{"id":5960,"date":"2026-06-23T15:40:16","date_gmt":"2026-06-23T15:40:16","guid":{"rendered":"https:\/\/www.tarleton.edu\/tieuc\/?p=5960"},"modified":"2026-06-23T16:03:24","modified_gmt":"2026-06-23T16:03:24","slug":"obesity-in-nct","status":"publish","type":"post","link":"https:\/\/www.tarleton.edu\/tieuc\/2026\/06\/23\/obesity-in-nct\/","title":{"rendered":"Obesity in NCT"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\"><strong>Complete Demographic &amp; Statistical Summary<\/strong> for <strong>Texas 24-County Obesity  <\/strong><br><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>1. Dataset Structure &amp; Coverage<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><th>Dimension<\/th><th>Detail<\/th><\/tr><tr><td><strong>Geography<\/strong><\/td><td>24 Texas counties (DFW metro + surrounding rural counties)<\/td><\/tr><tr><td><strong>Time span<\/strong><\/td><td>2000\u20132019 (20 years, annual)<\/td><\/tr><tr><td><strong>Ethnicity<\/strong><\/td><td>6 categories: Total, Latino (Any ethnicity), Non-Latino White, Non-Latino Black, Non-Latino American Indian\/Alaska Native, Non-Latino Asian\/Pacific Islander<\/td><\/tr><tr><td><strong>Male or Female<\/strong><\/td><td>&#8220;Both&#8221; only (no male\/female split in this extract)<\/td><\/tr><tr><td><strong>Age groups<\/strong><\/td><td>14 five-year bands (20\u201324 through 80\u201384, plus 85+), plus 2 aggregates: &#8220;20 plus&#8221; and &#8220;20 plus, age standardized&#8221;<\/td><\/tr><tr><td><strong>Metric<\/strong><\/td><td>Prevalence rate of obesity (proportion of population, e.g. 0.30 = 30%)<\/td><\/tr><tr><td><strong>Total rows<\/strong><\/td><td>46,080<\/td><\/tr><tr><td><strong>Data completeness<\/strong><\/td><td>67% populated (15,040 cells suppressed \u2014 typical for small-population ethnicity\/age cross-tabs, e.g. Asian\/Pacific Islander in rural counties)<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Counties included:<\/strong>&nbsp;Bosque, Brown, Collin, Comanche, Dallas, Denton, Eastland, Ellis, Erath, Hamilton, Hill, Hood, Hunt, Jack, Johnson, Kaufman, Navarro, Palo Pinto, Parker, Rockwall, Somervell, Stephens, Tarrant, Wise<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>2. Statewide Trend (24-county average, age-standardized, all races)<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><th>Year<\/th><th>Obesity Prevalence<\/th><\/tr><tr><td>2000<\/td><td>29.96%<\/td><\/tr><tr><td>2005<\/td><td>35.50%<\/td><\/tr><tr><td>2010<\/td><td>39.65%<\/td><\/tr><tr><td>2015<\/td><td>42.50%<\/td><\/tr><tr><td>2019<\/td><td>45.39%<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Absolute increase:<\/strong>\u00a0+15.43 percentage points (2000\u21922019)<\/li>\n\n\n\n<li><strong>Relative growth:<\/strong>\u00a0+51.5%<\/li>\n\n\n\n<li><strong>CAGR:<\/strong>\u00a02.21%\/year over the full period<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>3. Breakdown by Ethnicity (2000 vs 2019, age-standardized)<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><th>ETHNICITY<\/th><th>2000<\/th><th>2019<\/th><th>\u0394 pts<\/th><th>% growth<\/th><\/tr><tr><td>Non-Latino, White<\/td><td>28.54%<\/td><td>43.97%<\/td><td>+15.43<\/td><td>+54.1%<\/td><\/tr><tr><td>Total<\/td><td>29.96%<\/td><td>45.39%<\/td><td>+15.44<\/td><td>+51.5%<\/td><\/tr><tr><td>Latino, Any ethnicity<\/td><td>36.93%<\/td><td>50.86%<\/td><td>+13.93<\/td><td>+37.7%<\/td><\/tr><tr><td>Non-Latino, American Indian\/AK Native<\/td><td>31.35%<\/td><td>44.01%<\/td><td>+12.65<\/td><td>+40.4%<\/td><\/tr><tr><td>Non-Latino, Black<\/td><td>39.73%<\/td><td>50.92%<\/td><td>+11.19<\/td><td>+28.2%<\/td><\/tr><tr><td>Non-Latino, Asian\/Pacific Islander<\/td><td>12.59%<\/td><td>22.54%<\/td><td>+9.95<\/td><td><strong>+79.1%<\/strong><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Key insight:<\/strong>&nbsp;Black and Latino populations have the&nbsp;<em>highest absolute<\/em>&nbsp;obesity rates throughout the period, but Asian\/Pacific Islander populations show the&nbsp;<em>fastest relative growth rate<\/em>&nbsp;\u2014 nearly doubling, albeit from a low base.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>4. Breakdown by Age Group (Total ethnicity, statewide avg)<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><th>Age Band<\/th><th>2000<\/th><th>2019<\/th><th>\u0394 pts<\/th><\/tr><tr><td>20\u201324<\/td><td>21.60%<\/td><td>32.21%<\/td><td>+10.61<\/td><\/tr><tr><td>35\u201339<\/td><td>32.22%<\/td><td>48.75%<\/td><td>+16.52<\/td><\/tr><tr><td><strong>45\u201349 (peak)<\/strong><\/td><td>33.48%<\/td><td><strong>50.93%<\/strong><\/td><td>+17.45<\/td><\/tr><tr><td>65\u201369<\/td><td>32.67%<\/td><td>47.37%<\/td><td>+14.70<\/td><\/tr><tr><td>85+<\/td><td>13.21%<\/td><td>25.42%<\/td><td>+12.21<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Obesity prevalence peaks in&nbsp;<strong>middle age (45\u201354)<\/strong>&nbsp;across both years and declines after 65, consistent with national CDC patterns.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>5. County-Level Highlights (2019, age-standardized)<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Highest obesity prevalence:<\/strong><\/p>\n\n\n\n<ol start=\"1\" class=\"wp-block-list\">\n<li>Navarro County \u2014 49.66%<\/li>\n\n\n\n<li>Hill County \u2014 49.29%<\/li>\n\n\n\n<li>Ellis County \u2014 47.63%<\/li>\n<\/ol>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Lowest obesity prevalence:<\/strong><\/p>\n\n\n\n<ol start=\"1\" class=\"wp-block-list\">\n<li>Collin County \u2014 35.02%<\/li>\n\n\n\n<li>Denton County \u2014 39.60%<\/li>\n\n\n\n<li>Rockwall County \u2014 39.68%<\/li>\n<\/ol>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Fastest-growing counties (2000\u21922019):<\/strong><\/p>\n\n\n\n<ol start=\"1\" class=\"wp-block-list\">\n<li>Johnson County \u2014 +16.50 pts<\/li>\n\n\n\n<li>Stephens County \u2014 +16.41 pts<\/li>\n\n\n\n<li>Wise County \u2014 +16.25 pts<\/li>\n<\/ol>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"wp-block-paragraph\">Pattern: affluent, more urbanized counties near Dallas (Collin, Denton, Rockwall) consistently post the lowest rates; rural\/exurban counties (Navarro, Hill, Stephens) post the highest.<\/p>\n<\/blockquote>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>6. Growth Projections (Linear Trend Extrapolation)<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><th>Year<\/th><th>Full-period trend (2000\u201319)<\/th><th>Recent-momentum trend (2015\u201319)<\/th><\/tr><tr><td>2020<\/td><td>46.7%<\/td><td>46.1%<\/td><\/tr><tr><td>2022<\/td><td>48.2%<\/td><td>47.5%<\/td><\/tr><tr><td>2025<\/td><td>50.5%<\/td><td>49.7%<\/td><\/tr><tr><td>2030<\/td><td>54.4%<\/td><td>53.3%<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">\u00a0Linear extrapolation only \u2014 does not account for COVID-era disruptions, policy interventions, or demographic shifts. Treat as a directional estimate, not a forecast.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>7. Practical Uses of This Data<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Public health resource allocation<\/strong>\u00a0\u2014 target counties (Navarro, Hill, Ellis) for intervention funding<\/li>\n\n\n\n<li><strong>Grant writing \/ research justification<\/strong>\u00a0\u2014 supports Tarleton State research with quantified disparity trends by ethnicity and county<\/li>\n\n\n\n<li><strong>Healthcare facility planning<\/strong>\u00a0\u2014 bariatric\/metabolic service demand forecasting by region<\/li>\n\n\n\n<li><strong>Policy support<\/strong>\u00a0\u2014 demonstrates disparate impact across ethnicity groups for equality-focused programs<\/li>\n\n\n\n<li><strong>Academic publication<\/strong>\u00a0\u2014 20-year longitudinal dataset suitable for trend\/disparity analysis in peer-reviewed work<\/li>\n\n\n\n<li><strong>Insurance\/employer wellness programs<\/strong>\u00a0\u2014 regional risk stratification<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>8. Note on Dashboard Metric<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Your two dashboards plot\u00a0<code><strong>SUM(Obesity)<\/strong><\/code>\u00a0(summed across multiple age-group rows per county\/ethnicity\/year) \u2014 values in the 5\u20137.5 range. This is a different scale than the\u00a0<strong>age-standardized prevalence rate<\/strong>\u00a0(%) used in this summary. Both are valid for\u00a0<em>comparison<\/em>\u00a0purposes (year-over-year, county-over-county), but the dashboard values aren&#8217;t directly interpretable as &#8220;% of population obese&#8221; the way the age-standardized figures above are.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Complete Demographic &amp; Statistical Summary for Texas 24-County Obesity 1. Dataset Structure &amp; Coverage Dimension Detail Geography 24 Texas counties (DFW metro + surrounding rural counties) Time span 2000\u20132019 (20 &#8230;<\/p>\n","protected":false},"author":689,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"advgb_blocks_editor_width":"","advgb_blocks_columns_visual_guide":"","_wds_title":"Obesity in NCT","_wds_metadesc":"","_wds_focus-keywords":"","_wds_meta-robots-adv":"","_wds_meta-robots-noindex":false,"_wds_meta-robots-nofollow":false,"_wds_meta-robots-index":false,"_wds_meta-robots-follow":false,"_wds_autolinks-exclude":false,"_wds_canonical":"","_wds_redirect":"","_wds_opengraph":[],"_wds_twitter":[],"wds_primary_category":0,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-5960","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"acf":[],"author_meta":{"display_name":"Webmaster","author_link":"https:\/\/www.tarleton.edu\/tieuc\/author\/bkurdle\/"},"featured_img":null,"coauthors":[],"tax_additional":{"categories":{"linked":["<a href=\"https:\/\/www.tarleton.edu\/tieuc\/category\/uncategorized\/\" class=\"advgb-post-tax-term\">Uncategorized<\/a>"],"unlinked":["<span class=\"advgb-post-tax-term\">Uncategorized<\/span>"]}},"comment_count":0,"relative_dates":{"created":"Posted 11 hours ago","modified":"Updated 11 hours ago"},"absolute_dates":{"created":"Posted on June 23, 2026","modified":"Updated on June 23, 2026"},"absolute_dates_time":{"created":"Posted on June 23, 2026 3:40 pm","modified":"Updated on June 23, 2026 4:03 pm"},"featured_img_caption":"","series_order":"","_links":{"self":[{"href":"https:\/\/www.tarleton.edu\/tieuc\/wp-json\/wp\/v2\/posts\/5960","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.tarleton.edu\/tieuc\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.tarleton.edu\/tieuc\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.tarleton.edu\/tieuc\/wp-json\/wp\/v2\/users\/689"}],"replies":[{"embeddable":true,"href":"https:\/\/www.tarleton.edu\/tieuc\/wp-json\/wp\/v2\/comments?post=5960"}],"version-history":[{"count":3,"href":"https:\/\/www.tarleton.edu\/tieuc\/wp-json\/wp\/v2\/posts\/5960\/revisions"}],"predecessor-version":[{"id":5964,"href":"https:\/\/www.tarleton.edu\/tieuc\/wp-json\/wp\/v2\/posts\/5960\/revisions\/5964"}],"wp:attachment":[{"href":"https:\/\/www.tarleton.edu\/tieuc\/wp-json\/wp\/v2\/media?parent=5960"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.tarleton.edu\/tieuc\/wp-json\/wp\/v2\/categories?post=5960"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.tarleton.edu\/tieuc\/wp-json\/wp\/v2\/tags?post=5960"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}