{"id":7041,"date":"2026-05-17T00:56:27","date_gmt":"2026-05-17T00:56:27","guid":{"rendered":"https:\/\/canadatibet.com\/?page_id=7041"},"modified":"2026-05-17T02:53:14","modified_gmt":"2026-05-17T02:53:14","slug":"tibet-development-dashboard","status":"publish","type":"page","link":"https:\/\/canadatibet.com\/fr\/tibet-development-dashboard\/","title":{"rendered":"Tibet Development Dashboard"},"content":{"rendered":"\t\t
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\n\t\t\t\t\t\n\n\n\n\nTibet Human Development Dashboard \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: #f7f5f1;\n --paper-2: #edeae4;\n --red: #c0392b;\n --red-light: #e8cfc9;\n --gold: #b8860b;\n --gold-light:#f0e4b8;\n --teal: #1a6b6b;\n --teal-light:#c4dede;\n --rule: #d4cfc7;\n --white: #ffffff;\n}\n\n*, *::before, *::after { box-sizing: border-box; margin: 0; padding: 0; }\n\nhtml { scroll-behavior: smooth; }\n\nbody {\n font-family: 'DM Sans', sans-serif;\n background: var(--paper);\n color: var(--ink);\n font-size: 15px;\n line-height: 1.65;\n -webkit-font-smoothing: antialiased;\n}\n\n\/* \u2500\u2500 MASTHEAD \u2500\u2500 *\/\n.masthead {\n background: var(--ink);\n color: var(--white);\n padding: 0 40px;\n display: flex;\n align-items: center;\n justify-content: space-between;\n height: 60px;\n position: sticky;\n top: 0;\n z-index: 100;\n border-bottom: 3px solid var(--red);\n}\n.masthead-brand {\n font-family: 'DM Sans', sans-serif;\n font-weight: 600;\n font-size: 13px;\n letter-spacing: .12em;\n text-transform: uppercase;\n opacity: .85;\n}\n.masthead-brand a { color: inherit; 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}\n\n\/* \u2500\u2500 STRUCTURAL MATRIX \u2500\u2500 *\/\n.matrix {\n display: grid;\n grid-template-columns: 1fr 1fr;\n gap: 1px;\n background: var(--rule);\n border: 1px solid var(--rule);\n}\n.matrix-cell {\n background: var(--white);\n padding: 22px 24px;\n}\n.matrix-cell.header {\n background: var(--ink);\n color: var(--white);\n font-size: 11px;\n font-weight: 600;\n letter-spacing: .1em;\n text-transform: uppercase;\n display: flex;\n align-items: center;\n}\n.matrix-cell.header.red-bg { background: var(--red); }\n.matrix-icon { font-size: 24px; margin-bottom: 10px; }\n.matrix-title { font-size: 13px; font-weight: 600; color: var(--ink); margin-bottom: 6px; }\n.matrix-body { font-size: 12.5px; color: var(--ink-soft); line-height: 1.6; }\n\n\/* \u2500\u2500 FOOTER \u2500\u2500 *\/\n.page-footer {\n background: var(--ink);\n color: rgba(255,255,255,.5);\n padding: 40px;\n font-size: 12px;\n line-height: 1.7;\n}\n.page-footer a { color: rgba(255,255,255,.7); text-decoration: underline; }\n.page-footer strong { color: rgba(255,255,255,.85); }\n\n\/* \u2500\u2500 RESPONSIVE \u2500\u2500 *\/\n@media (max-width: 900px) {\n .grid-2, .grid-chart-text { grid-template-columns: 1fr; }\n .grid-3 { grid-template-columns: 1fr 1fr; }\n .hero { padding: 48px 24px 40px; }\n .container { padding: 0 24px; }\n .masthead { padding: 0 24px; }\n .bar-row { grid-template-columns: 120px 1fr 50px; }\n .matrix { grid-template-columns: 1fr; }\n}\n@media (max-width: 600px) {\n .grid-3 { grid-template-columns: 1fr; }\n .kpi-strip { grid-template-columns: 1fr 1fr; }\n .hero h1 { font-size: 32px; }\n}\n\n\/* \u2500\u2500 ANIMATE \u2500\u2500 *\/\n@keyframes fadeUp {\n from { opacity: 0; transform: translateY(20px); }\n to { opacity: 1; transform: translateY(0); }\n}\n.fade-up { animation: fadeUp .6s ease forwards; }\n.fade-up:nth-child(2) { animation-delay: .08s; }\n.fade-up:nth-child(3) { animation-delay: .16s; }\n.fade-up:nth-child(4) { animation-delay: .24s; }\n.fade-up:nth-child(5) { animation-delay: .32s; }\n.fade-up:nth-child(6) { animation-delay: .40s; }\n<\/style>\n<\/head>\n<body>\n\n<!-- MASTHEAD -->\n<header class=\"masthead\">\n <div class=\"masthead-brand\">\n <a href=\"https:\/\/canadatibet.com\">Canada Tibet Committee<\/a>\n <\/div>\n <div class=\"masthead-tag\">Tibet Human Development Monitor \u00b7 2010\u20132025<\/div>\n<\/header>\n\n<!-- HERO -->\n<section class=\"hero\">\n <div class=\"hero-eyebrow\">Data Report<\/div>\n <h1>Development in Tibet<em>Told by China's Own Numbers<\/em><\/h1>\n <p class=\"hero-sub\">\n Beijing claims historic progress in Tibet. The data \u2014 drawn exclusively from\n Chinese official sources, national census bulletins, and government budget reports\n \u2014 tell a more complicated story. Tibet ranks last in China on every major\n human development indicator. After decades of massive state investment, the gap\n is not closing.\n <\/p>\n <div class=\"hero-meta\">\n <div class=\"hero-meta-item\">\n <span class=\"hero-meta-label\">Primary Sources<\/span>\n <span class=\"hero-meta-value\">PRC Official Statistics<\/span>\n <\/div>\n <div class=\"hero-meta-item\">\n <span class=\"hero-meta-label\">Period Covered<\/span>\n <span class=\"hero-meta-value\">2010 \u2013 2025<\/span>\n <\/div>\n <div class=\"hero-meta-item\">\n <span class=\"hero-meta-label\">Analytical Framework<\/span>\n <span class=\"hero-meta-value\">UNDP HDI Dimensions<\/span>\n <\/div>\n <div class=\"hero-meta-item\">\n <span class=\"hero-meta-label\">Province Ranking<\/span>\n <span class=\"hero-meta-value\">31st of 31 (Last)<\/span>\n <\/div>\n <\/div>\n<\/section>\n\n<!-- ALERT BANNER -->\n<div class=\"alert-banner\">\n \u26a0  <strong>Key Finding:<\/strong> Tibet is the only province in China where life expectancy remains below the global average of 73.7 years. It has ranked last in every census since 1990.\n<\/div>\n\n<!-- KPI STRIP -->\n<div class=\"kpi-strip\">\n <div class=\"kpi fade-up\">\n <div class=\"kpi-rank\">31st \/ Last<\/div>\n <div class=\"kpi-label\">Life Expectancy (2020)<\/div>\n <div class=\"kpi-value danger\">72.2<\/div>\n <div class=\"kpi-sub\">years  \u00b7  National avg: 77.9 yrs  \u00b7  Gap: \u22125.7 yrs<\/div>\n <\/div>\n <div class=\"kpi fade-up\">\n <div class=\"kpi-rank\">31st \/ Last<\/div>\n <div class=\"kpi-label\">Urban Illiteracy \u2014 Lhasa (2020)<\/div>\n <div class=\"kpi-value danger\">13.2%<\/div>\n <div class=\"kpi-sub\">National urban avg: 2.67%  \u00b7  Nearly 5\u00d7 higher<\/div>\n <\/div>\n <div class=\"kpi fade-up\">\n <div class=\"kpi-rank\">31st \/ Last<\/div>\n <div class=\"kpi-label\">Maternal Mortality (2023)<\/div>\n <div class=\"kpi-value warn\">38.6<\/div>\n <div class=\"kpi-sub\">per 100,000 births  \u00b7  National ~15  \u00b7  2.6\u00d7 higher<\/div>\n <\/div>\n <div class=\"kpi fade-up\">\n <div class=\"kpi-rank neutral\">~92%<\/div>\n <div class=\"kpi-label\">Central Transfers (2023)<\/div>\n <div class=\"kpi-value danger\">12:1<\/div>\n <div class=\"kpi-sub\">Expenditure-to-revenue ratio  \u00b7  \u00a5280.9B spent vs \u00a523.7B earned<\/div>\n <\/div>\n <div class=\"kpi fade-up\">\n <div class=\"kpi-rank good\">+100%<\/div>\n <div class=\"kpi-label\">University Attainment (2020)<\/div>\n <div class=\"kpi-value warn\">11,019<\/div>\n <div class=\"kpi-sub\">per 100,000  \u00b7  National avg: 15,467  \u00b7  Still 29th of 31<\/div>\n <\/div>\n <div class=\"kpi fade-up\">\n <div class=\"kpi-rank\">+81%<\/div>\n <div class=\"kpi-label\">Han Population Growth in TAR<\/div>\n <div class=\"kpi-value danger\">443K<\/div>\n <div class=\"kpi-sub\">Han residents in TAR (2020)  \u00b7  Tibetan growth: +15.5% same period<\/div>\n <\/div>\n<\/div>\n\n<!-- ===== SECTION 1: HEALTH ===== -->\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\">Health & Longevity<\/h2>\n <\/div>\n\n <div class=\"grid-chart-text\">\n <div>\n <div class=\"card\">\n <div class=\"card-header\">\n <span class=\"card-title\">Life Expectancy: TAR vs National Average<\/span>\n <span style=\"font-size:11px;color:var(--ink-muted)\">Census data 1990\u20132020<\/span>\n <\/div>\n <div class=\"card-body\">\n <div class=\"chart-wrap\">\n <canvas id=\"lifeExpChart\"><\/canvas>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <div>\n <div class=\"callout\">\n <div class=\"callout-label\">31st Place \u2014 Every Census Since 1990<\/div>\n <p>Tibet has ranked <strong>dead last<\/strong> among all 31 Chinese provinces in life expectancy across every national census: 1990, 2000, 2010, and 2020. The gap narrowed from 8.9 years in 1990 to 5.7 years in 2020. At this rate of convergence, Tibet would reach the national average around <strong>2070<\/strong>.<\/p>\n <\/div>\n <div class=\"callout gold\" style=\"margin-top:16px;\">\n <div class=\"callout-label\">Tibet is the global outlier<\/div>\n <p>Tibet is the <strong>only province in China<\/strong> where life expectancy (72.2 years in 2020) remains below the global average of 73.7 years. All other 30 provinces have exceeded this threshold.<\/p>\n <\/div>\n\n <div style=\"margin-top:24px;\">\n <div class=\"bar-compare\">\n <div style=\"font-size:10px;letter-spacing:.12em;text-transform:uppercase;color:var(--ink-muted);font-weight:600;margin-bottom:4px;\">Life expectancy 2020 (selected)<\/div>\n <div class=\"bar-row\">\n <div class=\"bar-label\">Shanghai<\/div>\n <div class=\"bar-track\"><div class=\"bar-fill top\" style=\"width:100%\"><\/div><\/div>\n <div class=\"bar-val\">82.6<\/div>\n <\/div>\n <div class=\"bar-row\">\n <div class=\"bar-label\">National Avg<\/div>\n <div class=\"bar-track\"><div class=\"bar-fill china\" style=\"width:85%\"><\/div><\/div>\n <div class=\"bar-val\">77.9<\/div>\n <\/div>\n <div class=\"bar-row\">\n <div class=\"bar-label\">Global Avg<\/div>\n <div class=\"bar-track\"><div class=\"bar-fill\" style=\"width:79%;background:var(--gold)\"><\/div><\/div>\n <div class=\"bar-val\">73.7<\/div>\n <\/div>\n <div class=\"bar-row\">\n <div class=\"bar-label\" style=\"color:var(--red);font-weight:700;\">Tibet (TAR)<\/div>\n <div class=\"bar-track\"><div class=\"bar-fill tibet\" style=\"width:72%\"><\/div><\/div>\n <div class=\"bar-val\" style=\"color:var(--red)\">72.2<\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n\n <div style=\"margin-top:28px;\" class=\"grid-2\">\n <div class=\"card\">\n <div class=\"card-header\">\n <span class=\"card-title\">Maternal Mortality Rate (per 100,000)<\/span>\n <\/div>\n <div class=\"card-body\">\n <div class=\"chart-wrap\" style=\"height:220px;\">\n <canvas id=\"mmrChart\"><\/canvas>\n <\/div>\n <\/div>\n <\/div>\n <div class=\"card\">\n <div class=\"card-header\">\n <span class=\"card-title\">Infant Mortality Rate (per 1,000 live births)<\/span>\n <\/div>\n <div class=\"card-body\">\n <div class=\"chart-wrap\" style=\"height:220px;\">\n <canvas id=\"imrChart\"><\/canvas>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n\n <div style=\"margin-top:20px;\">\n <table class=\"data-table\">\n <thead>\n <tr>\n <th>Health Indicator<\/th>\n <th>TAR Value<\/th>\n <th>Year<\/th>\n <th>National Avg<\/th>\n <th>TAR\/National Ratio<\/th>\n <th>TAR Rank<\/th>\n <\/tr>\n <\/thead>\n <tbody>\n <tr><td>Life expectancy at birth<\/td><td>72.19 yrs<\/td><td>2020<\/td><td>77.93 yrs<\/td><td>\u22125.74 yrs<\/td><td class=\"last-cell\">31st \/ Last<\/td><\/tr>\n <tr><td>Maternal mortality rate<\/td><td>38.63 \/ 100k<\/td><td>2023<\/td><td>~15 \/ 100k<\/td><td>~2.6\u00d7<\/td><td class=\"last-cell\">31st \/ Last<\/td><\/tr>\n <tr><td>Infant mortality rate<\/td><td>5.37\u2030<\/td><td>2023<\/td><td>~5.0\u2030<\/td><td>~1.1\u00d7<\/td><td class=\"warn-cell\">~30th<\/td><\/tr>\n <tr><td>Hospital delivery rate<\/td><td>99.15%<\/td><td>2023<\/td><td>~99%<\/td><td>Parity<\/td><td class=\"first-cell\">\u2014<\/td><\/tr>\n <tr><td>Physicians per 1,000<\/td><td>3.3<\/td><td>2024<\/td><td>~3.5<\/td><td>Near parity<\/td><td class=\"warn-cell\">~25th<\/td><\/tr>\n <\/tbody>\n <\/table>\n <\/div>\n<\/section>\n\n<!-- ===== SECTION 2: EDUCATION ===== -->\n<section class=\"section\">\n <div class=\"section-header\">\n <span class=\"section-num\">02<\/span>\n <h2 class=\"section-title\">Education & Knowledge<\/h2>\n <\/div>\n\n <div class=\"grid-chart-text\">\n <div>\n <div class=\"card\">\n <div class=\"card-header\">\n <span class=\"card-title\">University Attainment \u2014 per 100,000 people<\/span>\n <\/div>\n <div class=\"card-body\">\n <div class=\"chart-wrap\">\n <canvas id=\"uniChart\"><\/canvas>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <div>\n <div class=\"callout\">\n <div class=\"callout-label\">Running to Stand Still<\/div>\n <p>University attainment in the TAR <strong>doubled<\/strong> between 2010\u20132020, growing faster than the national average in percentage terms. Yet the <strong>absolute gap widened<\/strong>: from 3,423 per 100,000 below the national average to 4,448 below. The TAR moved from 29th to 29th.<\/p>\n <\/div>\n\n <div style=\"margin-top:24px;\">\n <table class=\"data-table\">\n <thead>\n <tr><th>Education Indicator<\/th><th>TAR<\/th><th>National<\/th><\/tr>\n <\/thead>\n <tbody>\n <tr><td>Lhasa illiteracy rate (2020)<\/td><td class=\"last-cell\">13.23%<\/td><td>2.67%<\/td><\/tr>\n <tr><td>Lhasa illiteracy rate (2010)<\/td><td class=\"last-cell\">16.70%<\/td><td>4.08%<\/td><\/tr>\n <tr><td>University per 100,000 (2020)<\/td><td class=\"warn-cell\">11,019<\/td><td>15,467<\/td><\/tr>\n <tr><td>University per 100,000 (2010)<\/td><td class=\"warn-cell\">5,507<\/td><td>8,930<\/td><\/tr>\n <tr><td>9-yr education consolidation (2022)<\/td><td class=\"first-cell\">97.73%<\/td><td>~95%<\/td><\/tr>\n <tr><td>Kindergarten gross enrolment (2022)<\/td><td class=\"warn-cell\">89.52%<\/td><td>~90%<\/td><\/tr>\n <\/tbody>\n <\/table>\n <\/div>\n <\/div>\n <\/div>\n\n <div style=\"margin-top:28px;\" class=\"callout\">\n <div class=\"callout-label\">The Linguistic Barrier<\/div>\n <p>The illiteracy rate in <strong>Lhasa<\/strong> \u2014 the most urbanised, most invested city in the TAR \u2014 was 13.23% in 2020, nearly <strong>five times<\/strong> the national average. The TAR's educational expansion is occurring alongside a shift to Mandarin-medium instruction that creates a structural mismatch between credentials and the language competency required to access formal employment, civil service positions, and professional careers. A student can complete nine years of schooling and still face systematic barriers in the Mandarin-medium job market.<\/p>\n <\/div>\n<\/section>\n\n<!-- ===== SECTION 3: INCOME & INEQUALITY ===== -->\n<section class=\"section\">\n <div class=\"section-header\">\n <span class=\"section-num\">03<\/span>\n <h2 class=\"section-title\">Income, Inequality & Poverty<\/h2>\n <\/div>\n\n <div class=\"grid-chart-text\">\n <div>\n <div class=\"card\">\n <div class=\"card-header\">\n <span class=\"card-title\">Urban vs Rural Per Capita Income (CNY)<\/span>\n <\/div>\n <div class=\"card-body\">\n <div class=\"chart-wrap\">\n <canvas id=\"incomeChart\"><\/canvas>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <div>\n <div class=\"callout gold\">\n <div class=\"callout-label\">Subsidies vs Productivity<\/div>\n <p>Tibet's rural income growth ranked <strong>1st nationally<\/strong> for approximately 18 consecutive years. But in 2023, transfer income (government subsidies) grew at <strong>14.0%<\/strong> while wage income grew at <strong>8.5%<\/strong>. Tibetan incomes are rising because Beijing is paying more subsidies \u2014 not because Tibetans are gaining productive economic positions.<\/p>\n <\/div>\n\n <div style=\"margin-top:24px;\">\n <table class=\"data-table\">\n <thead>\n <tr><th>Income Indicator<\/th><th>2023 Value<\/th><th>Trend<\/th><\/tr>\n <\/thead>\n <tbody>\n <tr><td>Urban per capita disposable income<\/td><td>\u00a551,900<\/td><td class=\"first-cell\">\u2191 +5.4%<\/td><\/tr>\n <tr><td>Rural per capita disposable income<\/td><td>\u00a519,924<\/td><td class=\"first-cell\">\u2191 +12.8%<\/td><\/tr>\n <tr><td>Urban\u2013rural income ratio<\/td><td>2.60 : 1<\/td><td class=\"warn-cell\">\u2193 Narrowing<\/td><\/tr>\n <tr><td>Rural transfer income growth<\/td><td>+14.0%<\/td><td class=\"warn-cell\">Subsidy-driven<\/td><\/tr>\n <tr><td>Rural wage income growth<\/td><td>+8.5%<\/td><td class=\"warn-cell\">Below transfer<\/td><\/tr>\n <tr><td>Rural minimum guarantee recipients<\/td><td>144,548<\/td><td class=\"last-cell\">\u2191 Rising<\/td><\/tr>\n <tr><td>Urban minimum guarantee recipients<\/td><td>23,126<\/td><td class=\"warn-cell\">Stable<\/td><\/tr>\n <\/tbody>\n <\/table>\n <\/div>\n <\/div>\n <\/div>\n\n <!-- Poverty timeline -->\n <div style=\"margin-top:40px;\" class=\"grid-2\">\n <div>\n <div style=\"font-size:12px;font-weight:600;letter-spacing:.1em;text-transform:uppercase;color:var(--ink-muted);margin-bottom:20px;\">Poverty elimination timeline<\/div>\n <div class=\"timeline\">\n <div class=\"timeline-item\">\n <div class=\"timeline-year\">2015<\/div>\n <div class=\"timeline-text\"><strong>25.32% poverty rate<\/strong> \u2014 all 74 counties designated national poverty counties. 590,000 registered poor.<\/div>\n <\/div>\n <div class=\"timeline-item\">\n <div class=\"timeline-year\">2019<\/div>\n <div class=\"timeline-text\"><strong>Absolute poverty declared eliminated.<\/strong> 628,000 lifted out of poverty. Per capita income of poor rose from \u00a51,499 to \u00a59,328.<\/div>\n <\/div>\n <div class=\"timeline-item\">\n <div class=\"timeline-year\">2023<\/div>\n <div class=\"timeline-text\"><strong>144,548 on rural minimum living guarantee.<\/strong> 23,126 on urban guarantee. Administrative reclassification, not structural exit from vulnerability.<\/div>\n <\/div>\n <div class=\"timeline-item\">\n <div class=\"timeline-year\">2024<\/div>\n <div class=\"timeline-text\"><strong>Former poor income +12.5%<\/strong> \u2014 growth continues but remains transfer-payment-dependent. Private investment fell 32.7% in 2022.<\/div>\n <\/div>\n <\/div>\n <\/div>\n <div>\n <div style=\"font-size:12px;font-weight:600;letter-spacing:.1em;text-transform:uppercase;color:var(--ink-muted);margin-bottom:20px;\">Urban\u2013Rural Income Ratio Comparison (2023)<\/div>\n <div class=\"bar-compare\">\n <div class=\"bar-row\">\n <div class=\"bar-label\">TAR 2001<\/div>\n <div class=\"bar-track\"><div class=\"bar-fill tibet\" style=\"width:100%\"><\/div><\/div>\n <div class=\"bar-val\" style=\"color:var(--red)\">5.5:1<\/div>\n <\/div>\n <div class=\"bar-row\">\n <div class=\"bar-label\">TAR 2015<\/div>\n <div class=\"bar-track\"><div class=\"bar-fill tibet\" style=\"width:56%\"><\/div><\/div>\n <div class=\"bar-val\">3.1:1<\/div>\n <\/div>\n <div class=\"bar-row\">\n <div class=\"bar-label\">TAR 2023<\/div>\n <div class=\"bar-track\"><div class=\"bar-fill tibet\" style=\"width:47%\"><\/div><\/div>\n <div class=\"bar-val\">2.6:1<\/div>\n <\/div>\n <div class=\"bar-row\">\n <div class=\"bar-label\">National 2023<\/div>\n <div class=\"bar-track\"><div class=\"bar-fill china\" style=\"width:44%\"><\/div><\/div>\n <div class=\"bar-val\">2.4:1<\/div>\n <\/div>\n <div class=\"bar-row\">\n <div class=\"bar-label\">Beijing 2023<\/div>\n <div class=\"bar-track\"><div class=\"bar-fill top\" style=\"width:28%\"><\/div><\/div>\n <div class=\"bar-val\">1.5:1<\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n<\/section>\n\n<!-- ===== SECTION 4: FISCAL ===== -->\n<section class=\"section\">\n <div class=\"section-header\">\n <span class=\"section-num\">04<\/span>\n <h2 class=\"section-title\">Fiscal Dependency & Economic Structure<\/h2>\n <\/div>\n\n <div class=\"grid-chart-text\">\n <div>\n <div class=\"card\">\n <div class=\"card-header\">\n <span class=\"card-title\">TAR Public Revenue vs Expenditure (billion CNY)<\/span>\n <\/div>\n <div class=\"card-body\">\n <div class=\"chart-wrap\">\n <canvas id=\"fiscalChart\"><\/canvas>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <div>\n <div class=\"callout\">\n <div class=\"callout-label\">The Indicator China Does Not Discuss<\/div>\n <p>In 2023, the TAR earned <strong>\u00a523.66 billion<\/strong> in public revenue and spent <strong>\u00a5280.91 billion<\/strong> \u2014 a ratio of nearly <strong>12:1<\/strong>. Central transfers covered approximately <strong>92% of all public expenditure<\/strong>. After two decades of double-digit GDP growth, this ratio has not meaningfully improved.<\/p>\n <\/div>\n\n <div style=\"margin-top:24px;\">\n <table class=\"data-table\">\n <thead>\n <tr><th>Year<\/th><th>Revenue (B\u00a5)<\/th><th>Expenditure (B\u00a5)<\/th><th>Transfer %<\/th><\/tr>\n <\/thead>\n <tbody>\n <tr><td>2010<\/td><td>~7.0<\/td><td>~74.0<\/td><td class=\"warn-cell\">~90%+<\/td><\/tr>\n <tr><td>2015<\/td><td>~12.0<\/td><td>~138.0<\/td><td class=\"warn-cell\">~91%<\/td><\/tr>\n <tr><td>2020<\/td><td>~20.0<\/td><td>~230.0<\/td><td class=\"warn-cell\">~91%<\/td><\/tr>\n <tr><td>2022<\/td><td>~22.0<\/td><td>~260.0<\/td><td class=\"warn-cell\">~91%<\/td><\/tr>\n <tr><td>2023<\/td><td>23.66<\/td><td>280.91<\/td><td class=\"last-cell\">~92%<\/td><\/tr>\n <\/tbody>\n <\/table>\n <\/div>\n\n <div style=\"margin-top:16px;\" class=\"callout gold\">\n <div class=\"callout-label\">For Comparison<\/div>\n <p>China's average provincial reliance on central transfers is approximately <strong>20\u201330%<\/strong> of public expenditure. The TAR's 92% is not a sign of generous investment \u2014 it is a sign of <strong>structural economic non-viability<\/strong> that two decades of rapid GDP growth has failed to address.<\/p>\n <\/div>\n <\/div>\n <\/div>\n<\/section>\n\n<!-- ===== SECTION 5: DEMOGRAPHICS ===== -->\n<section class=\"section\">\n <div class=\"section-header\">\n <span class=\"section-num\">05<\/span>\n <h2 class=\"section-title\">Demographic Shifts & Labour Market<\/h2>\n <\/div>\n\n <div class=\"grid-2\">\n <div class=\"card\">\n <div class=\"card-header\">\n <span class=\"card-title\">Population Growth in TAR: Tibetan vs Han (2010\u20132020)<\/span>\n <\/div>\n <div class=\"card-body\">\n <div class=\"chart-wrap\" style=\"height:240px;\">\n <canvas id=\"demoChart\"><\/canvas>\n <\/div>\n <\/div>\n <\/div>\n <div>\n <div class=\"callout\">\n <div class=\"callout-label\">The Demographic Scissors<\/div>\n <p>Between 2010 and 2020, the <strong>Han population in the TAR grew by 81%<\/strong> (from ~245,000 to 443,370) while the Tibetan population grew by only <strong>15.5%<\/strong>. This occurred during the decade of fastest urbanisation \u2014 when the urban share of the population rose 13 percentage points. The people filling the urbanising, formally employed economy are disproportionately non-Tibetan.<\/p>\n <\/div>\n <div style=\"margin-top:16px;\">\n <table class=\"data-table\">\n <thead>\n <tr><th>Demographic Indicator<\/th><th>2010<\/th><th>2020<\/th><th>Change<\/th><\/tr>\n <\/thead>\n <tbody>\n <tr><td>Han population in TAR<\/td><td>~245,000<\/td><td>443,370<\/td><td class=\"last-cell\">+81%<\/td><\/tr>\n <tr><td>Tibetan population in TAR<\/td><td>~2,716,000<\/td><td>~3,137,901<\/td><td class=\"warn-cell\">+15.5%<\/td><\/tr>\n <tr><td>Urban share of population<\/td><td>22.7%<\/td><td>35.7%<\/td><td class=\"first-cell\">+13 pts<\/td><\/tr>\n <tr><td>Total TAR population<\/td><td>~3,002,000<\/td><td>3,648,100<\/td><td class=\"warn-cell\">+21.5%<\/td><\/tr>\n <tr><td>Farmer\/herder employment transfers<\/td><td>\u2014<\/td><td>\u2014<\/td><td>~630\u2013693K\/yr<\/td><\/tr>\n <\/tbody>\n <\/table>\n <\/div>\n <\/div>\n <\/div>\n\n <div style=\"margin-top:28px;\" class=\"callout\">\n <div class=\"callout-label\">The Missing Data: No Ethnic Disaggregation in Economic Statistics<\/div>\n <p>Chinese official statistics track ethnicity in population census data \u2014 but <strong>never disaggregate employment, wages, enterprise ownership, or professional attainment by ethnicity<\/strong>. This absence is not neutral. It makes the structural marginalisation of Tibetans in their own modernising economy invisible in official accounts, while being structurally implied by the demographic data that is published. The 8th National Census (due ~2030) will be the decisive data point: if Han population growth again substantially outpaces Tibetan growth in the TAR's urbanising economy, the structural trajectory described here will be confirmed beyond reasonable doubt \u2014 using only China's own data.<\/p>\n <\/div>\n<\/section>\n\n<!-- ===== SECTION 6: HDI MATRIX ===== -->\n<section class=\"section\">\n <div class=\"section-header\">\n <span class=\"section-num\">06<\/span>\n <h2 class=\"section-title\">UNDP HDI Approximation \u2014 Tibet vs China<\/h2>\n <\/div>\n\n <div style=\"margin-bottom:24px;font-size:13.5px;color:var(--ink-soft);max-width:760px;line-height:1.7;\">\n The UNDP does not publish sub-national HDI scores for China. The following applies the standard three-dimension methodology \u2014 longevity, knowledge, and standard of living \u2014 to the data assembled in this report. All figures from Chinese official sources.\n <\/div>\n\n <table class=\"data-table\" style=\"margin-bottom:28px;\">\n <thead>\n <tr>\n <th>HDI Dimension<\/th>\n <th>Indicator<\/th>\n <th>TAR Value<\/th>\n <th>National Average<\/th>\n <th>TAR Rank<\/th>\n <th>Assessment<\/th>\n <\/tr>\n <\/thead>\n <tbody>\n <tr><td rowspan=\"2\" style=\"font-weight:700;color:var(--ink)\">Long & Healthy Life<\/td>\n <td>Life expectancy at birth<\/td><td>72.19 yrs (2020)<\/td><td>77.93 yrs<\/td><td class=\"last-cell\">31st \/ Last<\/td><td>Below global avg<\/td><\/tr>\n <tr><td>Maternal mortality rate<\/td><td>38.63\/100k (2023)<\/td><td>~15\/100k<\/td><td class=\"last-cell\">31st \/ Last<\/td><td>~2.6\u00d7 national<\/td><\/tr>\n <tr><td rowspan=\"2\" style=\"font-weight:700;color:var(--ink)\">Knowledge<\/td>\n <td>Adult illiteracy (Lhasa, 2020)<\/td><td>13.23%<\/td><td>2.67%<\/td><td class=\"last-cell\">31st \/ Last<\/td><td>5\u00d7 national rate<\/td><\/tr>\n <tr><td>University attainment \/ 100k<\/td><td>11,019 (2020)<\/td><td>15,467<\/td><td class=\"warn-cell\">~29th<\/td><td>Gap widening<\/td><\/tr>\n <tr><td rowspan=\"2\" style=\"font-weight:700;color:var(--ink)\">Standard of Living<\/td>\n <td>Urban per capita income<\/td><td>\u00a551,900 (2023)<\/td><td>\u00a549,283<\/td><td class=\"first-cell\">Top 5<\/td><td>Subsidy-inflated<\/td><\/tr>\n <tr><td>Urban\u2013rural income ratio<\/td><td>2.60:1 (2023)<\/td><td>~2.4:1<\/td><td class=\"warn-cell\">~27th<\/td><td>Transfer-driven<\/td><\/tr>\n <tr><td rowspan=\"2\" style=\"font-weight:700;color:var(--ink)\">Structural Inclusion<\/td>\n <td>Central transfers as % of expenditure<\/td><td>~92% (2023)<\/td><td>~20\u201330%<\/td><td class=\"last-cell\">Extreme outlier<\/td><td>No fiscal autonomy<\/td><\/tr>\n <tr><td>Han population growth 2010\u201320<\/td><td>+81%<\/td><td>~0% (net)<\/td><td class=\"last-cell\">Highest in China<\/td><td>Demographic shift<\/td><\/tr>\n <\/tbody>\n <\/table>\n\n <!-- Structural matrix -->\n <div class=\"matrix\">\n <div class=\"matrix-cell header\">China's Claim<\/div>\n <div class=\"matrix-cell header red-bg\">What the Data Show<\/div>\n <div class=\"matrix-cell\">\n <div class=\"matrix-title\">\ud83d\udcc8 GDP growth averaging 9\u201310% annually<\/div>\n <div class=\"matrix-body\">True \u2014 but driven entirely by central state subsidies and infrastructure investment flowing through non-Tibetan economic actors.<\/div>\n <\/div>\n <div class=\"matrix-cell\">\n <div class=\"matrix-title\">\ud83d\udd34 92% of public expenditure from Beijing<\/div>\n <div class=\"matrix-body\">After 20 years of growth, fiscal self-sufficiency has not improved. Local revenue covers less than 1 yuan in 12 of public spending.<\/div>\n <\/div>\n <div class=\"matrix-cell\">\n <div class=\"matrix-title\">\ud83d\udcc9 Poverty eliminated in 2019<\/div>\n <div class=\"matrix-body\">Formally accurate \u2014 628,000 lifted from registered poverty. But 167,674 remain on minimum living guarantees in 2023.<\/div>\n <\/div>\n <div class=\"matrix-cell\">\n <div class=\"matrix-title\">\ud83d\udd34 Income growth is subsidy-driven<\/div>\n <div class=\"matrix-body\">Transfer payments grew at 14% in 2023 vs 8.5% for wages. Rising incomes reflect increasing dependency, not productive empowerment.<\/div>\n <\/div>\n <div class=\"matrix-cell\">\n <div class=\"matrix-title\">\ud83c\udfe5 Historic health improvements<\/div>\n <div class=\"matrix-body\">Genuine \u2014 infant mortality fell 94% since 1990. Hospital delivery rate 99.15%. These are real achievements that cannot be dismissed.<\/div>\n <\/div>\n <div class=\"matrix-cell\">\n <div class=\"matrix-title\">\ud83d\udd34 Still last in every health indicator<\/div>\n <div class=\"matrix-body\">At the current rate of convergence in life expectancy, Tibet reaches the national average around 2070. MMR remains 2.6\u00d7 the national rate.<\/div>\n <\/div>\n <div class=\"matrix-cell\">\n <div class=\"matrix-title\">\ud83d\udcda Education access expanding rapidly<\/div>\n <div class=\"matrix-body\">True \u2014 school enrolment rising, university attainment doubled 2010\u20132020. Infrastructure investment is real.<\/div>\n <\/div>\n <div class=\"matrix-cell\">\n <div class=\"matrix-title\">\ud83d\udd34 Literacy gap not closing proportionally<\/div>\n <div class=\"matrix-body\">Lhasa illiteracy (13.23%) remains 5\u00d7 the national rate. Mandarin-medium instruction creates structural barriers for Tibetan-background students.<\/div>\n <\/div>\n <\/div>\n<\/section>\n\n<!-- ===== SECTION 7: CRITICAL ASSESSMENT ===== -->\n<section class=\"section\">\n <div class=\"section-header\">\n <span class=\"section-num\">07<\/span>\n <h2 class=\"section-title\">Critical Assessment: Growth Is Not Development<\/h2>\n <\/div>\n <div style=\"max-width:900px;\">\n <p style=\"font-size:16px;line-height:1.8;color:var(--ink-soft);margin-bottom:24px;\">\n The UNDP Human Development Report framework distinguishes explicitly between economic growth and human development. Growth is an increase in GDP. Development is the expansion of people's capabilities \u2014 their effective freedom to lead lives they have reason to value.\n <\/p>\n\n <div class=\"callout\" style=\"margin-bottom:20px;\">\n <div class=\"callout-label\">The Core Finding<\/div>\n <p>Tibet has improved on <strong>every indicator<\/strong>. Tibet also remains <strong>last or near last on every indicator<\/strong> across all 31 Chinese provinces. Both things are simultaneously true, and their co-existence across three decades of massive state investment is precisely what requires explanation.<\/p>\n <\/div>\n\n <div class=\"grid-3\" style=\"margin-top:28px;\">\n <div class=\"card\">\n <div class=\"card-body\">\n <div style=\"font-size:24px;margin-bottom:8px;\">\ud83d\udccc<\/div>\n <div style=\"font-weight:700;font-size:13.5px;margin-bottom:8px;color:var(--ink)\">Trajectory vs Structure<\/div>\n <div style=\"font-size:12.5px;color:var(--ink-soft);line-height:1.6;\">China's claim rests on trajectory \u2014 things are improving. The counter-argument rests on structure: improving toward what position? Who benefits? By what mechanism?<\/div>\n <\/div>\n <\/div>\n <div class=\"card\">\n <div class=\"card-body\">\n <div style=\"font-size:24px;margin-bottom:8px;\">\ud83d\udccc<\/div>\n <div style=\"font-weight:700;font-size:13.5px;margin-bottom:8px;color:var(--ink)\">The 2070 Problem<\/div>\n <div style=\"font-size:12.5px;color:var(--ink-soft);line-height:1.6;\">At the current rate of life expectancy convergence, Tibet reaches the Chinese national average around 2070. That is not a success story. That is a structural deprivation that expensive subsidies are slowly managing.<\/div>\n <\/div>\n <\/div>\n <div class=\"card\">\n <div class=\"card-body\">\n <div style=\"font-size:24px;margin-bottom:8px;\">\ud83d\udccc<\/div>\n <div style=\"font-weight:700;font-size:13.5px;margin-bottom:8px;color:var(--ink)\">Accepting the Evidence<\/div>\n <div style=\"font-size:12.5px;color:var(--ink-soft);line-height:1.6;\">This analysis does not dispute China's statistics. It accepts them entirely and demonstrates that those figures, placed in their proper comparative context, do not support the development claim.<\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n<\/section>\n<\/div><!-- \/container -->\n\n<!-- FOOTER -->\n<footer class=\"page-footer\">\n <div class=\"container\">\n <p><strong>Canada Tibet Committee (Canada Tibet)<\/strong>  \u00b7  <a href=\"https:\/\/canadatibet.com\">canadatibet.com<\/a><\/p>\n <p style=\"margin-top:8px;\">All data in this dashboard are drawn from official Chinese sources: TAR Statistical Bureau Communiqu\u00e9s 2019\u20132023; 7th National Population Census (2021); National Health Commission Statistics Yearbook 2023; China Population and Employment Statistical Yearbook 2024; TAR Government Budget Reports; State Council Information Office White Paper on Tibet Human Rights (2025). No data have been modified or disputed \u2014 only placed in comparative context.<\/p>\n <p style=\"margin-top:8px;\">Analytical framework: Fischer, A.M. \u2014 <em>The Disempowered Development of Tibet in China<\/em> (Lexington Books, 2013) and UNDP Human Development Report methodology.<\/p>\n <\/div>\n<\/footer>\n\n<script>\n\/\/ \u2500\u2500 SHARED CHART CONFIG \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\nChart.defaults.font.family = \"'DM Sans', sans-serif\";\nChart.defaults.color = '#8292a0';\n\nconst COLORS = {\n tibet: '#c0392b',\n tibetLight: 'rgba(192,57,43,.12)',\n china: '#1a6b6b',\n chinaLight: 'rgba(26,107,107,.12)',\n gold: '#b8860b',\n goldLight: 'rgba(184,134,11,.12)',\n};\n\n\/\/ \u2500\u2500 1. LIFE EXPECTANCY \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\nnew Chart(document.getElementById('lifeExpChart'), {\n type: 'line',\n data: {\n labels: ['1990', '2000', '2010', '2020'],\n datasets: [\n {\n label: 'Tibet (TAR)',\n data: [59.64, 64.37, 68.17, 72.19],\n borderColor: COLORS.tibet,\n backgroundColor: COLORS.tibetLight,\n borderWidth: 2.5,\n pointRadius: 5,\n pointBackgroundColor: COLORS.tibet,\n fill: false,\n tension: .4,\n },\n {\n label: 'National Average',\n data: [68.55, 71.40, 74.83, 77.93],\n borderColor: COLORS.china,\n backgroundColor: COLORS.chinaLight,\n borderWidth: 2.5,\n pointRadius: 5,\n pointBackgroundColor: COLORS.china,\n fill: false,\n tension: .4,\n },\n ],\n },\n options: {\n responsive: true, maintainAspectRatio: false,\n plugins: {\n legend: { position: 'bottom', labels: { boxWidth: 12, padding: 16 } },\n tooltip: { callbacks: { label: ctx => ` ${ctx.dataset.label}: ${ctx.parsed.y} yrs` } },\n },\n scales: {\n y: { min: 55, max: 82, ticks: { callback: v => v + ' yrs' }, grid: { color: '#edeae4' } },\n x: { grid: { display: false } },\n },\n animation: { duration: 1000, easing: 'easeInOutQuart' },\n },\n});\n\n\/\/ \u2500\u2500 2. MATERNAL MORTALITY \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\nnew Chart(document.getElementById('mmrChart'), {\n type: 'bar',\n data: {\n labels: ['1990', '2015', '2019', '2020', '2023'],\n datasets: [\n {\n label: 'Tibet',\n data: [1200, 100, 56.52, 50, 38.63],\n backgroundColor: COLORS.tibet,\n borderRadius: 2,\n },\n {\n label: 'National',\n data: [88.9, 20.1, 17.8, 16.9, 15],\n backgroundColor: COLORS.china,\n borderRadius: 2,\n },\n ],\n },\n options: {\n responsive: true, maintainAspectRatio: false,\n plugins: { legend: { position: 'bottom', labels: { boxWidth: 10, padding: 14 } } },\n scales: {\n y: { ticks: { callback: v => v }, grid: { color: '#edeae4' } },\n x: { grid: { display: false } },\n },\n },\n});\n\n\/\/ \u2500\u2500 3. INFANT MORTALITY \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\nnew Chart(document.getElementById('imrChart'), {\n type: 'line',\n data: {\n labels: ['1990', '2000', '2010', '2015', '2019', '2020', '2023'],\n datasets: [\n {\n label: 'Tibet (\u2030)',\n data: [95, 60, 22, 16.2, 11.59, 8.0, 5.37],\n borderColor: COLORS.tibet,\n backgroundColor: COLORS.tibetLight,\n borderWidth: 2.5,\n fill: true,\n tension: .4,\n pointRadius: 4,\n pointBackgroundColor: COLORS.tibet,\n },\n {\n label: 'National (\u2030)',\n data: [45.7, 32, 13.1, 8.1, 7.0, 5.4, 5.0],\n borderColor: COLORS.china,\n backgroundColor: COLORS.chinaLight,\n borderWidth: 2,\n fill: false,\n tension: .4,\n pointRadius: 3,\n pointBackgroundColor: COLORS.china,\n },\n ],\n },\n options: {\n responsive: true, maintainAspectRatio: false,\n plugins: { legend: { position: 'bottom', labels: { boxWidth: 10, padding: 14 } } },\n scales: {\n y: { ticks: { callback: v => v + '\u2030' }, grid: { color: '#edeae4' } },\n x: { grid: { display: false } },\n },\n },\n});\n\n\/\/ \u2500\u2500 4. UNIVERSITY ATTAINMENT \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\nnew Chart(document.getElementById('uniChart'), {\n type: 'bar',\n data: {\n labels: ['TAR 2010', 'National 2010', 'TAR 2020', 'National 2020'],\n datasets: [{\n label: 'Per 100,000 population',\n data: [5507, 8930, 11019, 15467],\n backgroundColor: [COLORS.tibet, COLORS.china, COLORS.tibet, COLORS.china],\n borderRadius: 2,\n }],\n },\n options: {\n responsive: true, maintainAspectRatio: false,\n plugins: {\n legend: { display: false },\n annotation: {},\n },\n scales: {\n y: { ticks: { callback: v => v.toLocaleString() }, grid: { color: '#edeae4' } },\n x: { grid: { display: false } },\n },\n },\n});\n\n\/\/ \u2500\u2500 5. INCOME CHART \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\nnew Chart(document.getElementById('incomeChart'), {\n type: 'line',\n data: {\n labels: ['2015', '2017', '2019', '2020', '2021', '2022', '2023'],\n datasets: [\n {\n label: 'Urban per capita (CNY)',\n data: [25457, 31002, 36941, 41156, 44608, 48753, 51900],\n borderColor: COLORS.china,\n backgroundColor: 'transparent',\n borderWidth: 2.5,\n tension: .4,\n pointRadius: 4,\n pointBackgroundColor: COLORS.china,\n },\n {\n label: 'Rural per capita (CNY)',\n data: [8244, 10330, 12951, 14598, 16196, 18209, 19924],\n borderColor: COLORS.tibet,\n backgroundColor: COLORS.tibetLight,\n borderWidth: 2.5,\n fill: true,\n tension: .4,\n pointRadius: 4,\n pointBackgroundColor: COLORS.tibet,\n },\n ],\n },\n options: {\n responsive: true, maintainAspectRatio: false,\n plugins: { legend: { position: 'bottom', labels: { boxWidth: 10, padding: 14 } } },\n scales: {\n y: { ticks: { callback: v => '\u00a5' + v.toLocaleString() }, grid: { color: '#edeae4' } },\n x: { grid: { display: false } },\n },\n },\n});\n\n\/\/ \u2500\u2500 6. FISCAL CHART \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\nnew Chart(document.getElementById('fiscalChart'), {\n type: 'bar',\n data: {\n labels: ['2010', '2015', '2020', '2022', '2023'],\n datasets: [\n {\n label: 'Expenditure (B\u00a5)',\n data: [74, 138, 230, 260, 280.91],\n backgroundColor: COLORS.tibet,\n borderRadius: 2,\n order: 2,\n },\n {\n label: 'Revenue (B\u00a5)',\n data: [7, 12, 20, 22, 23.66],\n backgroundColor: COLORS.china,\n borderRadius: 2,\n order: 1,\n },\n ],\n },\n options: {\n responsive: true, maintainAspectRatio: false,\n plugins: { legend: { position: 'bottom', labels: { boxWidth: 10, padding: 14 } } },\n scales: {\n y: { ticks: { callback: v => '\u00a5' + v + 'B' }, grid: { color: '#edeae4' } },\n x: { grid: { display: false } },\n },\n },\n});\n\n\/\/ \u2500\u2500 7. DEMOGRAPHICS CHART \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\nnew Chart(document.getElementById('demoChart'), {\n type: 'bar',\n data: {\n labels: ['Han in TAR', 'Tibetan in TAR'],\n datasets: [\n {\n label: '2010',\n data: [245000, 2716000],\n backgroundColor: 'rgba(26,107,107,.5)',\n borderRadius: 2,\n },\n {\n label: '2020',\n data: [443370, 3137901],\n backgroundColor: [COLORS.tibet, COLORS.china],\n borderRadius: 2,\n },\n ],\n },\n options: {\n responsive: true, maintainAspectRatio: false,\n plugins: {\n legend: { position: 'bottom', labels: { boxWidth: 10, padding: 14 } },\n tooltip: { callbacks: { label: ctx => ` ${ctx.dataset.label}: ${ctx.parsed.y.toLocaleString()}` } },\n },\n scales: {\n y: { ticks: { callback: v => (v\/1000000).toFixed(1) + 'M' }, grid: { color: '#edeae4' } },\n x: { grid: { display: false } },\n },\n },\n});\n<\/script>\n<\/body>\n<\/html>\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>Tibet Human Development Dashboard \u2014 Canada Tibet Committee Canada Tibet Committee Tibet Human Development Monitor \u00b7 2010\u20132025 Data Report Development in TibetTold by China’s Own Numbers Beijing claims historic progress in Tibet. The data \u2014 drawn exclusively from Chinese official sources, national census bulletins, and government budget reports \u2014 tell a more complicated story. Tibet […]<\/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-7041","page","type-page","status-publish","hentry"],"campaignId":"","_links":{"self":[{"href":"https:\/\/canadatibet.com\/fr\/wp-json\/wp\/v2\/pages\/7041","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=7041"}],"version-history":[{"count":5,"href":"https:\/\/canadatibet.com\/fr\/wp-json\/wp\/v2\/pages\/7041\/revisions"}],"predecessor-version":[{"id":7048,"href":"https:\/\/canadatibet.com\/fr\/wp-json\/wp\/v2\/pages\/7041\/revisions\/7048"}],"wp:attachment":[{"href":"https:\/\/canadatibet.com\/fr\/wp-json\/wp\/v2\/media?parent=7041"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}