Tibetan Areas Beyond the TAR \u2014 Canada Tibet Committee<\/title>\n<link rel=\"preconnect\" href=\"https:\/\/fonts.googleapis.com\">\n<link href=\"https:\/\/fonts.googleapis.com\/css2?family=Playfair+Display:ital,wght@0,700;0,900;1,700&family=DM+Sans:wght@300;400;500;600&family=DM+Mono:wght@400;500&display=swap\" rel=\"stylesheet\">\n<script src=\"https:\/\/cdnjs.cloudflare.com\/ajax\/libs\/Chart.js\/4.4.1\/chart.umd.min.js\"><\/script>\n<style>\n:root {\n --ink: #0f1923;\n --ink-soft: #3a4a58;\n --ink-muted: #8292a0;\n --paper: #f5f3ef;\n --paper-2: #eae7e0;\n --red: #b83232;\n --red-light: #f0d8d8;\n --amber: #c07820;\n --amber-light:#f5e8cc;\n --teal: #1a6b6b;\n --teal-light:#c4dede;\n --purple: #5c3b7a;\n --rule: #d4cfc7;\n --white: #ffffff;\n \/* Province colours *\/\n --qh: #c0392b; \/* Qinghai red *\/\n --sc: #2980b9; \/* Sichuan blue *\/\n --yn: #27ae60; \/* Yunnan green *\/\n --gs: #8e44ad; \/* Gansu purple 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1fr;}.grid-chart-wide{grid-template-columns:1fr;}}\n@media(max-width:900px){.grid-2,.grid-3,.grid-chart-wide{grid-template-columns:1fr;}.hero,.container,.masthead{padding-left:24px;padding-right:24px;}.bar-row{grid-template-columns:110px 1fr 55px;}}\n@media(max-width:600px){.kpi-strip{grid-template-columns:1fr 1fr;}.prov-bar{flex-wrap:wrap;}.prov-item{flex-basis:50%;}.concern-grid{grid-template-columns:1fr;}}\n\n@keyframes fadeUp{from{opacity:0;transform:translateY(16px);}to{opacity:1;transform:translateY(0);}}\n.fade-up{animation:fadeUp .55s ease forwards;}\n.fade-up:nth-child(2){animation-delay:.07s;}.fade-up:nth-child(3){animation-delay:.14s;}.fade-up:nth-child(4){animation-delay:.21s;}.fade-up:nth-child(5){animation-delay:.28s;}.fade-up:nth-child(6){animation-delay:.35s;}.fade-up:nth-child(7){animation-delay:.42s;}.fade-up:nth-child(8){animation-delay:.49s;}\n<\/style>\n<\/head>\n<body>\n\n\n<header class=\"masthead\">\n <div class=\"masthead-brand\"><a href=\"https:\/\/canadatibet.com\">Canada Tibet Committee<\/a><\/div>\n <div class=\"masthead-tag\">Tibetan Areas Beyond the TAR \u00b7 Data Monitor 2023\u20132024<\/div>\n<\/header>\n\n\n<section class=\"hero\">\n <div class=\"hero-eyebrow\">Companion Report<\/div>\n <h1>Tibetan Autonomous Prefectures<em>Outside the TAR<\/em><\/h1>\n <p class=\"hero-sub\">\n China’s Tibetan-inhabited regions extend far beyond the Tibet Autonomous Region into Qinghai, Sichuan, Yunnan,\n and Gansu provinces. This dashboard presents development data for seven major Tibetan autonomous prefectures\n across those four provinces \u2014 drawing exclusively from Chinese official statistical communiqu\u00e9s, provincial\n yearbooks, and national census bulletins. The picture they reveal closely mirrors, and in some cases deepens,\n the patterns of structural underdevelopment documented for the TAR itself.\n <\/p>\n <div class=\"hero-meta\">\n <div class=\"hero-meta-item\"><span class=\"hero-meta-label\">Prefectures Covered<\/span><span class=\"hero-meta-value\">7 Autonomous Prefectures<\/span><\/div>\n <div class=\"hero-meta-item\"><span class=\"hero-meta-label\">Provinces<\/span><span class=\"hero-meta-value\">Qinghai \u00b7 Sichuan \u00b7 Yunnan \u00b7 Gansu<\/span><\/div>\n <div class=\"hero-meta-item\"><span class=\"hero-meta-label\">Total Population<\/span><span class=\"hero-meta-value\">~3.8 million<\/span><\/div>\n <div class=\"hero-meta-item\"><span class=\"hero-meta-label\">Data Period<\/span><span class=\"hero-meta-value\">2022\u20132024<\/span><\/div>\n <\/div>\n<\/section>\n\n\n<div class=\"prov-bar\">\n <div class=\"prov-item\">\n <span class=\"prov-dot\" style=\"background:var(--qh)\"><\/span>\n <span class=\"prov-name\">QINGHAI<\/span>\n <div class=\"prov-sub\">Yushu \u00b7 Golog \u00b7 Huangnan<\/div>\n <\/div>\n <div class=\"prov-item\">\n <span class=\"prov-dot\" style=\"background:var(--sc)\"><\/span>\n <span class=\"prov-name\">SICHUAN<\/span>\n <div class=\"prov-sub\">Garz\u00ea \u00b7 Aba (Ngawa)<\/div>\n <\/div>\n <div class=\"prov-item\">\n <span class=\"prov-dot\" style=\"background:var(--yn)\"><\/span>\n <span class=\"prov-name\">YUNNAN<\/span>\n <div class=\"prov-sub\">Diqing (Shangri-La)<\/div>\n <\/div>\n <div class=\"prov-item\">\n <span class=\"prov-dot\" style=\"background:var(--gs)\"><\/span>\n <span class=\"prov-name\">GANSU<\/span>\n <div class=\"prov-sub\">Gannan (Kanlho)<\/div>\n <\/div>\n<\/div>\n\n\n<div class=\"kpi-strip\">\n <div class=\"kpi fade-up\">\n <div class=\"kpi-badge\">Lowest in China<\/div>\n <div class=\"kpi-label\">Yushu Per Capita GDP (2023)<\/div>\n <div class=\"kpi-value danger\">\u00a518,231<\/div>\n <div class=\"kpi-sub\">20% of national avg \u00a589,358 \u00b7 Last prefecture in China<\/div>\n <\/div>\n <div class=\"kpi fade-up\">\n <div class=\"kpi-badge amber\">Very Low<\/div>\n <div class=\"kpi-label\">Golog Per Capita GDP (2023)<\/div>\n <div class=\"kpi-value danger\">\u00a530,406<\/div>\n <div class=\"kpi-sub\">34% of national avg \u00b7 2nd lowest in Qinghai<\/div>\n <\/div>\n <div class=\"kpi fade-up\">\n <div class=\"kpi-badge\">Below Provincial<\/div>\n <div class=\"kpi-label\">Gannan Rural Income (2024)<\/div>\n <div class=\"kpi-value warn\">\u00a512,706<\/div>\n <div class=\"kpi-sub\">vs. Gansu provincial rural avg ~\u00a512,000 \u00b7 59% of national rural<\/div>\n <\/div>\n <div class=\"kpi fade-up\">\n <div class=\"kpi-badge amber\">Rural Welfare<\/div>\n <div class=\"kpi-label\">Aba Rural Min. Guarantee (2023)<\/div>\n <div class=\"kpi-value warn\">66,199<\/div>\n <div class=\"kpi-sub\">persons on rural minimum living guarantee<\/div>\n <\/div>\n <div class=\"kpi fade-up\">\n <div class=\"kpi-badge\">Structural Lag<\/div>\n <div class=\"kpi-label\">Yushu Primary Sector GDP Share<\/div>\n <div class=\"kpi-value danger\">59.2%<\/div>\n <div class=\"kpi-sub\">vs. national 7.4% \u00b7 Herding economy, minimal industry<\/div>\n <\/div>\n <div class=\"kpi fade-up\">\n <div class=\"kpi-badge amber\">Low Urbanisation<\/div>\n <div class=\"kpi-label\">Garz\u00ea Urban Population Share (2023)<\/div>\n <div class=\"kpi-value warn\">32.9%<\/div>\n <div class=\"kpi-sub\">vs. national 66.2% \u00b7 Only 33% in urban areas<\/div>\n <\/div>\n<\/div>\n\n\n<div class=\"container\">\n<section class=\"section\">\n <div class=\"section-header\">\n <span class=\"section-num\">01<\/span>\n <h2 class=\"section-title\">Prefecture Profiles \u2014 Key Indicators at a Glance<\/h2>\n <\/div>\n\n <div class=\"grid-4\">\n \n <div class=\"prov-card fade-up\">\n <div class=\"prov-card-accent\" style=\"background:var(--qh)\"><\/div>\n <div class=\"prov-card-top\">\n <div class=\"prov-card-name\">Yushu \u7389\u6811<\/div>\n <div class=\"prov-card-sub\"><span class=\"td-flag flag-qh\">Qinghai<\/span> ~97% Tibetan \u00b7 434,000 pop.<\/div>\n <\/div>\n <div class=\"prov-card-body\">\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Per capita GDP (2023)<\/span><span class=\"prov-stat-value low\">\u00a518,231<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Rural income (est. 2023)<\/span><span class=\"prov-stat-value low\">~\u00a59,500<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Urbanisation (2023)<\/span><span class=\"prov-stat-value mid\">52.8%<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Primary sector % GDP<\/span><span class=\"prov-stat-value low\">59.2%<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">GDP growth (2023)<\/span><span class=\"prov-stat-value ok\">+6.9%<\/span><\/div>\n <div class=\"prov-gdp-bar\">\n <div class=\"prov-gdp-label\">Per capita vs national (\u00a589,358)<\/div>\n <div class=\"prov-gdp-track\"><div class=\"prov-gdp-fill\" style=\"width:20%;background:var(--qh)\"><\/div><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n \n <div class=\"prov-card fade-up\">\n <div class=\"prov-card-accent\" style=\"background:var(--qh)\"><\/div>\n <div class=\"prov-card-top\">\n <div class=\"prov-card-name\">Golog \u679c\u6d1b<\/div>\n <div class=\"prov-card-sub\"><span class=\"td-flag flag-qh\">Qinghai<\/span> ~97% Tibetan \u00b7 222,000 pop.<\/div>\n <\/div>\n <div class=\"prov-card-body\">\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Per capita GDP (2023)<\/span><span class=\"prov-stat-value low\">\u00a530,406<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Rural income (2023)<\/span><span class=\"prov-stat-value low\">\u00a512,404<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Urban income (2023)<\/span><span class=\"prov-stat-value mid\">\u00a544,365<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Rural min. guarantee<\/span><span class=\"prov-stat-value low\">26,394 persons<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">GDP growth (2023)<\/span><span class=\"prov-stat-value mid\">+3.8%<\/span><\/div>\n <div class=\"prov-gdp-bar\">\n <div class=\"prov-gdp-label\">Per capita vs national<\/div>\n <div class=\"prov-gdp-track\"><div class=\"prov-gdp-fill\" style=\"width:34%;background:var(--qh)\"><\/div><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n \n <div class=\"prov-card fade-up\">\n <div class=\"prov-card-accent\" style=\"background:var(--qh)\"><\/div>\n <div class=\"prov-card-top\">\n <div class=\"prov-card-name\">Huangnan \u9ec4\u5357<\/div>\n <div class=\"prov-card-sub\"><span class=\"td-flag flag-qh\">Qinghai<\/span> ~75% Tibetan \u00b7 ~280,000 pop.<\/div>\n <\/div>\n <div class=\"prov-card-body\">\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">GDP (2022)<\/span><span class=\"prov-stat-value mid\">\u00a5110.89B<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Rural income (est. 2023)<\/span><span class=\"prov-stat-value low\">~\u00a511,500<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Urban income (est. 2023)<\/span><span class=\"prov-stat-value mid\">~\u00a538,000<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Urbanisation<\/span><span class=\"prov-stat-value low\">~37%<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Industry share<\/span><span class=\"prov-stat-value mid\">~25%<\/span><\/div>\n <div class=\"prov-gdp-bar\">\n <div class=\"prov-gdp-label\">Per capita vs national (est.)<\/div>\n <div class=\"prov-gdp-track\"><div class=\"prov-gdp-fill\" style=\"width:39%;background:var(--qh)\"><\/div><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n \n <div class=\"prov-card fade-up\">\n <div class=\"prov-card-accent\" style=\"background:var(--sc)\"><\/div>\n <div class=\"prov-card-top\">\n <div class=\"prov-card-name\">Garz\u00ea \u7518\u5b5c<\/div>\n <div class=\"prov-card-sub\"><span class=\"td-flag flag-sc\">Sichuan<\/span> ~79% Tibetan \u00b7 1.1M pop.<\/div>\n <\/div>\n <div class=\"prov-card-body\">\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Per capita GDP (est. 2023)<\/span><span class=\"prov-stat-value mid\">~\u00a540,000<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Rural income (2023)<\/span><span class=\"prov-stat-value mid\">~\u00a517,600<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Urban income (2023)<\/span><span class=\"prov-stat-value mid\">~\u00a540,000<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Urbanisation (2023)<\/span><span class=\"prov-stat-value low\">32.9%<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Urban avg wage (2023)<\/span><span class=\"prov-stat-value ok\">\u00a5115,189<\/span><\/div>\n <div class=\"prov-gdp-bar\">\n <div class=\"prov-gdp-label\">Per capita vs national<\/div>\n <div class=\"prov-gdp-track\"><div class=\"prov-gdp-fill\" style=\"width:45%;background:var(--sc)\"><\/div><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n \n <div class=\"prov-card fade-up\">\n <div class=\"prov-card-accent\" style=\"background:var(--sc)\"><\/div>\n <div class=\"prov-card-top\">\n <div class=\"prov-card-name\">Aba \u963f\u575d (Ngawa)<\/div>\n <div class=\"prov-card-sub\"><span class=\"td-flag flag-sc\">Sichuan<\/span> ~55% Tibetan \u00b7 820,000 pop.<\/div>\n <\/div>\n <div class=\"prov-card-body\">\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Per capita GDP (2023)<\/span><span class=\"prov-stat-value mid\">\u00a561,067<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Rural income (2023, est.)<\/span><span class=\"prov-stat-value mid\">~\u00a516,800<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Rural low guarantee<\/span><span class=\"prov-stat-value low\">66,199 persons<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Urban low guarantee<\/span><span class=\"prov-stat-value mid\">9,452 persons<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">GDP growth (2023)<\/span><span class=\"prov-stat-value ok\">+6.8%<\/span><\/div>\n <div class=\"prov-gdp-bar\">\n <div class=\"prov-gdp-label\">Per capita vs national<\/div>\n <div class=\"prov-gdp-track\"><div class=\"prov-gdp-fill\" style=\"width:68%;background:var(--sc)\"><\/div><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n \n <div class=\"prov-card fade-up\">\n <div class=\"prov-card-accent\" style=\"background:var(--yn)\"><\/div>\n <div class=\"prov-card-top\">\n <div class=\"prov-card-name\">Diqing \u8fea\u5e86 (Shangri-La)<\/div>\n <div class=\"prov-card-sub\"><span class=\"td-flag flag-yn\">Yunnan<\/span> 36% Tibetan \u00b7 395,000 pop.<\/div>\n <\/div>\n <div class=\"prov-card-body\">\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Per capita GDP (2023)<\/span><span class=\"prov-stat-value mid\">\u00a577,287<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Rural income (2023)<\/span><span class=\"prov-stat-value low\">\u00a513,447<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Urban income (2023)<\/span><span class=\"prov-stat-value ok\">\u00a545,610<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">GDP growth (2023)<\/span><span class=\"prov-stat-value low\">+0.6%<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Urbanisation<\/span><span class=\"prov-stat-value low\">~33%<\/span><\/div>\n <div class=\"prov-gdp-bar\">\n <div class=\"prov-gdp-label\">Per capita vs national<\/div>\n <div class=\"prov-gdp-track\"><div class=\"prov-gdp-fill\" style=\"width:86%;background:var(--yn)\"><\/div><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n \n <div class=\"prov-card fade-up\">\n <div class=\"prov-card-accent\" style=\"background:var(--gs)\"><\/div>\n <div class=\"prov-card-top\">\n <div class=\"prov-card-name\">Gannan \u7518\u5357 (Kanlho)<\/div>\n <div class=\"prov-card-sub\"><span class=\"td-flag flag-gs\">Gansu<\/span> ~55% Tibetan \u00b7 748,000 pop.<\/div>\n <\/div>\n <div class=\"prov-card-body\">\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Per capita GDP (2024)<\/span><span class=\"prov-stat-value mid\">\u00a538,425<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Rural income (2024)<\/span><span class=\"prov-stat-value low\">\u00a512,706<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Urban income (2024)<\/span><span class=\"prov-stat-value mid\">\u00a534,317<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Rural Engel coefficient<\/span><span class=\"prov-stat-value low\">40.1%<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">GDP growth (2024)<\/span><span class=\"prov-stat-value ok\">+5.2%<\/span><\/div>\n <div class=\"prov-gdp-bar\">\n <div class=\"prov-gdp-label\">Per capita vs national<\/div>\n <div class=\"prov-gdp-track\"><div class=\"prov-gdp-fill\" style=\"width:43%;background:var(--gs)\"><\/div><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n \n <div class=\"prov-card fade-up\" style=\"background:var(--ink);\">\n <div class=\"prov-card-accent\" style=\"background:var(--amber)\"><\/div>\n <div class=\"prov-card-top\" style=\"background:var(--ink-soft);border-color:rgba(255,255,255,.1)\">\n <div class=\"prov-card-name\" style=\"color:#fff\">National Average<\/div>\n <div class=\"prov-card-sub\" style=\"color:rgba(255,255,255,.5)\">China 2023 Reference Benchmarks<\/div>\n <\/div>\n <div class=\"prov-card-body\">\n <div class=\"prov-stat\" style=\"border-color:rgba(255,255,255,.1)\"><span class=\"prov-stat-label\" style=\"color:rgba(255,255,255,.5)\">Per capita GDP (2023)<\/span><span class=\"prov-stat-value\" style=\"color:var(--amber)\">\u00a589,358<\/span><\/div>\n <div class=\"prov-stat\" style=\"border-color:rgba(255,255,255,.1)\"><span class=\"prov-stat-label\" style=\"color:rgba(255,255,255,.5)\">Rural income (2023)<\/span><span class=\"prov-stat-value\" style=\"color:var(--amber)\">\u00a521,691<\/span><\/div>\n <div class=\"prov-stat\" style=\"border-color:rgba(255,255,255,.1)\"><span class=\"prov-stat-label\" style=\"color:rgba(255,255,255,.5)\">Urban income (2023)<\/span><span class=\"prov-stat-value\" style=\"color:var(--amber)\">\u00a550,734<\/span><\/div>\n <div class=\"prov-stat\" style=\"border-color:rgba(255,255,255,.1)\"><span class=\"prov-stat-label\" style=\"color:rgba(255,255,255,.5)\">Urbanisation rate<\/span><span class=\"prov-stat-value\" style=\"color:var(--amber)\">66.2%<\/span><\/div>\n <div class=\"prov-stat\" style=\"border-bottom:none\"><span class=\"prov-stat-label\" style=\"color:rgba(255,255,255,.5)\">Primary sector % GDP<\/span><span class=\"prov-stat-value\" style=\"color:var(--amber)\">7.4%<\/span><\/div>\n <\/div>\n <\/div>\n <\/div>\n<\/section>\n\n\n<section class=\"section\">\n <div class=\"section-header\">\n <span class=\"section-num\">02<\/span>\n <h2 class=\"section-title\">Rural Income \u2014 The Deepest Structural Deficit<\/h2>\n <\/div>\n\n <div class=\"grid-chart-wide\">\n <div>\n <div class=\"card\">\n <div class=\"card-header\">\n <span class=\"card-title\">Rural Per Capita Disposable Income (CNY, 2023\u20132024)<\/span>\n <span style=\"font-size:11px;color:var(--ink-muted)\">vs National \u00a521,691<\/span>\n <\/div>\n <div class=\"card-body\">\n <div class=\"chart-wrap\" style=\"height:290px;\">\n <canvas id=\"ruralIncomeChart\"><\/canvas>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n\n <div>\n <div class=\"callout\">\n <div class=\"callout-label\">Subsistence-Adjacent Incomes<\/div>\n <p>Yushu’s estimated rural income of <strong>~\u00a59,500<\/strong> (2023) represents approximately <strong>44% of the national rural average<\/strong> and sits below international poverty thresholds when adjusted for purchasing power. Golog’s rural income of <strong>\u00a512,404<\/strong> is 57% of the national average. These are the lowest figures for any prefecture-level units in China.<\/p>\n <\/div>\n <div class=\"callout amber\" style=\"margin-top:16px;\">\n <div class=\"callout-label\">The Engel Coefficient Warning<\/div>\n <p>Gannan’s rural Engel coefficient is <strong>40.1%<\/strong> (2024) \u2014 meaning 40% of household income is spent on food. International standards classify 40\u201350% as “barely adequate.” A coefficient above 40% signals insufficient income for non-food expenditure, including healthcare, education, and housing.<\/p>\n <\/div>\n <div style=\"margin-top:20px;\">\n <div class=\"bar-section-label\">Rural income as % of national avg<\/div>\n <div class=\"bar-compare\">\n <div class=\"bar-row\"><div class=\"bar-label\" style=\"color:var(--qh);font-weight:700;\">Yushu \u7389\u6811<\/div><div class=\"bar-track\"><div class=\"bar-fill\" style=\"width:44%;background:var(--qh)\"><\/div><\/div><div class=\"bar-val\" style=\"color:var(--qh)\">44%<\/div><\/div>\n <div class=\"bar-row\"><div class=\"bar-label\" style=\"color:var(--qh);\">Golog \u679c\u6d1b<\/div><div class=\"bar-track\"><div class=\"bar-fill\" style=\"width:57%;background:var(--qh)\"><\/div><\/div><div class=\"bar-val\">57%<\/div><\/div>\n <div class=\"bar-row\"><div class=\"bar-label\" style=\"color:var(--gs);\">Gannan \u7518\u5357<\/div><div class=\"bar-track\"><div class=\"bar-fill\" style=\"width:59%;background:var(--gs)\"><\/div><\/div><div class=\"bar-val\">59%<\/div><\/div>\n <div class=\"bar-row\"><div class=\"bar-label\" style=\"color:var(--yn);\">Diqing \u8fea\u5e86<\/div><div class=\"bar-track\"><div class=\"bar-fill\" style=\"width:62%;background:var(--yn)\"><\/div><\/div><div class=\"bar-val\">62%<\/div><\/div>\n <div class=\"bar-row\"><div class=\"bar-label\" style=\"color:var(--sc);\">Aba \u963f\u575d<\/div><div class=\"bar-track\"><div class=\"bar-fill\" style=\"width:77%;background:var(--sc)\"><\/div><\/div><div class=\"bar-val\">77%<\/div><\/div>\n <div class=\"bar-row\"><div class=\"bar-label\" style=\"color:var(--sc);\">Garz\u00ea \u7518\u5b5c<\/div><div class=\"bar-track\"><div class=\"bar-fill\" style=\"width:81%;background:var(--sc)\"><\/div><\/div><div class=\"bar-val\">81%<\/div><\/div>\n <div class=\"bar-row\"><div class=\"bar-label\" style=\"color:var(--amber);font-weight:700;\">National avg<\/div><div class=\"bar-track\"><div class=\"bar-fill\" style=\"width:100%;background:var(--amber)\"><\/div><\/div><div class=\"bar-val\" style=\"color:var(--amber)\">100%<\/div><\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n<\/section>\n\n\n<section class=\"section\">\n <div class=\"section-header\">\n <span class=\"section-num\">03<\/span>\n <h2 class=\"section-title\">Per Capita GDP \u2014 Extreme Concentration at the Bottom<\/h2>\n <\/div>\n\n <div class=\"grid-2\">\n <div class=\"card\">\n <div class=\"card-header\">\n <span class=\"card-title\">Per Capita GDP by Prefecture (CNY, 2023)<\/span>\n <\/div>\n <div class=\"card-body\">\n <div class=\"chart-wrap\" style=\"height:280px;\">\n <canvas id=\"gdpChart\"><\/canvas>\n <\/div>\n <\/div>\n <\/div>\n <div>\n <div class=\"callout\">\n <div class=\"callout-label\">Yushu: Lowest Prefecture-Level GDP in China<\/div>\n <p>At approximately <strong>\u00a518,231 per capita<\/strong> (2023), Yushu is not merely the lowest-income Tibetan prefecture \u2014 it is, according to multiple provincial analyses citing official data, the <strong>lowest per capita GDP among all prefecture-level units in the entire country<\/strong>. A 2022 analysis in Guancha noted that Yushu and Golog together were the only prefecture-level units in China with per capita GDP below USD 5,000. The 2023 figures have not materially altered this ranking.<\/p>\n <\/div>\n <div style=\"margin-top:20px;\">\n <table class=\"data-table\">\n <thead>\n <tr><th>Prefecture<\/th><th>Per Capita GDP<\/th><th>% of National<\/th><th>Province<\/th><\/tr>\n <\/thead>\n <tbody>\n <tr><td>Yushu \u7389\u6811<\/td><td class=\"td-red\">\u00a518,231<\/td><td class=\"td-red\">20.4%<\/td><td><span class=\"td-flag flag-qh\">QH<\/span><\/td><\/tr>\n <tr><td>Golog \u679c\u6d1b<\/td><td class=\"td-red\">\u00a530,406<\/td><td class=\"td-red\">34.0%<\/td><td><span class=\"td-flag flag-qh\">QH<\/span><\/td><\/tr>\n <tr><td>Gannan \u7518\u5357<\/td><td class=\"td-red\">\u00a538,425<\/td><td class=\"td-amber\">43.0%<\/td><td><span class=\"td-flag flag-gs\">GS<\/span><\/td><\/tr>\n <tr><td>Garz\u00ea \u7518\u5b5c<\/td><td class=\"td-amber\">~\u00a540,000<\/td><td class=\"td-amber\">~44.8%<\/td><td><span class=\"td-flag flag-sc\">SC<\/span><\/td><\/tr>\n <tr><td>Aba \u963f\u575d<\/td><td class=\"td-amber\">\u00a561,067<\/td><td class=\"td-amber\">68.3%<\/td><td><span class=\"td-flag flag-sc\">SC<\/span><\/td><\/tr>\n <tr><td>Diqing \u8fea\u5e86<\/td><td>\u00a577,287<\/td><td>86.5%<\/td><td><span class=\"td-flag flag-yn\">YN<\/span><\/td><\/tr>\n <tr><td><strong>National avg<\/strong><\/td><td><strong>\u00a589,358<\/strong><\/td><td><strong>100%<\/strong><\/td><td>\u2014<\/td><\/tr>\n <\/tbody>\n <\/table>\n <\/div>\n <\/div>\n <\/div>\n<\/section>\n\n\n<section class=\"section\">\n <div class=\"section-header\">\n <span class=\"section-num\">04<\/span>\n <h2 class=\"section-title\">Economic Structure \u2014 Primary Sector Dominance<\/h2>\n <\/div>\n\n <div class=\"grid-2\">\n <div class=\"card\">\n <div class=\"card-header\">\n <span class=\"card-title\">Primary Sector as % of GDP \u2014 Selected Prefectures vs National<\/span>\n <\/div>\n <div class=\"card-body\">\n <div class=\"chart-wrap\" style=\"height:260px;\">\n <canvas id=\"sectorChart\"><\/canvas>\n <\/div>\n <\/div>\n <\/div>\n\n <div>\n <div class=\"callout\">\n <div class=\"callout-label\">What Primary Sector Dominance Means<\/div>\n <p>Yushu’s GDP is <strong>59.2% primary sector<\/strong> \u2014 meaning its economy is dominated by herding and agriculture, with only 12.3% in secondary industry (almost all construction) and 28.5% in services. This is not just an indicator of poverty: it is a structural indicator of the <strong>absence of the economic activities<\/strong> \u2014 manufacturing, skilled services, finance, technology \u2014 that generate compounding productivity growth, formal employment, and tax revenue. The national primary sector share is 7.4%.<\/p>\n <\/div>\n <div style=\"margin-top:20px;\">\n <table class=\"data-table\">\n <thead>\n <tr><th>Prefecture<\/th><th>Primary %<\/th><th>Secondary %<\/th><th>Tertiary %<\/th><\/tr>\n <\/thead>\n <tbody>\n <tr><td>Yushu \u7389\u6811<\/td><td class=\"td-red\">59.2%<\/td><td>12.3%<\/td><td>28.5%<\/td><\/tr>\n <tr><td>Aba \u963f\u575d<\/td><td class=\"td-amber\">19.6%<\/td><td>24.4%<\/td><td>56.0%<\/td><\/tr>\n <tr><td>Diqing \u8fea\u5e86<\/td><td>6.7%<\/td><td class=\"td-amber\">34.6%<\/td><td class=\"td-teal\">58.7%<\/td><\/tr>\n <tr><td>Gannan \u7518\u5357<\/td><td class=\"td-amber\">16.9%<\/td><td>17.0%<\/td><td class=\"td-teal\">66.1%<\/td><\/tr>\n <tr><td><strong>China national<\/strong><\/td><td><strong>7.4%<\/strong><\/td><td><strong>38.3%<\/strong><\/td><td><strong>54.3%<\/strong><\/td><\/tr>\n <\/tbody>\n <\/table>\n <\/div>\n <div class=\"callout amber\" style=\"margin-top:20px;\">\n <div class=\"callout-label\">Garz\u00ea: Wage Paradox<\/div>\n <p>Garz\u00ea’s non-private urban unit average annual wage was <strong>\u00a5120,885 in 2023<\/strong> \u2014 while rural per capita income was approximately \u00a517,600. This extreme intra-regional gap (nearly <strong>7:1<\/strong>) reflects the same dynamic documented in the TAR: high government-sector wages paid to non-Tibetan state employees coexisting with subsistence-level rural incomes.<\/p>\n <\/div>\n <\/div>\n <\/div>\n<\/section>\n\n\n<section class=\"section\">\n <div class=\"section-header\">\n <span class=\"section-num\">05<\/span>\n <h2 class=\"section-title\">Urbanisation \u2014 The Structural Exclusion from Growth<\/h2>\n <\/div>\n\n <div class=\"grid-chart-wide\">\n <div class=\"card\">\n <div class=\"card-header\">\n <span class=\"card-title\">Urbanisation Rate (%) \u2014 Tibetan Prefectures vs National<\/span>\n <\/div>\n <div class=\"card-body\">\n <div class=\"chart-wrap\" style=\"height:280px;\">\n <canvas id=\"urbanChart\"><\/canvas>\n <\/div>\n <\/div>\n <\/div>\n <div>\n <div class=\"callout\">\n <div class=\"callout-label\">Urban Economy, Rural Tibetan<\/div>\n <p>Every Tibetan autonomous prefecture in these four provinces has an urbanisation rate <strong>well below the national average of 66.2%<\/strong>. Most cluster between 32\u201353%. Since economic growth across China is concentrated in urban sectors \u2014 services, construction, trade, government \u2014 low urbanisation is itself a mechanism of exclusion from growth. Where GDP growth does occur in these prefectures, its beneficiaries are disproportionately the urban and government-employed population.<\/p>\n <\/div>\n <div style=\"margin-top:20px;\">\n <div class=\"bar-section-label\">Urbanisation rates (2023)<\/div>\n <div class=\"bar-compare\">\n <div class=\"bar-row\"><div class=\"bar-label\" style=\"color:var(--amber);font-weight:700;\">National avg<\/div><div class=\"bar-track\"><div class=\"bar-fill\" style=\"width:100%;background:var(--amber)\"><\/div><\/div><div class=\"bar-val\" style=\"color:var(--amber)\">66.2%<\/div><\/div>\n <div class=\"bar-row\"><div class=\"bar-label\" style=\"color:var(--qh);\">Yushu \u7389\u6811<\/div><div class=\"bar-track\"><div class=\"bar-fill\" style=\"width:80%;background:var(--qh)\"><\/div><\/div><div class=\"bar-val\">52.8%<\/div><\/div>\n <div class=\"bar-row\"><div class=\"bar-label\" style=\"color:var(--sc);\">Aba \u963f\u575d<\/div><div class=\"bar-track\"><div class=\"bar-fill\" style=\"width:61%;background:var(--sc)\"><\/div><\/div><div class=\"bar-val\">~40%<\/div><\/div>\n <div class=\"bar-row\"><div class=\"bar-label\" style=\"color:var(--qh);\">Huangnan \u9ec4\u5357<\/div><div class=\"bar-track\"><div class=\"bar-fill\" style=\"width:56%;background:var(--qh)\"><\/div><\/div><div class=\"bar-val\">~37%<\/div><\/div>\n <div class=\"bar-row\"><div class=\"bar-label\" style=\"color:var(--gs);\">Gannan \u7518\u5357<\/div><div class=\"bar-track\"><div class=\"bar-fill\" style=\"width:54%;background:var(--gs)\"><\/div><\/div><div class=\"bar-val\">~36%<\/div><\/div>\n <div class=\"bar-row\"><div class=\"bar-label\" style=\"color:var(--yn);\">Diqing \u8fea\u5e86<\/div><div class=\"bar-track\"><div class=\"bar-fill\" style=\"width:53%;background:var(--yn)\"><\/div><\/div><div class=\"bar-val\">~33%<\/div><\/div>\n <div class=\"bar-row\"><div class=\"bar-label\" style=\"color:var(--sc);font-weight:700;\">Garz\u00ea \u7518\u5b5c<\/div><div class=\"bar-track\"><div class=\"bar-fill\" style=\"width:50%;background:var(--sc)\"><\/div><\/div><div class=\"bar-val\">32.9%<\/div><\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n<\/section>\n\n\n<section class=\"section\">\n <div class=\"section-header\">\n <span class=\"section-num\">06<\/span>\n <h2 class=\"section-title\">Social Protection \u2014 The Scale of Residual Vulnerability<\/h2>\n <\/div>\n\n <div class=\"grid-2\">\n <div>\n <table class=\"data-table\">\n <thead>\n <tr><th>Prefecture<\/th><th>Rural Min. Guarantee<\/th><th>Urban Min. Guarantee<\/th><th>Total Supported<\/th><th>% of Pop.<\/th><\/tr>\n <\/thead>\n <tbody>\n <tr><td>Aba \u963f\u575d (SC)<\/td><td class=\"td-red\">66,199<\/td><td>9,452<\/td><td class=\"td-amber\">75,651<\/td><td class=\"td-red\">~9.2%<\/td><\/tr>\n <tr><td>Golog \u679c\u6d1b (QH)<\/td><td class=\"td-red\">26,394<\/td><td>6,179<\/td><td class=\"td-amber\">32,573<\/td><td class=\"td-red\">~14.7%<\/td><\/tr>\n <tr><td>Gannan \u7518\u5357 (GS)<\/td><td class=\"td-amber\">~30,000 est.<\/td><td>~8,000 est.<\/td><td>~38,000<\/td><td class=\"td-amber\">~5.1%<\/td><\/tr>\n <tr><td>TAR (for comparison)<\/td><td>144,548<\/td><td>23,126<\/td><td class=\"td-red\">167,674<\/td><td class=\"td-red\">~4.6%<\/td><\/tr>\n <tr><td><strong>China national avg<\/strong><\/td><td>358.2\u4e07 (Sichuan ex.)<\/td><td>51.4\u4e07<\/td><td>\u2014<\/td><td><strong>~3.0%<\/strong><\/td><\/tr>\n <\/tbody>\n <\/table>\n <div style=\"margin-top:16px;\" class=\"callout\">\n <div class=\"callout-label\">Golog’s Hidden Poverty Rate<\/div>\n <p>With <strong>26,394 rural residents<\/strong> on minimum living guarantees out of a total population of ~222,000, Golog has approximately <strong>11.9% of its total population<\/strong> on state subsistence support \u2014 more than four times the national proportion. This is consistent with the prefecture’s structural economic position as the second-poorest prefecture in China by per capita GDP.<\/p>\n <\/div>\n <\/div>\n\n <div>\n <div class=\"card\">\n <div class=\"card-header\">\n <span class=\"card-title\">Minimum Living Guarantee Recipients vs Population (2023)<\/span>\n <\/div>\n <div class=\"card-body\">\n <div class=\"chart-wrap\" style=\"height:260px;\">\n <canvas id=\"welfareChart\"><\/canvas>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n<\/section>\n\n\n<section class=\"section\">\n <div class=\"section-header\">\n <span class=\"section-num\">07<\/span>\n <h2 class=\"section-title\">Full Comparative Indicator Table<\/h2>\n <\/div>\n\n <table class=\"data-table\" style=\"font-size:12px;\">\n <thead>\n <tr>\n <th>Prefecture<\/th>\n <th>Province<\/th>\n <th>Tibetan %<\/th>\n <th>Population<\/th>\n <th>Per Cap. GDP<\/th>\n <th>Rural Income<\/th>\n <th>Urban Income<\/th>\n <th>U\/R Ratio<\/th>\n <th>Urbanisation<\/th>\n <th>Primary %<\/th>\n <th>GDP Growth<\/th>\n <\/tr>\n <\/thead>\n <tbody>\n <tr><td>Yushu \u7389\u6811<\/td><td><span class=\"td-flag flag-qh\">QH<\/span><\/td><td class=\"td-red\">~97%<\/td><td>434,000<\/td><td class=\"td-red\">\u00a518,231<\/td><td class=\"td-red\">~\u00a59,500<\/td><td>~\u00a532,000<\/td><td class=\"td-red\">~3.4:1<\/td><td class=\"td-amber\">52.8%<\/td><td class=\"td-red\">59.2%<\/td><td>+6.9%<\/td><\/tr>\n <tr><td>Golog \u679c\u6d1b<\/td><td><span class=\"td-flag flag-qh\">QH<\/span><\/td><td class=\"td-red\">~97%<\/td><td>222,000<\/td><td class=\"td-red\">\u00a530,406<\/td><td class=\"td-red\">\u00a512,404<\/td><td>\u00a544,365<\/td><td class=\"td-red\">3.58:1<\/td><td class=\"td-amber\">~40%<\/td><td class=\"td-amber\">~25%<\/td><td>+3.8%<\/td><\/tr>\n <tr><td>Huangnan \u9ec4\u5357<\/td><td><span class=\"td-flag flag-qh\">QH<\/span><\/td><td class=\"td-amber\">~75%<\/td><td>~280,000<\/td><td class=\"td-amber\">~\u00a535,000<\/td><td class=\"td-red\">~\u00a511,500<\/td><td>~\u00a538,000<\/td><td class=\"td-amber\">~3.3:1<\/td><td class=\"td-red\">~37%<\/td><td class=\"td-amber\">~29%<\/td><td>~+5%<\/td><\/tr>\n <tr><td>Garz\u00ea \u7518\u5b5c<\/td><td><span class=\"td-flag flag-sc\">SC<\/span><\/td><td class=\"td-amber\">~79%<\/td><td>1,106,000<\/td><td class=\"td-amber\">~\u00a540,000<\/td><td class=\"td-amber\">~\u00a517,600<\/td><td>~\u00a540,000<\/td><td class=\"td-amber\">2.27:1<\/td><td class=\"td-red\">32.9%<\/td><td class=\"td-amber\">~22%<\/td><td>~+6%<\/td><\/tr>\n <tr><td>Aba \u963f\u575d<\/td><td><span class=\"td-flag flag-sc\">SC<\/span><\/td><td>~55%<\/td><td>820,000<\/td><td class=\"td-amber\">\u00a561,067<\/td><td class=\"td-amber\">~\u00a516,800<\/td><td>~\u00a539,000<\/td><td class=\"td-amber\">~2.3:1<\/td><td class=\"td-amber\">~40%<\/td><td class=\"td-amber\">19.6%<\/td><td>+6.8%<\/td><\/tr>\n <tr><td>Diqing \u8fea\u5e86<\/td><td><span class=\"td-flag flag-yn\">YN<\/span><\/td><td>36.3%<\/td><td>395,000<\/td><td>\u00a577,287<\/td><td class=\"td-amber\">\u00a513,447<\/td><td class=\"td-teal\">\u00a545,610<\/td><td class=\"td-red\">3.39:1<\/td><td class=\"td-red\">~33%<\/td><td>6.7%<\/td><td class=\"td-red\">+0.6%<\/td><\/tr>\n <tr><td>Gannan \u7518\u5357<\/td><td><span class=\"td-flag flag-gs\">GS<\/span><\/td><td>~55%<\/td><td>748,000<\/td><td class=\"td-amber\">\u00a538,425<\/td><td class=\"td-red\">\u00a512,706<\/td><td class=\"td-amber\">\u00a534,317<\/td><td class=\"td-amber\">2.70:1<\/td><td class=\"td-red\">~36%<\/td><td class=\"td-amber\">16.9%<\/td><td>+5.2%<\/td><\/tr>\n <tr style=\"background:var(--paper-2);\"><td><strong>TAR (ref.)<\/strong><\/td><td>\u2014<\/td><td>86%<\/td><td>3,648,100<\/td><td>~\u00a565,000<\/td><td>\u00a519,924<\/td><td>\u00a551,900<\/td><td>2.60:1<\/td><td>38.9%<\/td><td>9.0%<\/td><td>+8.7%<\/td><\/tr>\n <tr style=\"background:var(--ink);color:#fff;\"><td style=\"color:#fff;font-weight:700;\">China National<\/td><td style=\"color:rgba(255,255,255,.5);\">\u2014<\/td><td style=\"color:rgba(255,255,255,.5);\">\u2014<\/td><td style=\"color:rgba(255,255,255,.5);\">1.41B<\/td><td style=\"color:var(--amber);font-family:'DM Mono',monospace;font-size:12px;\">\u00a589,358<\/td><td style=\"color:var(--amber);font-family:'DM Mono',monospace;font-size:12px;\">\u00a521,691<\/td><td style=\"color:var(--amber);font-family:'DM Mono',monospace;font-size:12px;\">\u00a550,734<\/td><td style=\"color:var(--amber);font-family:'DM Mono',monospace;font-size:12px;\">2.39:1<\/td><td style=\"color:var(--amber);font-family:'DM Mono',monospace;font-size:12px;\">66.2%<\/td><td style=\"color:var(--amber);font-family:'DM Mono',monospace;font-size:12px;\">7.4%<\/td><td style=\"color:rgba(255,255,255,.5);\">+5.2%<\/td><\/tr>\n <\/tbody>\n <\/table>\n<\/section>\n\n\n<section class=\"section\">\n <div class=\"section-header\">\n <span class=\"section-num\">08<\/span>\n <h2 class=\"section-title\">Cross-Regional Patterns of Concern<\/h2>\n <\/div>\n\n <div style=\"max-width:900px;margin-bottom:28px;font-size:14.5px;line-height:1.8;color:var(--ink-soft);\">\n The data across these seven prefectures, examined alongside the TAR’s indicators, reveal a coherent pattern that is not confined to any single province or jurisdiction. The structural characteristics of underdevelopment in Tibet’s Autonomous Region are replicated \u2014 and in some cases intensified \u2014 across the Tibetan inhabited areas of the four surrounding provinces.\n <\/div>\n\n <div class=\"concern-grid\">\n <div class=\"concern-cell\">\n <div class=\"concern-icon\">\ud83d\udcc9<\/div>\n <div class=\"concern-title\">Yushu: Last in China<\/div>\n <div class=\"concern-body\">At ~\u00a518,231 per capita GDP, Yushu is the lowest-ranked prefecture-level unit in all of China. Its 59.2% primary sector dependency and minimal industrial base confirm this is a structural condition, not a cyclical one. Growth rates have been positive but have not altered the ranking.<\/div>\n <\/div>\n <div class=\"concern-cell\">\n <div class=\"concern-icon\">\ud83d\udd34<\/div>\n <div class=\"concern-title\">Golog: 14.7% on State Support<\/div>\n <div class=\"concern-body\">Nearly 15% of Golog’s total population is enrolled in minimum living guarantees \u2014 the state’s subsistence safety net. At a per capita GDP of \u00a530,406, 34% of the national average, this prefecture’s economy cannot generate the income necessary to sustain its population without permanent state subsidy.<\/div>\n <\/div>\n <div class=\"concern-cell\">\n <div class=\"concern-icon\">\u26a0\ufe0f<\/div>\n <div class=\"concern-title\">Gannan: Food Insecurity Threshold<\/div>\n <div class=\"concern-body\">Gannan’s rural Engel coefficient of 40.1% sits at the international threshold that classifies food expenditure as occupying “barely adequate” share of household income. Below this level, households have insufficient income for education, healthcare, or emergency expenditure.<\/div>\n <\/div>\n <div class=\"concern-cell\">\n <div class=\"concern-icon\">\ud83c\udfd9\ufe0f<\/div>\n <div class=\"concern-title\">Universal Urbanisation Deficit<\/div>\n <div class=\"concern-body\">Every Tibetan prefecture across all four provinces shows urbanisation rates 14\u201333 percentage points below the national average. Since economic growth concentrates in urban areas, this structural gap systematically excludes the predominantly rural Tibetan population from participation in growth.<\/div>\n <\/div>\n <div class=\"concern-cell\">\n <div class=\"concern-icon\">\ud83d\udcbc<\/div>\n <div class=\"concern-title\">Garz\u00ea’s Internal Wage Paradox<\/div>\n <div class=\"concern-body\">Garz\u00ea’s non-private urban unit employees earned an average of \u00a5120,885 in 2023, while rural per capita income was ~\u00a517,600 \u2014 a ratio of nearly 7:1. These high urban wages accrue overwhelmingly to state sector and government employees, not to the rural Tibetan majority.<\/div>\n <\/div>\n <div class=\"concern-cell\">\n <div class=\"concern-icon\">\ud83d\udcca<\/div>\n <div class=\"concern-title\">The Pattern Holds Across Jurisdictions<\/div>\n <div class=\"concern-body\">The same structural pattern documented in the TAR \u2014 primary-sector dependency, low urbanisation, high social welfare dependency, extreme urban-rural income gaps, and fiscal transfer reliance \u2014 appears consistently across every Tibetan autonomous prefecture in every province examined.<\/div>\n <\/div>\n <\/div>\n\n <div style=\"margin-top:32px;\" class=\"callout amber\">\n <div class=\"callout-label\">A Critical Caveat on Diqing<\/div>\n <p>Diqing (Yunnan) shows a relatively higher per capita GDP of \u00a577,287, driven by hydropower and copper-gold mining revenues. However, its rural income of only <strong>\u00a513,447<\/strong> \u2014 despite this GDP figure \u2014 illustrates exactly the “enclave economy” dynamic described by Fischer: resource extraction generates GDP without distributing income to the local, predominantly rural Tibetan population. The urban-rural ratio of 3.39:1 in Diqing is also among the highest in this group, consistent with wealth concentration in the non-Tibetan urban sector. Additionally, only 36.3% of Diqing’s population is Tibetan, with Lisu (30.2%) and Naxi (12.5%) forming significant portions \u2014 so the “Tibetan prefecture” designation encompasses a much more ethnically heterogeneous population than the Qinghai cases.<\/p>\n <\/div>\n<\/section>\n<\/div>\n\n<footer class=\"page-footer\">\n <div class=\"container\">\n <p><strong>Canada Tibet Committee<\/strong> \u00b7 <a href=\"https:\/\/canadatibet.com\">canadatibet.com<\/a> \u00b7 Companion to the Tibet Autonomous Region Human Development Dashboard<\/p>\n <p style=\"margin-top:8px;\">Primary sources: Yushu TAP Statistical Communiqu\u00e9 2023 (Qinghai Provincial Bureau of Statistics, August 2024); Golog TAP Statistical Communiqu\u00e9 2023 (August 2024); Huangnan TAP Statistical Communiqu\u00e9 2022\u20132023; Garz\u00ea TAP Statistical Communiqu\u00e9 2022\u20132023 (Sichuan Statistical Bureau); Aba (Ngawa) TAP Statistical Communiqu\u00e9 2023 (April 2024); Diqing TAP Statistical Communiqu\u00e9s 2022\u20132023 (Yunnan Provincial Government, May 2023\u2013June 2024); Gannan TAP Statistical Communiqu\u00e9 2024 (Gansu Statistical Bureau, May 2025). National reference: NBS National Economic and Social Development Statistical Communiqu\u00e9 2023; Sichuan Provincial Statistical Communiqu\u00e9 2023.<\/p>\n <p style=\"margin-top:8px;\"><em>Note: Some values marked “est.” are interpolated from growth rates applied to prior-year confirmed data, or extrapolated from partial communiqu\u00e9 data. Yushu rural income figure is an estimate based on GDP composition and provincial comparators; the 2023 Yushu communiqu\u00e9 does not publish a standalone rural disposable income figure.<\/em><\/p>\n <\/div>\n<\/footer>\n\n<script>\nChart.defaults.font.family = \"'DM Sans', sans-serif\";\nChart.defaults.color = '#8292a0';\n\nconst C = {\n qh: '#c0392b', sc: '#2980b9', yn: '#27ae60', gs: '#8e44ad',\n nat: '#b8860b', natLight: 'rgba(184,134,11,.15)',\n red: '#c0392b', redL: 'rgba(192,57,43,.12)',\n teal: '#1a6b6b', tealL: 'rgba(26,107,107,.12)',\n};\n\n\/\/ 1. 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WELFARE CHART\nnew Chart(document.getElementById('welfareChart'), {\n type: 'bar',\n data: {\n labels: ['Golog', 'Aba', 'Gannan\\n(est.)', 'TAR\\n(ref.)'],\n datasets: [\n { label: 'Rural min. guarantee', data: [26394, 66199, 30000, 144548], backgroundColor: C.red, borderRadius: 2 },\n { label: 'Urban min. guarantee', data: [6179, 9452, 8000, 23126], backgroundColor: '#e8a8a8', borderRadius: 2 },\n ],\n },\n options: {\n responsive: true, maintainAspectRatio: false,\n plugins: { legend: { position: 'bottom', labels: { boxWidth: 10, padding: 14 } } },\n scales: {\n x: { stacked: true, grid: { display: false } },\n y: { stacked: true, ticks: { callback: v => v.toLocaleString() }, grid: { color: '#edeae4' } },\n },\n },\n});\n<\/script>\n<\/body>\n<\/html>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Tibetan Areas Beyond the TAR \u2014 Canada Tibet Committee Canada Tibet Committee Tibetan Areas Beyond the TAR \u00b7 Data Monitor 2023\u20132024 Companion Report Tibetan Autonomous PrefecturesOutside the TAR China’s Tibetan-inhabited regions extend far beyond the Tibet Autonomous Region into Qinghai, Sichuan, Yunnan, and Gansu provinces. This dashboard presents development data for seven major Tibetan autonomous […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"give_campaign_id":0,"nf_dc_page":"","footnotes":""},"class_list":["post-7084","page","type-page","status-publish","hentry"],"campaignId":"","_links":{"self":[{"href":"https:\/\/canadatibet.com\/fr\/wp-json\/wp\/v2\/pages\/7084","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/canadatibet.com\/fr\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/canadatibet.com\/fr\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/canadatibet.com\/fr\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/canadatibet.com\/fr\/wp-json\/wp\/v2\/comments?post=7084"}],"version-history":[{"count":4,"href":"https:\/\/canadatibet.com\/fr\/wp-json\/wp\/v2\/pages\/7084\/revisions"}],"predecessor-version":[{"id":7088,"href":"https:\/\/canadatibet.com\/fr\/wp-json\/wp\/v2\/pages\/7084\/revisions\/7088"}],"wp:attachment":[{"href":"https:\/\/canadatibet.com\/fr\/wp-json\/wp\/v2\/media?parent=7084"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}

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\n\t\t\t\t\t\t\t\t\t\n\n\n\n\nTibetan Areas Beyond the TAR \u2014 Canada Tibet Committee<\/title>\n<link rel=\"preconnect\" href=\"https:\/\/fonts.googleapis.com\">\n<link href=\"https:\/\/fonts.googleapis.com\/css2?family=Playfair+Display:ital,wght@0,700;0,900;1,700&family=DM+Sans:wght@300;400;500;600&family=DM+Mono:wght@400;500&display=swap\" rel=\"stylesheet\">\n<script src=\"https:\/\/cdnjs.cloudflare.com\/ajax\/libs\/Chart.js\/4.4.1\/chart.umd.min.js\"><\/script>\n<style>\n:root {\n --ink: #0f1923;\n --ink-soft: #3a4a58;\n --ink-muted: #8292a0;\n --paper: #f5f3ef;\n --paper-2: #eae7e0;\n --red: #b83232;\n --red-light: #f0d8d8;\n --amber: #c07820;\n --amber-light:#f5e8cc;\n --teal: #1a6b6b;\n --teal-light:#c4dede;\n --purple: #5c3b7a;\n --rule: #d4cfc7;\n --white: #ffffff;\n \/* Province colours *\/\n --qh: #c0392b; \/* Qinghai red *\/\n --sc: #2980b9; \/* Sichuan blue *\/\n --yn: #27ae60; \/* Yunnan green *\/\n --gs: #8e44ad; \/* Gansu purple 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1fr;}.grid-chart-wide{grid-template-columns:1fr;}}\n@media(max-width:900px){.grid-2,.grid-3,.grid-chart-wide{grid-template-columns:1fr;}.hero,.container,.masthead{padding-left:24px;padding-right:24px;}.bar-row{grid-template-columns:110px 1fr 55px;}}\n@media(max-width:600px){.kpi-strip{grid-template-columns:1fr 1fr;}.prov-bar{flex-wrap:wrap;}.prov-item{flex-basis:50%;}.concern-grid{grid-template-columns:1fr;}}\n\n@keyframes fadeUp{from{opacity:0;transform:translateY(16px);}to{opacity:1;transform:translateY(0);}}\n.fade-up{animation:fadeUp .55s ease forwards;}\n.fade-up:nth-child(2){animation-delay:.07s;}.fade-up:nth-child(3){animation-delay:.14s;}.fade-up:nth-child(4){animation-delay:.21s;}.fade-up:nth-child(5){animation-delay:.28s;}.fade-up:nth-child(6){animation-delay:.35s;}.fade-up:nth-child(7){animation-delay:.42s;}.fade-up:nth-child(8){animation-delay:.49s;}\n<\/style>\n<\/head>\n<body>\n\n\n<header class=\"masthead\">\n <div class=\"masthead-brand\"><a href=\"https:\/\/canadatibet.com\">Canada Tibet Committee<\/a><\/div>\n <div class=\"masthead-tag\">Tibetan Areas Beyond the TAR \u00b7 Data Monitor 2023\u20132024<\/div>\n<\/header>\n\n\n<section class=\"hero\">\n <div class=\"hero-eyebrow\">Companion Report<\/div>\n <h1>Tibetan Autonomous Prefectures<em>Outside the TAR<\/em><\/h1>\n <p class=\"hero-sub\">\n China’s Tibetan-inhabited regions extend far beyond the Tibet Autonomous Region into Qinghai, Sichuan, Yunnan,\n and Gansu provinces. This dashboard presents development data for seven major Tibetan autonomous prefectures\n across those four provinces \u2014 drawing exclusively from Chinese official statistical communiqu\u00e9s, provincial\n yearbooks, and national census bulletins. The picture they reveal closely mirrors, and in some cases deepens,\n the patterns of structural underdevelopment documented for the TAR itself.\n <\/p>\n <div class=\"hero-meta\">\n <div class=\"hero-meta-item\"><span class=\"hero-meta-label\">Prefectures Covered<\/span><span class=\"hero-meta-value\">7 Autonomous Prefectures<\/span><\/div>\n <div class=\"hero-meta-item\"><span class=\"hero-meta-label\">Provinces<\/span><span class=\"hero-meta-value\">Qinghai \u00b7 Sichuan \u00b7 Yunnan \u00b7 Gansu<\/span><\/div>\n <div class=\"hero-meta-item\"><span class=\"hero-meta-label\">Total Population<\/span><span class=\"hero-meta-value\">~3.8 million<\/span><\/div>\n <div class=\"hero-meta-item\"><span class=\"hero-meta-label\">Data Period<\/span><span class=\"hero-meta-value\">2022\u20132024<\/span><\/div>\n <\/div>\n<\/section>\n\n\n<div class=\"prov-bar\">\n <div class=\"prov-item\">\n <span class=\"prov-dot\" style=\"background:var(--qh)\"><\/span>\n <span class=\"prov-name\">QINGHAI<\/span>\n <div class=\"prov-sub\">Yushu \u00b7 Golog \u00b7 Huangnan<\/div>\n <\/div>\n <div class=\"prov-item\">\n <span class=\"prov-dot\" style=\"background:var(--sc)\"><\/span>\n <span class=\"prov-name\">SICHUAN<\/span>\n <div class=\"prov-sub\">Garz\u00ea \u00b7 Aba (Ngawa)<\/div>\n <\/div>\n <div class=\"prov-item\">\n <span class=\"prov-dot\" style=\"background:var(--yn)\"><\/span>\n <span class=\"prov-name\">YUNNAN<\/span>\n <div class=\"prov-sub\">Diqing (Shangri-La)<\/div>\n <\/div>\n <div class=\"prov-item\">\n <span class=\"prov-dot\" style=\"background:var(--gs)\"><\/span>\n <span class=\"prov-name\">GANSU<\/span>\n <div class=\"prov-sub\">Gannan (Kanlho)<\/div>\n <\/div>\n<\/div>\n\n\n<div class=\"kpi-strip\">\n <div class=\"kpi fade-up\">\n <div class=\"kpi-badge\">Lowest in China<\/div>\n <div class=\"kpi-label\">Yushu Per Capita GDP (2023)<\/div>\n <div class=\"kpi-value danger\">\u00a518,231<\/div>\n <div class=\"kpi-sub\">20% of national avg \u00a589,358 \u00b7 Last prefecture in China<\/div>\n <\/div>\n <div class=\"kpi fade-up\">\n <div class=\"kpi-badge amber\">Very Low<\/div>\n <div class=\"kpi-label\">Golog Per Capita GDP (2023)<\/div>\n <div class=\"kpi-value danger\">\u00a530,406<\/div>\n <div class=\"kpi-sub\">34% of national avg \u00b7 2nd lowest in Qinghai<\/div>\n <\/div>\n <div class=\"kpi fade-up\">\n <div class=\"kpi-badge\">Below Provincial<\/div>\n <div class=\"kpi-label\">Gannan Rural Income (2024)<\/div>\n <div class=\"kpi-value warn\">\u00a512,706<\/div>\n <div class=\"kpi-sub\">vs. Gansu provincial rural avg ~\u00a512,000 \u00b7 59% of national rural<\/div>\n <\/div>\n <div class=\"kpi fade-up\">\n <div class=\"kpi-badge amber\">Rural Welfare<\/div>\n <div class=\"kpi-label\">Aba Rural Min. Guarantee (2023)<\/div>\n <div class=\"kpi-value warn\">66,199<\/div>\n <div class=\"kpi-sub\">persons on rural minimum living guarantee<\/div>\n <\/div>\n <div class=\"kpi fade-up\">\n <div class=\"kpi-badge\">Structural Lag<\/div>\n <div class=\"kpi-label\">Yushu Primary Sector GDP Share<\/div>\n <div class=\"kpi-value danger\">59.2%<\/div>\n <div class=\"kpi-sub\">vs. national 7.4% \u00b7 Herding economy, minimal industry<\/div>\n <\/div>\n <div class=\"kpi fade-up\">\n <div class=\"kpi-badge amber\">Low Urbanisation<\/div>\n <div class=\"kpi-label\">Garz\u00ea Urban Population Share (2023)<\/div>\n <div class=\"kpi-value warn\">32.9%<\/div>\n <div class=\"kpi-sub\">vs. national 66.2% \u00b7 Only 33% in urban areas<\/div>\n <\/div>\n<\/div>\n\n\n<div class=\"container\">\n<section class=\"section\">\n <div class=\"section-header\">\n <span class=\"section-num\">01<\/span>\n <h2 class=\"section-title\">Prefecture Profiles \u2014 Key Indicators at a Glance<\/h2>\n <\/div>\n\n <div class=\"grid-4\">\n \n <div class=\"prov-card fade-up\">\n <div class=\"prov-card-accent\" style=\"background:var(--qh)\"><\/div>\n <div class=\"prov-card-top\">\n <div class=\"prov-card-name\">Yushu \u7389\u6811<\/div>\n <div class=\"prov-card-sub\"><span class=\"td-flag flag-qh\">Qinghai<\/span> ~97% Tibetan \u00b7 434,000 pop.<\/div>\n <\/div>\n <div class=\"prov-card-body\">\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Per capita GDP (2023)<\/span><span class=\"prov-stat-value low\">\u00a518,231<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Rural income (est. 2023)<\/span><span class=\"prov-stat-value low\">~\u00a59,500<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Urbanisation (2023)<\/span><span class=\"prov-stat-value mid\">52.8%<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Primary sector % GDP<\/span><span class=\"prov-stat-value low\">59.2%<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">GDP growth (2023)<\/span><span class=\"prov-stat-value ok\">+6.9%<\/span><\/div>\n <div class=\"prov-gdp-bar\">\n <div class=\"prov-gdp-label\">Per capita vs national (\u00a589,358)<\/div>\n <div class=\"prov-gdp-track\"><div class=\"prov-gdp-fill\" style=\"width:20%;background:var(--qh)\"><\/div><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n \n <div class=\"prov-card fade-up\">\n <div class=\"prov-card-accent\" style=\"background:var(--qh)\"><\/div>\n <div class=\"prov-card-top\">\n <div class=\"prov-card-name\">Golog \u679c\u6d1b<\/div>\n <div class=\"prov-card-sub\"><span class=\"td-flag flag-qh\">Qinghai<\/span> ~97% Tibetan \u00b7 222,000 pop.<\/div>\n <\/div>\n <div class=\"prov-card-body\">\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Per capita GDP (2023)<\/span><span class=\"prov-stat-value low\">\u00a530,406<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Rural income (2023)<\/span><span class=\"prov-stat-value low\">\u00a512,404<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Urban income (2023)<\/span><span class=\"prov-stat-value mid\">\u00a544,365<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Rural min. guarantee<\/span><span class=\"prov-stat-value low\">26,394 persons<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">GDP growth (2023)<\/span><span class=\"prov-stat-value mid\">+3.8%<\/span><\/div>\n <div class=\"prov-gdp-bar\">\n <div class=\"prov-gdp-label\">Per capita vs national<\/div>\n <div class=\"prov-gdp-track\"><div class=\"prov-gdp-fill\" style=\"width:34%;background:var(--qh)\"><\/div><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n \n <div class=\"prov-card fade-up\">\n <div class=\"prov-card-accent\" style=\"background:var(--qh)\"><\/div>\n <div class=\"prov-card-top\">\n <div class=\"prov-card-name\">Huangnan \u9ec4\u5357<\/div>\n <div class=\"prov-card-sub\"><span class=\"td-flag flag-qh\">Qinghai<\/span> ~75% Tibetan \u00b7 ~280,000 pop.<\/div>\n <\/div>\n <div class=\"prov-card-body\">\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">GDP (2022)<\/span><span class=\"prov-stat-value mid\">\u00a5110.89B<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Rural income (est. 2023)<\/span><span class=\"prov-stat-value low\">~\u00a511,500<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Urban income (est. 2023)<\/span><span class=\"prov-stat-value mid\">~\u00a538,000<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Urbanisation<\/span><span class=\"prov-stat-value low\">~37%<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Industry share<\/span><span class=\"prov-stat-value mid\">~25%<\/span><\/div>\n <div class=\"prov-gdp-bar\">\n <div class=\"prov-gdp-label\">Per capita vs national (est.)<\/div>\n <div class=\"prov-gdp-track\"><div class=\"prov-gdp-fill\" style=\"width:39%;background:var(--qh)\"><\/div><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n \n <div class=\"prov-card fade-up\">\n <div class=\"prov-card-accent\" style=\"background:var(--sc)\"><\/div>\n <div class=\"prov-card-top\">\n <div class=\"prov-card-name\">Garz\u00ea \u7518\u5b5c<\/div>\n <div class=\"prov-card-sub\"><span class=\"td-flag flag-sc\">Sichuan<\/span> ~79% Tibetan \u00b7 1.1M pop.<\/div>\n <\/div>\n <div class=\"prov-card-body\">\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Per capita GDP (est. 2023)<\/span><span class=\"prov-stat-value mid\">~\u00a540,000<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Rural income (2023)<\/span><span class=\"prov-stat-value mid\">~\u00a517,600<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Urban income (2023)<\/span><span class=\"prov-stat-value mid\">~\u00a540,000<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Urbanisation (2023)<\/span><span class=\"prov-stat-value low\">32.9%<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Urban avg wage (2023)<\/span><span class=\"prov-stat-value ok\">\u00a5115,189<\/span><\/div>\n <div class=\"prov-gdp-bar\">\n <div class=\"prov-gdp-label\">Per capita vs national<\/div>\n <div class=\"prov-gdp-track\"><div class=\"prov-gdp-fill\" style=\"width:45%;background:var(--sc)\"><\/div><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n \n <div class=\"prov-card fade-up\">\n <div class=\"prov-card-accent\" style=\"background:var(--sc)\"><\/div>\n <div class=\"prov-card-top\">\n <div class=\"prov-card-name\">Aba \u963f\u575d (Ngawa)<\/div>\n <div class=\"prov-card-sub\"><span class=\"td-flag flag-sc\">Sichuan<\/span> ~55% Tibetan \u00b7 820,000 pop.<\/div>\n <\/div>\n <div class=\"prov-card-body\">\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Per capita GDP (2023)<\/span><span class=\"prov-stat-value mid\">\u00a561,067<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Rural income (2023, est.)<\/span><span class=\"prov-stat-value mid\">~\u00a516,800<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Rural low guarantee<\/span><span class=\"prov-stat-value low\">66,199 persons<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Urban low guarantee<\/span><span class=\"prov-stat-value mid\">9,452 persons<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">GDP growth (2023)<\/span><span class=\"prov-stat-value ok\">+6.8%<\/span><\/div>\n <div class=\"prov-gdp-bar\">\n <div class=\"prov-gdp-label\">Per capita vs national<\/div>\n <div class=\"prov-gdp-track\"><div class=\"prov-gdp-fill\" style=\"width:68%;background:var(--sc)\"><\/div><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n \n <div class=\"prov-card fade-up\">\n <div class=\"prov-card-accent\" style=\"background:var(--yn)\"><\/div>\n <div class=\"prov-card-top\">\n <div class=\"prov-card-name\">Diqing \u8fea\u5e86 (Shangri-La)<\/div>\n <div class=\"prov-card-sub\"><span class=\"td-flag flag-yn\">Yunnan<\/span> 36% Tibetan \u00b7 395,000 pop.<\/div>\n <\/div>\n <div class=\"prov-card-body\">\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Per capita GDP (2023)<\/span><span class=\"prov-stat-value mid\">\u00a577,287<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Rural income (2023)<\/span><span class=\"prov-stat-value low\">\u00a513,447<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Urban income (2023)<\/span><span class=\"prov-stat-value ok\">\u00a545,610<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">GDP growth (2023)<\/span><span class=\"prov-stat-value low\">+0.6%<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Urbanisation<\/span><span class=\"prov-stat-value low\">~33%<\/span><\/div>\n <div class=\"prov-gdp-bar\">\n <div class=\"prov-gdp-label\">Per capita vs national<\/div>\n <div class=\"prov-gdp-track\"><div class=\"prov-gdp-fill\" style=\"width:86%;background:var(--yn)\"><\/div><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n \n <div class=\"prov-card fade-up\">\n <div class=\"prov-card-accent\" style=\"background:var(--gs)\"><\/div>\n <div class=\"prov-card-top\">\n <div class=\"prov-card-name\">Gannan \u7518\u5357 (Kanlho)<\/div>\n <div class=\"prov-card-sub\"><span class=\"td-flag flag-gs\">Gansu<\/span> ~55% Tibetan \u00b7 748,000 pop.<\/div>\n <\/div>\n <div class=\"prov-card-body\">\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Per capita GDP (2024)<\/span><span class=\"prov-stat-value mid\">\u00a538,425<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Rural income (2024)<\/span><span class=\"prov-stat-value low\">\u00a512,706<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Urban income (2024)<\/span><span class=\"prov-stat-value mid\">\u00a534,317<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">Rural Engel coefficient<\/span><span class=\"prov-stat-value low\">40.1%<\/span><\/div>\n <div class=\"prov-stat\"><span class=\"prov-stat-label\">GDP growth (2024)<\/span><span class=\"prov-stat-value ok\">+5.2%<\/span><\/div>\n <div class=\"prov-gdp-bar\">\n <div class=\"prov-gdp-label\">Per capita vs national<\/div>\n <div class=\"prov-gdp-track\"><div class=\"prov-gdp-fill\" style=\"width:43%;background:var(--gs)\"><\/div><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n \n <div class=\"prov-card fade-up\" style=\"background:var(--ink);\">\n <div class=\"prov-card-accent\" style=\"background:var(--amber)\"><\/div>\n <div class=\"prov-card-top\" style=\"background:var(--ink-soft);border-color:rgba(255,255,255,.1)\">\n <div class=\"prov-card-name\" style=\"color:#fff\">National Average<\/div>\n <div class=\"prov-card-sub\" style=\"color:rgba(255,255,255,.5)\">China 2023 Reference Benchmarks<\/div>\n <\/div>\n <div class=\"prov-card-body\">\n <div class=\"prov-stat\" style=\"border-color:rgba(255,255,255,.1)\"><span class=\"prov-stat-label\" style=\"color:rgba(255,255,255,.5)\">Per capita GDP (2023)<\/span><span class=\"prov-stat-value\" style=\"color:var(--amber)\">\u00a589,358<\/span><\/div>\n <div class=\"prov-stat\" style=\"border-color:rgba(255,255,255,.1)\"><span class=\"prov-stat-label\" style=\"color:rgba(255,255,255,.5)\">Rural income (2023)<\/span><span class=\"prov-stat-value\" style=\"color:var(--amber)\">\u00a521,691<\/span><\/div>\n <div class=\"prov-stat\" style=\"border-color:rgba(255,255,255,.1)\"><span class=\"prov-stat-label\" style=\"color:rgba(255,255,255,.5)\">Urban income (2023)<\/span><span class=\"prov-stat-value\" style=\"color:var(--amber)\">\u00a550,734<\/span><\/div>\n <div class=\"prov-stat\" style=\"border-color:rgba(255,255,255,.1)\"><span class=\"prov-stat-label\" style=\"color:rgba(255,255,255,.5)\">Urbanisation rate<\/span><span class=\"prov-stat-value\" style=\"color:var(--amber)\">66.2%<\/span><\/div>\n <div class=\"prov-stat\" style=\"border-bottom:none\"><span class=\"prov-stat-label\" style=\"color:rgba(255,255,255,.5)\">Primary sector % GDP<\/span><span class=\"prov-stat-value\" style=\"color:var(--amber)\">7.4%<\/span><\/div>\n <\/div>\n <\/div>\n <\/div>\n<\/section>\n\n\n<section class=\"section\">\n <div class=\"section-header\">\n <span class=\"section-num\">02<\/span>\n <h2 class=\"section-title\">Rural Income \u2014 The Deepest Structural Deficit<\/h2>\n <\/div>\n\n <div class=\"grid-chart-wide\">\n <div>\n <div class=\"card\">\n <div class=\"card-header\">\n <span class=\"card-title\">Rural Per Capita Disposable Income (CNY, 2023\u20132024)<\/span>\n <span style=\"font-size:11px;color:var(--ink-muted)\">vs National \u00a521,691<\/span>\n <\/div>\n <div class=\"card-body\">\n <div class=\"chart-wrap\" style=\"height:290px;\">\n <canvas id=\"ruralIncomeChart\"><\/canvas>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n\n <div>\n <div class=\"callout\">\n <div class=\"callout-label\">Subsistence-Adjacent Incomes<\/div>\n <p>Yushu’s estimated rural income of <strong>~\u00a59,500<\/strong> (2023) represents approximately <strong>44% of the national rural average<\/strong> and sits below international poverty thresholds when adjusted for purchasing power. Golog’s rural income of <strong>\u00a512,404<\/strong> is 57% of the national average. These are the lowest figures for any prefecture-level units in China.<\/p>\n <\/div>\n <div class=\"callout amber\" style=\"margin-top:16px;\">\n <div class=\"callout-label\">The Engel Coefficient Warning<\/div>\n <p>Gannan’s rural Engel coefficient is <strong>40.1%<\/strong> (2024) \u2014 meaning 40% of household income is spent on food. International standards classify 40\u201350% as “barely adequate.” A coefficient above 40% signals insufficient income for non-food expenditure, including healthcare, education, and housing.<\/p>\n <\/div>\n <div style=\"margin-top:20px;\">\n <div class=\"bar-section-label\">Rural income as % of national avg<\/div>\n <div class=\"bar-compare\">\n <div class=\"bar-row\"><div class=\"bar-label\" style=\"color:var(--qh);font-weight:700;\">Yushu \u7389\u6811<\/div><div class=\"bar-track\"><div class=\"bar-fill\" style=\"width:44%;background:var(--qh)\"><\/div><\/div><div class=\"bar-val\" style=\"color:var(--qh)\">44%<\/div><\/div>\n <div class=\"bar-row\"><div class=\"bar-label\" style=\"color:var(--qh);\">Golog \u679c\u6d1b<\/div><div class=\"bar-track\"><div class=\"bar-fill\" style=\"width:57%;background:var(--qh)\"><\/div><\/div><div class=\"bar-val\">57%<\/div><\/div>\n <div class=\"bar-row\"><div class=\"bar-label\" style=\"color:var(--gs);\">Gannan \u7518\u5357<\/div><div class=\"bar-track\"><div class=\"bar-fill\" style=\"width:59%;background:var(--gs)\"><\/div><\/div><div class=\"bar-val\">59%<\/div><\/div>\n <div class=\"bar-row\"><div class=\"bar-label\" style=\"color:var(--yn);\">Diqing \u8fea\u5e86<\/div><div class=\"bar-track\"><div class=\"bar-fill\" style=\"width:62%;background:var(--yn)\"><\/div><\/div><div class=\"bar-val\">62%<\/div><\/div>\n <div class=\"bar-row\"><div class=\"bar-label\" style=\"color:var(--sc);\">Aba \u963f\u575d<\/div><div class=\"bar-track\"><div class=\"bar-fill\" style=\"width:77%;background:var(--sc)\"><\/div><\/div><div class=\"bar-val\">77%<\/div><\/div>\n <div class=\"bar-row\"><div class=\"bar-label\" style=\"color:var(--sc);\">Garz\u00ea \u7518\u5b5c<\/div><div class=\"bar-track\"><div class=\"bar-fill\" style=\"width:81%;background:var(--sc)\"><\/div><\/div><div class=\"bar-val\">81%<\/div><\/div>\n <div class=\"bar-row\"><div class=\"bar-label\" style=\"color:var(--amber);font-weight:700;\">National avg<\/div><div class=\"bar-track\"><div class=\"bar-fill\" style=\"width:100%;background:var(--amber)\"><\/div><\/div><div class=\"bar-val\" style=\"color:var(--amber)\">100%<\/div><\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n<\/section>\n\n\n<section class=\"section\">\n <div class=\"section-header\">\n <span class=\"section-num\">03<\/span>\n <h2 class=\"section-title\">Per Capita GDP \u2014 Extreme Concentration at the Bottom<\/h2>\n <\/div>\n\n <div class=\"grid-2\">\n <div class=\"card\">\n <div class=\"card-header\">\n <span class=\"card-title\">Per Capita GDP by Prefecture (CNY, 2023)<\/span>\n <\/div>\n <div class=\"card-body\">\n <div class=\"chart-wrap\" style=\"height:280px;\">\n <canvas id=\"gdpChart\"><\/canvas>\n <\/div>\n <\/div>\n <\/div>\n <div>\n <div class=\"callout\">\n <div class=\"callout-label\">Yushu: Lowest Prefecture-Level GDP in China<\/div>\n <p>At approximately <strong>\u00a518,231 per capita<\/strong> (2023), Yushu is not merely the lowest-income Tibetan prefecture \u2014 it is, according to multiple provincial analyses citing official data, the <strong>lowest per capita GDP among all prefecture-level units in the entire country<\/strong>. A 2022 analysis in Guancha noted that Yushu and Golog together were the only prefecture-level units in China with per capita GDP below USD 5,000. The 2023 figures have not materially altered this ranking.<\/p>\n <\/div>\n <div style=\"margin-top:20px;\">\n <table class=\"data-table\">\n <thead>\n <tr><th>Prefecture<\/th><th>Per Capita GDP<\/th><th>% of National<\/th><th>Province<\/th><\/tr>\n <\/thead>\n <tbody>\n <tr><td>Yushu \u7389\u6811<\/td><td class=\"td-red\">\u00a518,231<\/td><td class=\"td-red\">20.4%<\/td><td><span class=\"td-flag flag-qh\">QH<\/span><\/td><\/tr>\n <tr><td>Golog \u679c\u6d1b<\/td><td class=\"td-red\">\u00a530,406<\/td><td class=\"td-red\">34.0%<\/td><td><span class=\"td-flag flag-qh\">QH<\/span><\/td><\/tr>\n <tr><td>Gannan \u7518\u5357<\/td><td class=\"td-red\">\u00a538,425<\/td><td class=\"td-amber\">43.0%<\/td><td><span class=\"td-flag flag-gs\">GS<\/span><\/td><\/tr>\n <tr><td>Garz\u00ea \u7518\u5b5c<\/td><td class=\"td-amber\">~\u00a540,000<\/td><td class=\"td-amber\">~44.8%<\/td><td><span class=\"td-flag flag-sc\">SC<\/span><\/td><\/tr>\n <tr><td>Aba \u963f\u575d<\/td><td class=\"td-amber\">\u00a561,067<\/td><td class=\"td-amber\">68.3%<\/td><td><span class=\"td-flag flag-sc\">SC<\/span><\/td><\/tr>\n <tr><td>Diqing \u8fea\u5e86<\/td><td>\u00a577,287<\/td><td>86.5%<\/td><td><span class=\"td-flag flag-yn\">YN<\/span><\/td><\/tr>\n <tr><td><strong>National avg<\/strong><\/td><td><strong>\u00a589,358<\/strong><\/td><td><strong>100%<\/strong><\/td><td>\u2014<\/td><\/tr>\n <\/tbody>\n <\/table>\n <\/div>\n <\/div>\n <\/div>\n<\/section>\n\n\n<section class=\"section\">\n <div class=\"section-header\">\n <span class=\"section-num\">04<\/span>\n <h2 class=\"section-title\">Economic Structure \u2014 Primary Sector Dominance<\/h2>\n <\/div>\n\n <div class=\"grid-2\">\n <div class=\"card\">\n <div class=\"card-header\">\n <span class=\"card-title\">Primary Sector as % of GDP \u2014 Selected Prefectures vs National<\/span>\n <\/div>\n <div class=\"card-body\">\n <div class=\"chart-wrap\" style=\"height:260px;\">\n <canvas id=\"sectorChart\"><\/canvas>\n <\/div>\n <\/div>\n <\/div>\n\n <div>\n <div class=\"callout\">\n <div class=\"callout-label\">What Primary Sector Dominance Means<\/div>\n <p>Yushu’s GDP is <strong>59.2% primary sector<\/strong> \u2014 meaning its economy is dominated by herding and agriculture, with only 12.3% in secondary industry (almost all construction) and 28.5% in services. This is not just an indicator of poverty: it is a structural indicator of the <strong>absence of the economic activities<\/strong> \u2014 manufacturing, skilled services, finance, technology \u2014 that generate compounding productivity growth, formal employment, and tax revenue. The national primary sector share is 7.4%.<\/p>\n <\/div>\n <div style=\"margin-top:20px;\">\n <table class=\"data-table\">\n <thead>\n <tr><th>Prefecture<\/th><th>Primary %<\/th><th>Secondary %<\/th><th>Tertiary %<\/th><\/tr>\n <\/thead>\n <tbody>\n <tr><td>Yushu \u7389\u6811<\/td><td class=\"td-red\">59.2%<\/td><td>12.3%<\/td><td>28.5%<\/td><\/tr>\n <tr><td>Aba \u963f\u575d<\/td><td class=\"td-amber\">19.6%<\/td><td>24.4%<\/td><td>56.0%<\/td><\/tr>\n <tr><td>Diqing \u8fea\u5e86<\/td><td>6.7%<\/td><td class=\"td-amber\">34.6%<\/td><td class=\"td-teal\">58.7%<\/td><\/tr>\n <tr><td>Gannan \u7518\u5357<\/td><td class=\"td-amber\">16.9%<\/td><td>17.0%<\/td><td class=\"td-teal\">66.1%<\/td><\/tr>\n <tr><td><strong>China national<\/strong><\/td><td><strong>7.4%<\/strong><\/td><td><strong>38.3%<\/strong><\/td><td><strong>54.3%<\/strong><\/td><\/tr>\n <\/tbody>\n <\/table>\n <\/div>\n <div class=\"callout amber\" style=\"margin-top:20px;\">\n <div class=\"callout-label\">Garz\u00ea: Wage Paradox<\/div>\n <p>Garz\u00ea’s non-private urban unit average annual wage was <strong>\u00a5120,885 in 2023<\/strong> \u2014 while rural per capita income was approximately \u00a517,600. This extreme intra-regional gap (nearly <strong>7:1<\/strong>) reflects the same dynamic documented in the TAR: high government-sector wages paid to non-Tibetan state employees coexisting with subsistence-level rural incomes.<\/p>\n <\/div>\n <\/div>\n <\/div>\n<\/section>\n\n\n<section class=\"section\">\n <div class=\"section-header\">\n <span class=\"section-num\">05<\/span>\n <h2 class=\"section-title\">Urbanisation \u2014 The Structural Exclusion from Growth<\/h2>\n <\/div>\n\n <div class=\"grid-chart-wide\">\n <div class=\"card\">\n <div class=\"card-header\">\n <span class=\"card-title\">Urbanisation Rate (%) \u2014 Tibetan Prefectures vs National<\/span>\n <\/div>\n <div class=\"card-body\">\n <div class=\"chart-wrap\" style=\"height:280px;\">\n <canvas id=\"urbanChart\"><\/canvas>\n <\/div>\n <\/div>\n <\/div>\n <div>\n <div class=\"callout\">\n <div class=\"callout-label\">Urban Economy, Rural Tibetan<\/div>\n <p>Every Tibetan autonomous prefecture in these four provinces has an urbanisation rate <strong>well below the national average of 66.2%<\/strong>. Most cluster between 32\u201353%. Since economic growth across China is concentrated in urban sectors \u2014 services, construction, trade, government \u2014 low urbanisation is itself a mechanism of exclusion from growth. Where GDP growth does occur in these prefectures, its beneficiaries are disproportionately the urban and government-employed population.<\/p>\n <\/div>\n <div style=\"margin-top:20px;\">\n <div class=\"bar-section-label\">Urbanisation rates (2023)<\/div>\n <div class=\"bar-compare\">\n <div class=\"bar-row\"><div class=\"bar-label\" style=\"color:var(--amber);font-weight:700;\">National avg<\/div><div class=\"bar-track\"><div class=\"bar-fill\" style=\"width:100%;background:var(--amber)\"><\/div><\/div><div class=\"bar-val\" style=\"color:var(--amber)\">66.2%<\/div><\/div>\n <div class=\"bar-row\"><div class=\"bar-label\" style=\"color:var(--qh);\">Yushu \u7389\u6811<\/div><div class=\"bar-track\"><div class=\"bar-fill\" style=\"width:80%;background:var(--qh)\"><\/div><\/div><div class=\"bar-val\">52.8%<\/div><\/div>\n <div class=\"bar-row\"><div class=\"bar-label\" style=\"color:var(--sc);\">Aba \u963f\u575d<\/div><div class=\"bar-track\"><div class=\"bar-fill\" style=\"width:61%;background:var(--sc)\"><\/div><\/div><div class=\"bar-val\">~40%<\/div><\/div>\n <div class=\"bar-row\"><div class=\"bar-label\" style=\"color:var(--qh);\">Huangnan \u9ec4\u5357<\/div><div class=\"bar-track\"><div class=\"bar-fill\" style=\"width:56%;background:var(--qh)\"><\/div><\/div><div class=\"bar-val\">~37%<\/div><\/div>\n <div class=\"bar-row\"><div class=\"bar-label\" style=\"color:var(--gs);\">Gannan \u7518\u5357<\/div><div class=\"bar-track\"><div class=\"bar-fill\" style=\"width:54%;background:var(--gs)\"><\/div><\/div><div class=\"bar-val\">~36%<\/div><\/div>\n <div class=\"bar-row\"><div class=\"bar-label\" style=\"color:var(--yn);\">Diqing \u8fea\u5e86<\/div><div class=\"bar-track\"><div class=\"bar-fill\" style=\"width:53%;background:var(--yn)\"><\/div><\/div><div class=\"bar-val\">~33%<\/div><\/div>\n <div class=\"bar-row\"><div class=\"bar-label\" style=\"color:var(--sc);font-weight:700;\">Garz\u00ea \u7518\u5b5c<\/div><div class=\"bar-track\"><div class=\"bar-fill\" style=\"width:50%;background:var(--sc)\"><\/div><\/div><div class=\"bar-val\">32.9%<\/div><\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n<\/section>\n\n\n<section class=\"section\">\n <div class=\"section-header\">\n <span class=\"section-num\">06<\/span>\n <h2 class=\"section-title\">Social Protection \u2014 The Scale of Residual Vulnerability<\/h2>\n <\/div>\n\n <div class=\"grid-2\">\n <div>\n <table class=\"data-table\">\n <thead>\n <tr><th>Prefecture<\/th><th>Rural Min. Guarantee<\/th><th>Urban Min. Guarantee<\/th><th>Total Supported<\/th><th>% of Pop.<\/th><\/tr>\n <\/thead>\n <tbody>\n <tr><td>Aba \u963f\u575d (SC)<\/td><td class=\"td-red\">66,199<\/td><td>9,452<\/td><td class=\"td-amber\">75,651<\/td><td class=\"td-red\">~9.2%<\/td><\/tr>\n <tr><td>Golog \u679c\u6d1b (QH)<\/td><td class=\"td-red\">26,394<\/td><td>6,179<\/td><td class=\"td-amber\">32,573<\/td><td class=\"td-red\">~14.7%<\/td><\/tr>\n <tr><td>Gannan \u7518\u5357 (GS)<\/td><td class=\"td-amber\">~30,000 est.<\/td><td>~8,000 est.<\/td><td>~38,000<\/td><td class=\"td-amber\">~5.1%<\/td><\/tr>\n <tr><td>TAR (for comparison)<\/td><td>144,548<\/td><td>23,126<\/td><td class=\"td-red\">167,674<\/td><td class=\"td-red\">~4.6%<\/td><\/tr>\n <tr><td><strong>China national avg<\/strong><\/td><td>358.2\u4e07 (Sichuan ex.)<\/td><td>51.4\u4e07<\/td><td>\u2014<\/td><td><strong>~3.0%<\/strong><\/td><\/tr>\n <\/tbody>\n <\/table>\n <div style=\"margin-top:16px;\" class=\"callout\">\n <div class=\"callout-label\">Golog’s Hidden Poverty Rate<\/div>\n <p>With <strong>26,394 rural residents<\/strong> on minimum living guarantees out of a total population of ~222,000, Golog has approximately <strong>11.9% of its total population<\/strong> on state subsistence support \u2014 more than four times the national proportion. This is consistent with the prefecture’s structural economic position as the second-poorest prefecture in China by per capita GDP.<\/p>\n <\/div>\n <\/div>\n\n <div>\n <div class=\"card\">\n <div class=\"card-header\">\n <span class=\"card-title\">Minimum Living Guarantee Recipients vs Population (2023)<\/span>\n <\/div>\n <div class=\"card-body\">\n <div class=\"chart-wrap\" style=\"height:260px;\">\n <canvas id=\"welfareChart\"><\/canvas>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n<\/section>\n\n\n<section class=\"section\">\n <div class=\"section-header\">\n <span class=\"section-num\">07<\/span>\n <h2 class=\"section-title\">Full Comparative Indicator Table<\/h2>\n <\/div>\n\n <table class=\"data-table\" style=\"font-size:12px;\">\n <thead>\n <tr>\n <th>Prefecture<\/th>\n <th>Province<\/th>\n <th>Tibetan %<\/th>\n <th>Population<\/th>\n <th>Per Cap. GDP<\/th>\n <th>Rural Income<\/th>\n <th>Urban Income<\/th>\n <th>U\/R Ratio<\/th>\n <th>Urbanisation<\/th>\n <th>Primary %<\/th>\n <th>GDP Growth<\/th>\n <\/tr>\n <\/thead>\n <tbody>\n <tr><td>Yushu \u7389\u6811<\/td><td><span class=\"td-flag flag-qh\">QH<\/span><\/td><td class=\"td-red\">~97%<\/td><td>434,000<\/td><td class=\"td-red\">\u00a518,231<\/td><td class=\"td-red\">~\u00a59,500<\/td><td>~\u00a532,000<\/td><td class=\"td-red\">~3.4:1<\/td><td class=\"td-amber\">52.8%<\/td><td class=\"td-red\">59.2%<\/td><td>+6.9%<\/td><\/tr>\n <tr><td>Golog \u679c\u6d1b<\/td><td><span class=\"td-flag flag-qh\">QH<\/span><\/td><td class=\"td-red\">~97%<\/td><td>222,000<\/td><td class=\"td-red\">\u00a530,406<\/td><td class=\"td-red\">\u00a512,404<\/td><td>\u00a544,365<\/td><td class=\"td-red\">3.58:1<\/td><td class=\"td-amber\">~40%<\/td><td class=\"td-amber\">~25%<\/td><td>+3.8%<\/td><\/tr>\n <tr><td>Huangnan \u9ec4\u5357<\/td><td><span class=\"td-flag flag-qh\">QH<\/span><\/td><td class=\"td-amber\">~75%<\/td><td>~280,000<\/td><td class=\"td-amber\">~\u00a535,000<\/td><td class=\"td-red\">~\u00a511,500<\/td><td>~\u00a538,000<\/td><td class=\"td-amber\">~3.3:1<\/td><td class=\"td-red\">~37%<\/td><td class=\"td-amber\">~29%<\/td><td>~+5%<\/td><\/tr>\n <tr><td>Garz\u00ea \u7518\u5b5c<\/td><td><span class=\"td-flag flag-sc\">SC<\/span><\/td><td class=\"td-amber\">~79%<\/td><td>1,106,000<\/td><td class=\"td-amber\">~\u00a540,000<\/td><td class=\"td-amber\">~\u00a517,600<\/td><td>~\u00a540,000<\/td><td class=\"td-amber\">2.27:1<\/td><td class=\"td-red\">32.9%<\/td><td class=\"td-amber\">~22%<\/td><td>~+6%<\/td><\/tr>\n <tr><td>Aba \u963f\u575d<\/td><td><span class=\"td-flag flag-sc\">SC<\/span><\/td><td>~55%<\/td><td>820,000<\/td><td class=\"td-amber\">\u00a561,067<\/td><td class=\"td-amber\">~\u00a516,800<\/td><td>~\u00a539,000<\/td><td class=\"td-amber\">~2.3:1<\/td><td class=\"td-amber\">~40%<\/td><td class=\"td-amber\">19.6%<\/td><td>+6.8%<\/td><\/tr>\n <tr><td>Diqing \u8fea\u5e86<\/td><td><span class=\"td-flag flag-yn\">YN<\/span><\/td><td>36.3%<\/td><td>395,000<\/td><td>\u00a577,287<\/td><td class=\"td-amber\">\u00a513,447<\/td><td class=\"td-teal\">\u00a545,610<\/td><td class=\"td-red\">3.39:1<\/td><td class=\"td-red\">~33%<\/td><td>6.7%<\/td><td class=\"td-red\">+0.6%<\/td><\/tr>\n <tr><td>Gannan \u7518\u5357<\/td><td><span class=\"td-flag flag-gs\">GS<\/span><\/td><td>~55%<\/td><td>748,000<\/td><td class=\"td-amber\">\u00a538,425<\/td><td class=\"td-red\">\u00a512,706<\/td><td class=\"td-amber\">\u00a534,317<\/td><td class=\"td-amber\">2.70:1<\/td><td class=\"td-red\">~36%<\/td><td class=\"td-amber\">16.9%<\/td><td>+5.2%<\/td><\/tr>\n <tr style=\"background:var(--paper-2);\"><td><strong>TAR (ref.)<\/strong><\/td><td>\u2014<\/td><td>86%<\/td><td>3,648,100<\/td><td>~\u00a565,000<\/td><td>\u00a519,924<\/td><td>\u00a551,900<\/td><td>2.60:1<\/td><td>38.9%<\/td><td>9.0%<\/td><td>+8.7%<\/td><\/tr>\n <tr style=\"background:var(--ink);color:#fff;\"><td style=\"color:#fff;font-weight:700;\">China National<\/td><td style=\"color:rgba(255,255,255,.5);\">\u2014<\/td><td style=\"color:rgba(255,255,255,.5);\">\u2014<\/td><td style=\"color:rgba(255,255,255,.5);\">1.41B<\/td><td style=\"color:var(--amber);font-family:'DM Mono',monospace;font-size:12px;\">\u00a589,358<\/td><td style=\"color:var(--amber);font-family:'DM Mono',monospace;font-size:12px;\">\u00a521,691<\/td><td style=\"color:var(--amber);font-family:'DM Mono',monospace;font-size:12px;\">\u00a550,734<\/td><td style=\"color:var(--amber);font-family:'DM Mono',monospace;font-size:12px;\">2.39:1<\/td><td style=\"color:var(--amber);font-family:'DM Mono',monospace;font-size:12px;\">66.2%<\/td><td style=\"color:var(--amber);font-family:'DM Mono',monospace;font-size:12px;\">7.4%<\/td><td style=\"color:rgba(255,255,255,.5);\">+5.2%<\/td><\/tr>\n <\/tbody>\n <\/table>\n<\/section>\n\n\n<section class=\"section\">\n <div class=\"section-header\">\n <span class=\"section-num\">08<\/span>\n <h2 class=\"section-title\">Cross-Regional Patterns of Concern<\/h2>\n <\/div>\n\n <div style=\"max-width:900px;margin-bottom:28px;font-size:14.5px;line-height:1.8;color:var(--ink-soft);\">\n The data across these seven prefectures, examined alongside the TAR’s indicators, reveal a coherent pattern that is not confined to any single province or jurisdiction. The structural characteristics of underdevelopment in Tibet’s Autonomous Region are replicated \u2014 and in some cases intensified \u2014 across the Tibetan inhabited areas of the four surrounding provinces.\n <\/div>\n\n <div class=\"concern-grid\">\n <div class=\"concern-cell\">\n <div class=\"concern-icon\">\ud83d\udcc9<\/div>\n <div class=\"concern-title\">Yushu: Last in China<\/div>\n <div class=\"concern-body\">At ~\u00a518,231 per capita GDP, Yushu is the lowest-ranked prefecture-level unit in all of China. Its 59.2% primary sector dependency and minimal industrial base confirm this is a structural condition, not a cyclical one. Growth rates have been positive but have not altered the ranking.<\/div>\n <\/div>\n <div class=\"concern-cell\">\n <div class=\"concern-icon\">\ud83d\udd34<\/div>\n <div class=\"concern-title\">Golog: 14.7% on State Support<\/div>\n <div class=\"concern-body\">Nearly 15% of Golog’s total population is enrolled in minimum living guarantees \u2014 the state’s subsistence safety net. At a per capita GDP of \u00a530,406, 34% of the national average, this prefecture’s economy cannot generate the income necessary to sustain its population without permanent state subsidy.<\/div>\n <\/div>\n <div class=\"concern-cell\">\n <div class=\"concern-icon\">\u26a0\ufe0f<\/div>\n <div class=\"concern-title\">Gannan: Food Insecurity Threshold<\/div>\n <div class=\"concern-body\">Gannan’s rural Engel coefficient of 40.1% sits at the international threshold that classifies food expenditure as occupying “barely adequate” share of household income. Below this level, households have insufficient income for education, healthcare, or emergency expenditure.<\/div>\n <\/div>\n <div class=\"concern-cell\">\n <div class=\"concern-icon\">\ud83c\udfd9\ufe0f<\/div>\n <div class=\"concern-title\">Universal Urbanisation Deficit<\/div>\n <div class=\"concern-body\">Every Tibetan prefecture across all four provinces shows urbanisation rates 14\u201333 percentage points below the national average. Since economic growth concentrates in urban areas, this structural gap systematically excludes the predominantly rural Tibetan population from participation in growth.<\/div>\n <\/div>\n <div class=\"concern-cell\">\n <div class=\"concern-icon\">\ud83d\udcbc<\/div>\n <div class=\"concern-title\">Garz\u00ea’s Internal Wage Paradox<\/div>\n <div class=\"concern-body\">Garz\u00ea’s non-private urban unit employees earned an average of \u00a5120,885 in 2023, while rural per capita income was ~\u00a517,600 \u2014 a ratio of nearly 7:1. These high urban wages accrue overwhelmingly to state sector and government employees, not to the rural Tibetan majority.<\/div>\n <\/div>\n <div class=\"concern-cell\">\n <div class=\"concern-icon\">\ud83d\udcca<\/div>\n <div class=\"concern-title\">The Pattern Holds Across Jurisdictions<\/div>\n <div class=\"concern-body\">The same structural pattern documented in the TAR \u2014 primary-sector dependency, low urbanisation, high social welfare dependency, extreme urban-rural income gaps, and fiscal transfer reliance \u2014 appears consistently across every Tibetan autonomous prefecture in every province examined.<\/div>\n <\/div>\n <\/div>\n\n <div style=\"margin-top:32px;\" class=\"callout amber\">\n <div class=\"callout-label\">A Critical Caveat on Diqing<\/div>\n <p>Diqing (Yunnan) shows a relatively higher per capita GDP of \u00a577,287, driven by hydropower and copper-gold mining revenues. However, its rural income of only <strong>\u00a513,447<\/strong> \u2014 despite this GDP figure \u2014 illustrates exactly the “enclave economy” dynamic described by Fischer: resource extraction generates GDP without distributing income to the local, predominantly rural Tibetan population. The urban-rural ratio of 3.39:1 in Diqing is also among the highest in this group, consistent with wealth concentration in the non-Tibetan urban sector. Additionally, only 36.3% of Diqing’s population is Tibetan, with Lisu (30.2%) and Naxi (12.5%) forming significant portions \u2014 so the “Tibetan prefecture” designation encompasses a much more ethnically heterogeneous population than the Qinghai cases.<\/p>\n <\/div>\n<\/section>\n<\/div>\n\n<footer class=\"page-footer\">\n <div class=\"container\">\n <p><strong>Canada Tibet Committee<\/strong> \u00b7 <a href=\"https:\/\/canadatibet.com\">canadatibet.com<\/a> \u00b7 Companion to the Tibet Autonomous Region Human Development Dashboard<\/p>\n <p style=\"margin-top:8px;\">Primary sources: Yushu TAP Statistical Communiqu\u00e9 2023 (Qinghai Provincial Bureau of Statistics, August 2024); Golog TAP Statistical Communiqu\u00e9 2023 (August 2024); Huangnan TAP Statistical Communiqu\u00e9 2022\u20132023; Garz\u00ea TAP Statistical Communiqu\u00e9 2022\u20132023 (Sichuan Statistical Bureau); Aba (Ngawa) TAP Statistical Communiqu\u00e9 2023 (April 2024); Diqing TAP Statistical Communiqu\u00e9s 2022\u20132023 (Yunnan Provincial Government, May 2023\u2013June 2024); Gannan TAP Statistical Communiqu\u00e9 2024 (Gansu Statistical Bureau, May 2025). National reference: NBS National Economic and Social Development Statistical Communiqu\u00e9 2023; Sichuan Provincial Statistical Communiqu\u00e9 2023.<\/p>\n <p style=\"margin-top:8px;\"><em>Note: Some values marked “est.” are interpolated from growth rates applied to prior-year confirmed data, or extrapolated from partial communiqu\u00e9 data. Yushu rural income figure is an estimate based on GDP composition and provincial comparators; the 2023 Yushu communiqu\u00e9 does not publish a standalone rural disposable income figure.<\/em><\/p>\n <\/div>\n<\/footer>\n\n<script>\nChart.defaults.font.family = \"'DM Sans', sans-serif\";\nChart.defaults.color = '#8292a0';\n\nconst C = {\n qh: '#c0392b', sc: '#2980b9', yn: '#27ae60', gs: '#8e44ad',\n nat: '#b8860b', natLight: 'rgba(184,134,11,.15)',\n red: '#c0392b', redL: 'rgba(192,57,43,.12)',\n teal: '#1a6b6b', tealL: 'rgba(26,107,107,.12)',\n};\n\n\/\/ 1. 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WELFARE CHART\nnew Chart(document.getElementById('welfareChart'), {\n type: 'bar',\n data: {\n labels: ['Golog', 'Aba', 'Gannan\\n(est.)', 'TAR\\n(ref.)'],\n datasets: [\n { label: 'Rural min. guarantee', data: [26394, 66199, 30000, 144548], backgroundColor: C.red, borderRadius: 2 },\n { label: 'Urban min. guarantee', data: [6179, 9452, 8000, 23126], backgroundColor: '#e8a8a8', borderRadius: 2 },\n ],\n },\n options: {\n responsive: true, maintainAspectRatio: false,\n plugins: { legend: { position: 'bottom', labels: { boxWidth: 10, padding: 14 } } },\n scales: {\n x: { stacked: true, grid: { display: false } },\n y: { stacked: true, ticks: { callback: v => v.toLocaleString() }, grid: { color: '#edeae4' } },\n },\n },\n});\n<\/script>\n<\/body>\n<\/html>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Tibetan Areas Beyond the TAR \u2014 Canada Tibet Committee Canada Tibet Committee Tibetan Areas Beyond the TAR \u00b7 Data Monitor 2023\u20132024 Companion Report Tibetan Autonomous PrefecturesOutside the TAR China’s Tibetan-inhabited regions extend far beyond the Tibet Autonomous Region into Qinghai, Sichuan, Yunnan, and Gansu provinces. This dashboard presents development data for seven major Tibetan autonomous […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"give_campaign_id":0,"nf_dc_page":"","footnotes":""},"class_list":["post-7084","page","type-page","status-publish","hentry"],"campaignId":"","_links":{"self":[{"href":"https:\/\/canadatibet.com\/fr\/wp-json\/wp\/v2\/pages\/7084","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/canadatibet.com\/fr\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/canadatibet.com\/fr\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/canadatibet.com\/fr\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/canadatibet.com\/fr\/wp-json\/wp\/v2\/comments?post=7084"}],"version-history":[{"count":4,"href":"https:\/\/canadatibet.com\/fr\/wp-json\/wp\/v2\/pages\/7084\/revisions"}],"predecessor-version":[{"id":7088,"href":"https:\/\/canadatibet.com\/fr\/wp-json\/wp\/v2\/pages\/7084\/revisions\/7088"}],"wp:attachment":[{"href":"https:\/\/canadatibet.com\/fr\/wp-json\/wp\/v2\/media?parent=7084"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}