p class=\"wp-block-paragraph\">The table on page 26 reports the official U.S. Census Bureau tally of the number of cohabiting persons of all ages from the March Current Population Survey.\u00a0 It also reports the weighted number of cohabiting persons using the above procedures to identify cohabiters.\u00a0 In every year until 2007 we identify nearly 100% of cohabiting persons.<\/p>\n\n<p class=\"wp-block-paragraph\">There is a break in the Census Bureau series at 2007.\u00a0 Beginning in 2007, cohabiters are identified using a direct question on cohabitation so all cohabiting relationships are identified, not just those involving the head of the household.\u00a0 Comparing our estimates in column 4 with the census count in column 3 reveals that cohabiting relationships involving the head of the household account for about 80% of all cohabiters.\u00a0 The analysis in the text uses the consistent time series reported in column 4 so that we have a consistent set of cohabiting persons across the years.<\/p>\n\n<p class=\"wp-block-paragraph\">Tabulations from the March 2010 CPS indicate that the qualitative conclusions on economic well-being and cohabitation are robust to the manner in which cohabiters are identified.\u00a0 The first row of the table below identifies cohabiting persons on the basis of the more narrow unmarried partner of the household head.\u00a0 Cohabiters not involving the household head are enumerated with persons not residing with a spouse or partner.\u00a0 This mimics the identification procedure utilized for the American Community Survey, and college-educated cohabiters have a higher median adjusted household income than their married counterparts.\u00a0 The second row uses the more inclusive direct CPS question on cohabitation, and cohabiters in relationships not involving the household head are tallied as cohabiters rather than persons not residing with a spouse or partner.\u00a0 Cohabiters in relationships not involving the household head in 2010 tended to have lower adjusted household income than cohabiters involving the household head, but they also had higher household income than adults without a spouse or partner.\u00a0 Hence including cohabiters not involving the household head lowers the measured income status of cohabiters but also lowers the income status of single adults as well.<\/p>\n\n<p class=\"wp-block-paragraph\" style=\"text-align: left;\">\n<figure><a href=\"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/3\/2011\/06\/2011-cohabitation-a2-01.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-8414\" alt=\"\" src=\"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/3\/2011\/06\/2011-cohabitation-a2-01.png\" width=\"558\" height=\"246\"><\/a><\/figure>\n<\/p>\n\n<p class=\"wp-block-paragraph\">Household income data reported in this study are adjusted for the number of persons in a household. That is done in recognition of the reality that a four-person household with an income of, say, $50,000 faces a tighter budget constraint than a two-person household with the same income.<\/p>\n\n<p class=\"wp-block-paragraph\" style=\"text-align: left;\">At its simplest, adjusting for household size could mean converting household income into per capita income. Thus, a two-person household with an income of $50,000 would be acknowledged to have more resources than a four-person household with the same total income. The per capita income of the smaller household would be $25,000, double the per capita income of the larger household.<\/p>\n\n<p class=\"wp-block-paragraph\">A more sophisticated framework for household size adjustment recognizes that there are economies of scale in consumer expenditures. For example, a two-bedroom apartment may not cost twice as much to rent as a one-bedroom apartment. Two household members could carpool to work for the same cost as a single household member, and so on. For that reason, most researchers make adjustments for household size using the method of \u201cequivalence scales\u201d (Garner, Ruiz-Castillo and Sastre, 2003, and Short, Garner, Johnson and Doyle, 1999).<\/p>\n\n<p class=\"wp-block-paragraph\">A common equivalence-scale adjustment is defined as follows:<\/p>\n\n<p class=\"wp-block-paragraph\">Adjusted household income = Household income \/ (Household size)<sup>0.5<\/sup><\/p>\n\n<p class=\"wp-block-paragraph\">By this method, we are effectively assuming that a two-person household needs 1.41 times the income of a one-person household to be as equally well-off.\u00a0 Similarly, a four-person household requires twice the income of a one-person household to have equal resources.<\/p>\n\n<p class=\"wp-block-paragraph\">Once household incomes have been converted to a \u201cuniform\u201d household size, they can be scaled to reflect any household size. The income data reported in this study are computed for three-person households.<\/p>","protected":false},"excerpt":{"rendered":"<p>The detailed snapshot of adults ages 30-44 by their partnership status utilizes the U.S. Census Bureau\u2019s 2009 American Community Survey (ACS).\u00a0 The ACS is a 1% sample of all U.S. households and features a very large sample of the population.\u00a0 The University of Minnesota Population Center\u2019s Integrated Public Use Microsample (IPUMS) version of the 2009 [&hellip;]<\/p>\n","protected":false},"author":131,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"sub_headline":"","sub_title":"","_prc_public_revisions":[],"_ppp_expiration_hours":0,"_ppp_enabled":false,"ai_generated_summary":"","_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"apple_news_api_id":"","apple_news_api_revision":"","apple_news_api_created_at":"","apple_news_api_modified_at":"","apple_news_api_share_url":"","apple_news_api_pending":"","apple_news_is_preview":false,"apple_news_is_hidden":false,"relatedPosts":[],"reportMaterials":[],"multiSectionReport":[],"package_parts__enabled":false,"package_parts":[],"datacite_doi":"","datacite_doi_citation":"","_prc_seo_qr_attachment_id":0,"spoken_article_player_enabled":true,"displayBylines":true,"footnotes":"","prc_watchers":[],"_prc_fork_parent":0,"_prc_fork_status":"","_prc_active_fork":0,"jetpack_post_was_ever_published":false},"categories":[],"tags":[],"bylines":[950,984],"collection":[],"datasets":[],"level_of_effort":[],"primary_audience":[],"information_type":[],"_post_visibility":[],"formats":[458],"_fund_pool":[],"languages":[],"regions-countries":[],"research-teams":[519],"workflow-status":[],"class_list":["post-41530","post","type-post","status-publish","format-standard","hentry","bylines-dvera-cohn","bylines-richard-fry","formats-report","research-teams-social-trends"],"label":false,"post_parent":41437,"word_count":1436,"canonical_url":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/social-trends\/2011\/06\/27\/appendix-2-data-sources\/","art_direction":{"A1":{"id":55350,"rawUrl":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/20\/2011\/06\/ST_Cohabiting_Compact.png","url":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/20\/2011\/06\/ST_Cohabiting_Compact.png?w=460&h=310&crop=1","width":460,"height":310,"chartArt":false},"A2":{"id":55350,"rawUrl":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/20\/2011\/06\/ST_Cohabiting_Compact.png","url":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/20\/2011\/06\/ST_Cohabiting_Compact.png?w=268&h=151&crop=1","width":268,"height":151,"chartArt":false},"A3":{"id":55350,"rawUrl":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/20\/2011\/06\/ST_Cohabiting_Compact.png","url":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/20\/2011\/06\/ST_Cohabiting_Compact.png?w=194&h=110&crop=1","width":194,"height":110,"chartArt":false},"A4":{"id":55350,"rawUrl":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/20\/2011\/06\/ST_Cohabiting_Compact.png","url":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/20\/2011\/06\/ST_Cohabiting_Compact.png?w=268&h=151&crop=1","width":268,"height":151,"chartArt":false},"XL":{"id":55350,"rawUrl":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/20\/2011\/06\/ST_Cohabiting_Compact.png","url":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/20\/2011\/06\/ST_Cohabiting_Compact.png?w=460&h=310&crop=1","width":460,"height":310,"chartArt":false},"social":{"id":55350,"rawUrl":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/20\/2011\/06\/ST_Cohabiting_Compact.png","url":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/20\/2011\/06\/ST_Cohabiting_Compact.png?w=460&h=310&crop=1","width":460,"height":310,"chartArt":false}},"_embeds":[],"watchers":[],"table_of_contents":[{"id":41437,"title":"Living Together: The Economics of Cohabitation","slug":"living-together-the-economics-of-cohabitation","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/social-trends\/2011\/06\/27\/living-together-the-economics-of-cohabitation\/","is_active":false},{"id":41454,"title":"I. Prevalence and Growth of Cohabitation","slug":"i-prevalence-and-growth-of-cohabitation","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/social-trends\/2011\/06\/27\/i-prevalence-and-growth-of-cohabitation\/","is_active":false},{"id":41469,"title":"II. The Economics of Cohabitation","slug":"ii-the-economics-of-cohabitation","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/social-trends\/2011\/06\/27\/ii-the-economics-of-cohabitation\/","is_active":false},{"id":41485,"title":"III. Labor Market Characteristics","slug":"iii-labor-market-characteristics","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/social-trends\/2011\/06\/27\/iii-labor-market-characteristics\/","is_active":false},{"id":41501,"title":"IV. The Households and demographics of 30- to 44-Year-olds","slug":"iv-the-households-and-demographics-of-30-to-44-year-olds","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/social-trends\/2011\/06\/27\/iv-the-households-and-demographics-of-30-to-44-year-olds\/","is_active":false},{"id":41516,"title":"Appendix 1: Tables","slug":"appendix-1-tables","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/social-trends\/2011\/06\/27\/appendix-1-tables\/","is_active":false},{"id":41530,"title":"Appendix 2: Data Sources","slug":"appendix-2-data-sources","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/social-trends\/2011\/06\/27\/appendix-2-data-sources\/","is_active":true}],"report_materials":[{"key":"37d7de05-9bba-4077-8819-cbdf042bf552","type":"report","url":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/3\/2011\/06\/pew-social-trends-cohabitation-06-2011.pdf","label":"","icon":"","attachmentId":""}],"report_pagination":{"current_post":{"id":41530,"title":"Appendix 2: Data Sources","slug":"appendix-2-data-sources","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/social-trends\/2011\/06\/27\/appendix-2-data-sources\/","is_active":true,"page_num":7},"next_post":null,"previous_post":{"id":41516,"title":"Appendix 1: Tables","slug":"appendix-1-tables","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/social-trends\/2011\/06\/27\/appendix-1-tables\/","is_active":false,"page_num":6},"pagination_items":[{"id":41437,"title":"Living Together: The Economics of Cohabitation","slug":"living-together-the-economics-of-cohabitation","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/social-trends\/2011\/06\/27\/living-together-the-economics-of-cohabitation\/","is_active":false,"page_num":1},{"id":41454,"title":"I. Prevalence and Growth of Cohabitation","slug":"i-prevalence-and-growth-of-cohabitation","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/social-trends\/2011\/06\/27\/i-prevalence-and-growth-of-cohabitation\/","is_active":false,"page_num":2},{"id":41469,"title":"II. The Economics of Cohabitation","slug":"ii-the-economics-of-cohabitation","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/social-trends\/2011\/06\/27\/ii-the-economics-of-cohabitation\/","is_active":false,"page_num":3},{"id":41485,"title":"III. Labor Market Characteristics","slug":"iii-labor-market-characteristics","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/social-trends\/2011\/06\/27\/iii-labor-market-characteristics\/","is_active":false,"page_num":4},{"id":41501,"title":"IV. The Households and demographics of 30- to 44-Year-olds","slug":"iv-the-households-and-demographics-of-30-to-44-year-olds","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/social-trends\/2011\/06\/27\/iv-the-households-and-demographics-of-30-to-44-year-olds\/","is_active":false,"page_num":5},{"id":41516,"title":"Appendix 1: Tables","slug":"appendix-1-tables","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/social-trends\/2011\/06\/27\/appendix-1-tables\/","is_active":false,"page_num":6},{"id":41530,"title":"Appendix 2: Data Sources","slug":"appendix-2-data-sources","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/social-trends\/2011\/06\/27\/appendix-2-data-sources\/","is_active":true,"page_num":7}]},"parent_info":{"parent_title":"Living Together: The Economics of Cohabitation","parent_id":41437},"materialsOrdered":[],"chaptersOrdered":[],"partsOrdered":[],"partsEnabled":false,"datacite_doi":"","prc_seo_data":{"title":"Appendix 2: Data 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