{
  "meta": {
    "generated_at": "2026-10-24",
    "countries_57_count": 57,
    "xlsx_sheets_count": 26,
    "xlsx_8ind_count": 67
  },
  "methodology": {
    "zhihu_url": "https://www.zhihu.com/question/1909776036138288076/answer/2013999960962651702",
    "author": "鱼非鱼 (libertas.)",
    "title": "国民发展指数 (National Development Index, NDI) — 11大维度·21项细分指标综合评估体系",
    "pillars": [
      {
        "key": "income",
        "name": "国民收入",
        "en": "National Income",
        "weight_stated": 30,
        "weight_effective": 30,
        "icon": "💰",
        "color": "#2563eb",
        "desc": "采用 Numbeo 当地生活成本重估购买力平价（PPP），结合人均 GDP（反映宏观经济活动，10%）与人均可支配收入中位数（反映普通居民真实富裕程度，20%）。",
        "indicators": [
          {
            "key": "ppp_gdp_per_capita_usd",
            "name": "PPP 人均 GDP",
            "unit": "$",
            "weight": 10,
            "transform": "ln(x)",
            "formula": "人均GDP × (4234 / Numbeo月生活成本)"
          },
          {
            "key": "ppp_median_disposable_income_usd",
            "name": "PPP 可支配收入中位数",
            "unit": "$",
            "weight": 20,
            "transform": "ln(x)",
            "formula": "可支配收入中位数 × (4234 / Numbeo月生活成本)；缺失中位数国家按 均值 × (1 - (Gini/100)²) 推算"
          }
        ]
      },
      {
        "key": "cleanliness",
        "name": "清洁环境",
        "en": "Cleanliness & Environment",
        "weight_stated": 10,
        "weight_effective": 10,
        "icon": "🌿",
        "color": "#059669",
        "desc": "综合客观空气质量监测（PM2.5 年均浓度，2%）与 Numbeo 居民环境体验问卷（整洁与秩序 4%、垃圾管理 2%、水污染 2%，均为越低越好）。",
        "indicators": [
          {
            "key": "pm25_2022",
            "name": "PM2.5 年均浓度",
            "unit": "μg/m³",
            "weight": 2,
            "transform": "-ln(x)",
            "formula": "WHO / IQAir 2022 年均 PM2.5 浓度（越低越好）"
          },
          {
            "key": "numbeo_cleanliness",
            "name": "Numbeo 清洁&整齐不满度",
            "unit": "指数",
            "weight": 4,
            "transform": "-x",
            "formula": "Numbeo 城市环境整洁与秩序负面指数（越低越好）"
          },
          {
            "key": "numbeo_garbage",
            "name": "Numbeo 垃圾管理不满度",
            "unit": "指数",
            "weight": 2,
            "transform": "-x",
            "formula": "Numbeo 垃圾处理不满度指数（越低越好）"
          },
          {
            "key": "numbeo_water_pollution",
            "name": "Numbeo 水污染指数",
            "unit": "指数",
            "weight": 2,
            "transform": "-x",
            "formula": "Numbeo 水体污染感知指数（越低越好）"
          }
        ]
      },
      {
        "key": "transport",
        "name": "交通运输",
        "en": "Transportation",
        "weight_stated": 9,
        "weight_effective": 8,
        "icon": "🚄",
        "color": "#0891b2",
        "desc": "兼顾基础设施密度与实际客运利用度：铁路占 3.5%（人均铁路里程 1%、人均高铁里程 1%、人均铁路+地铁乘坐次数 1.5%），公路占 3%（人均高速公路里程），航空占 2.5%（人均航空客运量，国际航班折半计算）。",
        "indicators": [
          {
            "key": "rail_km_per_million",
            "name": "每百万人铁路里程",
            "unit": "km/百万人",
            "weight": 1.0,
            "transform": "ln(x)",
            "formula": "全国铁路营业里程 / 总人口(百万)，含高铁里程"
          },
          {
            "key": "hsr_km_per_million",
            "name": "每百万人高铁里程",
            "unit": "km/百万人",
            "weight": 1.0,
            "transform": "ln(x)",
            "formula": "高速铁路营业里程 / 总人口(百万)"
          },
          {
            "key": "rail_metro_rides_per_capita_2024",
            "name": "人均铁路+地铁乘坐次数",
            "unit": "次/人/年",
            "weight": 1.5,
            "transform": "ln(x)",
            "formula": "(国家铁路年客运量 + 城市地铁年客运量) / 总人口"
          },
          {
            "key": "highway_km_per_million",
            "name": "每百万人高速公路里程",
            "unit": "km/百万人",
            "weight": 3.0,
            "transform": "ln(x)",
            "formula": "高速公路总里程 / 总人口(百万)"
          },
          {
            "key": "air_rides_per_capita_2024",
            "name": "人均航空客运量",
            "unit": "次/人/年",
            "weight": 2.5,
            "transform": "ln(x)",
            "formula": "(国内航线客运量 + 0.5 × 国际航线客运量) / 总人口"
          }
        ]
      },
      {
        "key": "health",
        "name": "医疗卫生",
        "en": "Healthcare",
        "weight_stated": 8,
        "weight_effective": 8,
        "icon": "🏥",
        "color": "#e11d48",
        "desc": "使用世界银行 WDI 出生时预期人均寿命（2022）直接评估国民医疗保障与公共卫生水平。",
        "indicators": [
          {
            "key": "life_expectancy_2022",
            "name": "预期人均寿命",
            "unit": "岁",
            "weight": 8,
            "transform": "x (原值)",
            "formula": "WDI 出生时预期寿命，难以指数增长故采用原值线性折算"
          }
        ]
      },
      {
        "key": "education",
        "name": "教育水平",
        "en": "Education",
        "weight_stated": 8,
        "weight_effective": 8,
        "icon": "🎓",
        "color": "#7c3aed",
        "desc": "综合存量劳动力受教育程度（25岁以上人口平均受教育年限，5%）与年轻一代新增教育预期（按各年龄段入学率推算的预期受教育年限，3%）。",
        "indicators": [
          {
            "key": "mean_schooling_2022",
            "name": "平均受教育年限",
            "unit": "年",
            "weight": 5,
            "transform": "x (原值)",
            "formula": "UNDP / OWID 成年人口平均受教育年限（原值线性折算）"
          },
          {
            "key": "expected_schooling_2022",
            "name": "预期受教育年限",
            "unit": "年",
            "weight": 3,
            "transform": "x (原值)",
            "formula": "UNDP 适龄人口预期受教育年限（原值线性折算）"
          }
        ]
      },
      {
        "key": "safety",
        "name": "社会治安",
        "en": "Public Safety",
        "weight_stated": 8,
        "weight_effective": 8,
        "icon": "🛡️",
        "color": "#0d9488",
        "desc": "采用联合国毒品和犯罪问题办公室（UNODC）每十万人故意杀人案件发生率（取负对数）衡量社会安全程度。",
        "indicators": [
          {
            "key": "homicide_rate_2023",
            "name": "每10万人谋杀率",
            "unit": "人/10万人",
            "weight": 8,
            "transform": "-ln(x)",
            "formula": "Excel 原型公式: 10 - log₂(谋杀率)；NDI 公式: 8.737 - 0.861 × ln(谋杀率)"
          }
        ]
      },
      {
        "key": "consumption",
        "name": "居民消费",
        "en": "Consumption",
        "weight_stated": 8,
        "weight_effective": 7,
        "icon": "🛒",
        "color": "#d97706",
        "desc": "摆脱失真的恩格尔系数，从实物消费直接衡量：人均每日蛋白质摄入量（3%）、人均年用电量（3%）、每千人年汽车销量（2%）。",
        "indicators": [
          {
            "key": "protein_g_per_day_2023",
            "name": "人均每日蛋白质消费",
            "unit": "克/天",
            "weight": 3,
            "transform": "x (原值)",
            "formula": "FAO 每日人均蛋白质供应量（克/天，原值线性折算）"
          },
          {
            "key": "electricity_consumption_kwh_2023",
            "name": "人均年用电量",
            "unit": "kWh/人",
            "weight": 3,
            "transform": "ln(x)",
            "formula": "Excel 原型公式: 2 × log₂(人均MWh)"
          },
          {
            "key": "auto_sales_per_1000_2024",
            "name": "千人汽车销量",
            "unit": "辆/千人",
            "weight": 2,
            "transform": "ln(x)",
            "formula": "2024 年各国新车销量 / 总人口(千人)"
          }
        ]
      },
      {
        "key": "housing",
        "name": "居住条件",
        "en": "Housing",
        "weight_stated": 6,
        "weight_effective": 6,
        "icon": "🏠",
        "color": "#ea580c",
        "desc": "采用统一扣除公摊与墙体（中国按 20% 折算）后的人均住房实际使用面积（平方米/人）衡量居住品质。",
        "indicators": [
          {
            "key": "floor_area_per_capita_m2",
            "name": "人均住房使用面积",
            "unit": "m²/人",
            "weight": 6,
            "transform": "ln(x)",
            "formula": "Excel 原型公式: 4 × log₂(人均使用面积)；NDI 公式: -3.338 + 3.006 × ln(面积)"
          }
        ]
      },
      {
        "key": "production",
        "name": "工业生产",
        "en": "Production",
        "weight_stated": 5,
        "weight_effective": 5,
        "icon": "🏭",
        "color": "#4f46e5",
        "desc": "衡量现代工业与能源基础设施产出能力：人均年发电量（3%）与每千人年汽车产量（2%）。",
        "indicators": [
          {
            "key": "electricity_generation_kwh_2023",
            "name": "人均年发电量",
            "unit": "kWh/人",
            "weight": 3,
            "transform": "ln(x)",
            "formula": "全国年发电总量 / 总人口"
          },
          {
            "key": "auto_production_per_1000_2024",
            "name": "千人汽车产量",
            "unit": "辆/千人",
            "weight": 2,
            "transform": "ln(x)",
            "formula": "OICA 2024 汽车产量 / 总人口(千人)；Excel 公式: log₂(每万人产量)"
          }
        ]
      },
      {
        "key": "science",
        "name": "科学研究",
        "en": "Scientific Research",
        "weight_stated": 5,
        "weight_effective": 5,
        "icon": "🔬",
        "color": "#6366f1",
        "desc": "采用 Nature Index（自然指数）按人口折算的每百万人调整后份额（Share / 百万人口）衡量顶尖基础科研产出。",
        "indicators": [
          {
            "key": "nature_index_per_million_2025",
            "name": "人均 Nature Index",
            "unit": "Share/百万人",
            "weight": 5,
            "transform": "ln(x)",
            "formula": "Excel 公式: Share / 人口 × 10⁶，指数 = log₂(人均Share)"
          }
        ]
      },
      {
        "key": "culture",
        "name": "文化软实力",
        "en": "Culture & Soft Power",
        "weight_stated": 5,
        "weight_effective": 5,
        "icon": "🎬",
        "color": "#ec4899",
        "desc": "统计各国自主生产的文化内容产品（影视、音乐、游戏、出版、动漫等）在全球产生的总收入除以本国人口得到的人均文化内容产值（美元）。",
        "indicators": [
          {
            "key": "cultural_content_rev_per_capita_usd",
            "name": "人均内容产品全球收入",
            "unit": "$/人",
            "weight": 5,
            "transform": "ln(x)",
            "formula": "本国原创文化产品全球总营收($) / 总人口"
          }
        ]
      }
    ]
  },
  "zhihu_57": [
    {
      "rank": 1,
      "country_cn": "挪威",
      "country_en": "Norway",
      "iso3": "NOR",
      "flag": "🇳🇴",
      "region": "北欧",
      "continent": "欧洲",
      "tier": "发达国家",
      "tier_code": "T1",
      "tier_range": "8.9–9.7",
      "ndi": 9.67,
      "hdi": 0.966,
      "hdi_global_rank": 2,
      "hdi_rank_57": 2,
      "hdi_minus_ndi_rank": 1,
      "pillars": {
        "income": 10.0,
        "health": 9.55,
        "education": 9.95,
        "safety": 9.01,
        "housing": 8.71,
        "cleanliness": 9.97,
        "transport": 10.0,
        "consumption": 9.79,
        "production": 9.6,
        "science": 9.31,
        "culture": 8.76
      },
      "indicators": {
        "gdp_per_capita_usd": 96580,
        "median_disposable_income_usd": 31006,
        "numbeo_monthly_cost_usd": 5004,
        "ppp_gdp_per_capita_usd": 81702,
        "ppp_median_disposable_income_usd": 26230,
        "income_to_gdp_pct": 32,
        "life_expectancy_2022": 82.51,
        "expected_schooling_2022": 18.79,
        "mean_schooling_2022": 13.06,
        "homicide_rate_2023": 0.73,
        "floor_area_per_capita_m2": 55.0,
        "numbeo_garbage": 17.67,
        "numbeo_cleanliness": 24.83,
        "numbeo_water_pollution": 15.57,
        "pm25_2022": 4.88,
        "air_rides_per_capita_2024": 7.2,
        "highway_km_per_million": 195,
        "rail_metro_rides_per_capita_2024": 40.5,
        "rail_km_per_million": 773,
        "hsr_km_per_million": 30.9,
        "protein_g_per_day_2023": 125.5,
        "auto_sales_per_1000_2024": 23.0,
        "electricity_consumption_kwh_2023": 24580,
        "electricity_generation_kwh_2023": 28243,
        "auto_production_per_1000_2024": 0.0,
        "nature_index_per_million_2025": 42.94,
        "cultural_content_rev_per_capita_usd": 189.5
      },
      "pillar_ranks": {
        "income": 1,
        "health": 7,
        "education": 2,
        "safety": 10,
        "housing": 4,
        "cleanliness": 2,
        "transport": 1,
        "consumption": 5,
        "production": 4,
        "science": 10,
        "culture": 11
      },
      "indicator_ranks": {
        "gdp_per_capita_usd": 2,
        "median_disposable_income_usd": 2,
        "numbeo_monthly_cost_usd": 2,
        "ppp_gdp_per_capita_usd": 2,
        "ppp_median_disposable_income_usd": 3,
        "income_to_gdp_pct": 22,
        "life_expectancy_2022": 7,
        "expected_schooling_2022": 3,
        "mean_schooling_2022": 8,
        "homicide_rate_2023": 11,
        "floor_area_per_capita_m2": 4,
        "numbeo_garbage": 3,
        "numbeo_cleanliness": 5,
        "numbeo_water_pollution": 1,
        "pm25_2022": 3,
        "air_rides_per_capita_2024": 1,
        "highway_km_per_million": 9,
        "rail_metro_rides_per_capita_2024": 10,
        "rail_km_per_million": 7,
        "hsr_km_per_million": 6,
        "protein_g_per_day_2023": 4,
        "auto_sales_per_1000_2024": 16,
        "electricity_consumption_kwh_2023": 1,
        "electricity_generation_kwh_2023": 1,
        "auto_production_per_1000_2024": 36,
        "nature_index_per_million_2025": 10,
        "cultural_content_rev_per_capita_usd": 11
      }
    },
    {
      "rank": 2,
      "country_cn": "澳大利亚",
      "country_en": "Australia",
      "iso3": "AUS",
      "flag": "🇦🇺",
      "region": "大洋洲",
      "continent": "大洋洲",
      "tier": "发达国家",
      "tier_code": "T1",
      "tier_range": "8.9–9.7",
      "ndi": 9.57,
      "hdi": 0.946,
      "hdi_global_rank": 10,
      "hdi_rank_57": 5,
      "hdi_minus_ndi_rank": 3,
      "pillars": {
        "income": 9.89,
        "health": 9.62,
        "education": 9.67,
        "safety": 8.87,
        "housing": 10.0,
        "cleanliness": 9.51,
        "transport": 9.36,
        "consumption": 10.0,
        "production": 8.71,
        "science": 9.4,
        "culture": 8.87
      },
      "indicators": {
        "gdp_per_capita_usd": 69358,
        "median_disposable_income_usd": 23679,
        "numbeo_monthly_cost_usd": 3990,
        "ppp_gdp_per_capita_usd": 73598,
        "ppp_median_disposable_income_usd": 25126,
        "income_to_gdp_pct": 34,
        "life_expectancy_2022": 82.77,
        "expected_schooling_2022": 18.0,
        "mean_schooling_2022": 12.73,
        "homicide_rate_2023": 0.85,
        "floor_area_per_capita_m2": 84.5,
        "numbeo_garbage": 27.05,
        "numbeo_cleanliness": 31.06,
        "numbeo_water_pollution": 31.21,
        "pm25_2022": 4.5,
        "air_rides_per_capita_2024": 3.1,
        "highway_km_per_million": 64,
        "rail_metro_rides_per_capita_2024": 26.0,
        "rail_km_per_million": 1223,
        "hsr_km_per_million": 0.0,
        "protein_g_per_day_2023": 125.0,
        "auto_sales_per_1000_2024": 45.3,
        "electricity_consumption_kwh_2023": 9976,
        "electricity_generation_kwh_2023": 10158,
        "auto_production_per_1000_2024": 0.0,
        "nature_index_per_million_2025": 51.28,
        "cultural_content_rev_per_capita_usd": 220.6
      },
      "pillar_ranks": {
        "income": 4,
        "health": 4,
        "education": 7,
        "safety": 19,
        "housing": 1,
        "cleanliness": 6,
        "transport": 15,
        "consumption": 1,
        "production": 21,
        "science": 8,
        "culture": 7
      },
      "indicator_ranks": {
        "gdp_per_capita_usd": 5,
        "median_disposable_income_usd": 5,
        "numbeo_monthly_cost_usd": 8,
        "ppp_gdp_per_capita_usd": 5,
        "ppp_median_disposable_income_usd": 4,
        "income_to_gdp_pct": 15,
        "life_expectancy_2022": 4,
        "expected_schooling_2022": 4,
        "mean_schooling_2022": 12,
        "homicide_rate_2023": 19,
        "floor_area_per_capita_m2": 1,
        "numbeo_garbage": 9,
        "numbeo_cleanliness": 8,
        "numbeo_water_pollution": 11,
        "pm25_2022": 1,
        "air_rides_per_capita_2024": 7,
        "highway_km_per_million": 27,
        "rail_metro_rides_per_capita_2024": 19,
        "rail_km_per_million": 2,
        "hsr_km_per_million": 23,
        "protein_g_per_day_2023": 5,
        "auto_sales_per_1000_2024": 3,
        "electricity_consumption_kwh_2023": 8,
        "electricity_generation_kwh_2023": 8,
        "auto_production_per_1000_2024": 36,
        "nature_index_per_million_2025": 8,
        "cultural_content_rev_per_capita_usd": 7
      }
    },
    {
      "rank": 3,
      "country_cn": "瑞士",
      "country_en": "Switzerland",
      "iso3": "CHE",
      "flag": "🇨🇭",
      "region": "西欧",
      "continent": "欧洲",
      "tier": "发达国家",
      "tier_code": "T1",
      "tier_range": "8.9–9.7",
      "ndi": 9.51,
      "hdi": 0.967,
      "hdi_global_rank": 1,
      "hdi_rank_57": 1,
      "hdi_minus_ndi_rank": -2,
      "pillars": {
        "income": 9.8,
        "health": 9.87,
        "education": 9.75,
        "safety": 9.18,
        "housing": 8.21,
        "cleanliness": 9.74,
        "transport": 9.83,
        "consumption": 9.36,
        "production": 8.34,
        "science": 10.0,
        "culture": 8.8
      },
      "indicators": {
        "gdp_per_capita_usd": 118173,
        "median_disposable_income_usd": 34348,
        "numbeo_monthly_cost_usd": 6513,
        "ppp_gdp_per_capita_usd": 76813,
        "ppp_median_disposable_income_usd": 22327,
        "income_to_gdp_pct": 29,
        "life_expectancy_2022": 83.6,
        "expected_schooling_2022": 16.67,
        "mean_schooling_2022": 13.9,
        "homicide_rate_2023": 0.6,
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        "country_en": "Cuba",
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        "country_cn": "格鲁吉亚",
        "country_en": "Georgia",
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        "km_per_million": 423.729
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        "country_cn": "法国",
        "country_en": "France",
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        "country_cn": "德国",
        "country_en": "Germany",
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        "km_per_million": 402.901
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        "country_cn": "南非",
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        "country_cn": "丹麦",
        "country_en": "Denmark",
        "railway_km": 2610.0,
        "km_per_million": 345.662
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        "country_cn": "西班牙",
        "country_en": "Spain",
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        "km_per_million": 342.466
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        "country_cn": "智利",
        "country_en": "Chile",
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        "km_per_million": 341.18
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        "country_cn": "意大利",
        "country_en": "Italy",
        "railway_km": 24567.0,
        "km_per_million": 330.469
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        "country_cn": "北马其顿",
        "country_en": "North Macedonia",
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        "country_cn": "爱尔兰",
        "country_en": "Ireland",
        "railway_km": 2400.0,
        "km_per_million": 326.264
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        "country_cn": "摩尔多瓦",
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        "country_cn": "比利时",
        "country_en": "Belgium",
        "railway_km": 3607.0,
        "km_per_million": 318.471
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      {
        "rank": 51,
        "country_cn": "苏里南",
        "country_en": "Suriname",
        "railway_km": 166.0,
        "km_per_million": 316.156
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      {
        "rank": 52,
        "country_cn": "梵蒂冈",
        "country_en": "Vatican City",
        "railway_km": 0.3,
        "km_per_million": 300.03
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      {
        "rank": 53,
        "country_cn": "波黑",
        "country_en": "Bosnia and Herzegovina",
        "railway_km": 1018.0,
        "km_per_million": 290.276
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      {
        "rank": 54,
        "country_cn": "玻利维亚",
        "country_en": "Bolivia",
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        "km_per_million": 274.876
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        "rank": 55,
        "country_cn": "斯威士兰",
        "country_en": "Eswatini",
        "railway_km": 301.0,
        "km_per_million": 253.807
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      {
        "rank": 56,
        "country_cn": "列支敦士登",
        "country_en": "Liechtenstein",
        "railway_km": 9.0,
        "km_per_million": 248.942
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      {
        "rank": 57,
        "country_cn": "葡萄牙",
        "country_en": "Portugal",
        "railway_km": 2527.0,
        "km_per_million": 246.975
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      {
        "rank": 58,
        "country_cn": "亚美尼亚",
        "country_en": "Armenia",
        "railway_km": 703.0,
        "km_per_million": 239.923
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      {
        "rank": 59,
        "country_cn": "英国",
        "country_en": "United Kingdom",
        "railway_km": 16179.0,
        "km_per_million": 239.349
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      {
        "rank": 60,
        "country_cn": "津巴布韦",
        "country_en": "Zimbabwe",
        "railway_km": 3136.0,
        "km_per_million": 238.663
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      {
        "rank": 61,
        "country_cn": "圭亚那",
        "country_en": "Guyana",
        "railway_km": 127.0,
        "km_per_million": 238.265
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      {
        "rank": 62,
        "country_cn": "朝鲜",
        "country_en": "North Korea",
        "railway_km": 5735.0,
        "km_per_million": 217.628
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      {
        "rank": 63,
        "country_cn": "阿塞拜疆",
        "country_en": "Azerbaijan",
        "railway_km": 2944.0,
        "km_per_million": 214.316
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      {
        "rank": 64,
        "country_cn": "毛里塔尼亚",
        "country_en": "Mauritania",
        "railway_km": 728.0,
        "km_per_million": 210.393
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      {
        "rank": 65,
        "country_cn": "希腊",
        "country_en": "Greece",
        "railway_km": 2240.0,
        "km_per_million": 207.987
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      {
        "rank": 66,
        "country_cn": "刚果（布）",
        "country_en": "Congo",
        "railway_km": 795.0,
        "km_per_million": 196.618
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      {
        "rank": 67,
        "country_cn": "突尼斯",
        "country_en": "Tunisia",
        "railway_km": 2165.0,
        "km_per_million": 187.758
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      {
        "rank": 68,
        "country_cn": "日本",
        "country_en": "Japan",
        "railway_km": 27311.0,
        "km_per_million": 183.453
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      {
        "rank": 69,
        "country_cn": "荷兰",
        "country_en": "Netherlands",
        "railway_km": 3055.0,
        "km_per_million": 178.859
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      {
        "rank": 70,
        "country_cn": "苏丹",
        "country_en": "Sudan",
        "railway_km": 6084.0,
        "km_per_million": 177.305
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      {
        "rank": 71,
        "country_cn": "澳门",
        "country_en": "Macau",
        "railway_km": 13.0,
        "km_per_million": 161.29
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      {
        "rank": 72,
        "country_cn": "沙特阿拉伯",
        "country_en": "Saudi Arabia",
        "railway_km": 5590.0,
        "km_per_million": 159.898
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      {
        "rank": 73,
        "country_cn": "以色列",
        "country_en": "Israel",
        "railway_km": 1511.0,
        "km_per_million": 154.154
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      {
        "rank": 74,
        "country_cn": "莫桑比克",
        "country_en": "Mozambique",
        "railway_km": 3249.0,
        "km_per_million": 151.423
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      {
        "rank": 75,
        "country_cn": "墨西哥",
        "country_en": "Mexico",
        "railway_km": 23389.0,
        "km_per_million": 149.321
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      {
        "rank": 76,
        "country_cn": "伊朗",
        "country_en": "Iran",
        "railway_km": 16998.0,
        "km_per_million": 146.714
      },
      {
        "rank": 77,
        "country_cn": "安哥拉",
        "country_en": "Angola",
        "railway_km": 2761.0,
        "km_per_million": 144.697
      },
      {
        "rank": 78,
        "country_cn": "乌兹别克斯坦",
        "country_en": "Uzbekistan",
        "railway_km": 4669.0,
        "km_per_million": 143.493
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      {
        "rank": 79,
        "country_cn": "巴西",
        "country_en": "Brazil",
        "railway_km": 29817.0,
        "km_per_million": 138.408
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      {
        "rank": 80,
        "country_cn": "土耳其",
        "country_en": "Turkey",
        "railway_km": 13919.0,
        "km_per_million": 127.861
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      {
        "rank": 81,
        "country_cn": "利比里亚",
        "country_en": "Liberia",
        "railway_km": 490.0,
        "km_per_million": 122.684
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      {
        "rank": 82,
        "country_cn": "阿尔巴尼亚",
        "country_en": "Albania",
        "railway_km": 334.0,
        "km_per_million": 116.252
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      {
        "rank": 83,
        "country_cn": "中国",
        "country_en": "China",
        "railway_km": 159000.0,
        "km_per_million": 112.803
      },
      {
        "rank": 84,
        "country_cn": "阿尔及利亚",
        "country_en": "Algeria",
        "railway_km": 4560.0,
        "km_per_million": 110.363
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      {
        "rank": 85,
        "country_cn": "吉布提",
        "country_en": "Djibouti",
        "railway_km": 92.0,
        "km_per_million": 108.66
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      {
        "rank": 86,
        "country_cn": "巴拿马",
        "country_en": "Panama",
        "railway_km": 355.0,
        "km_per_million": 104.232
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      {
        "rank": 87,
        "country_cn": "牙买加",
        "country_en": "Jamaica",
        "railway_km": 65.0,
        "km_per_million": 100.523
      },
      {
        "rank": 88,
        "country_cn": "萨尔瓦多",
        "country_en": "El Salvador",
        "railway_km": 562.0,
        "km_per_million": 97.838
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      {
        "rank": 89,
        "country_cn": "赞比亚",
        "country_en": "Zambia",
        "railway_km": 1237.0,
        "km_per_million": 94.814
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      {
        "rank": 90,
        "country_cn": "多哥",
        "country_en": "Togo",
        "railway_km": 568.0,
        "km_per_million": 94.224
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      {
        "rank": 91,
        "country_cn": "韩国",
        "country_en": "South Korea",
        "railway_km": 4837.0,
        "km_per_million": 93.318
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      {
        "rank": 92,
        "country_cn": "叙利亚",
        "country_en": "Syria",
        "railway_km": 2750.0,
        "km_per_million": 90.269
      },
      {
        "rank": 93,
        "country_cn": "塔吉克斯坦",
        "country_en": "Tajikistan",
        "railway_km": 616.0,
        "km_per_million": 89.55
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      {
        "rank": 94,
        "country_cn": "贝宁",
        "country_en": "Benin",
        "railway_km": 758.0,
        "km_per_million": 86.348
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      {
        "rank": 95,
        "country_cn": "洪都拉斯",
        "country_en": "Honduras",
        "railway_km": 67.0,
        "km_per_million": 85.085
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      {
        "rank": 96,
        "country_cn": "几内亚",
        "country_en": "Guinea",
        "railway_km": 837.0,
        "km_per_million": 83.85
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      {
        "rank": 97,
        "country_cn": "缅甸",
        "country_en": "Myanmar",
        "railway_km": 11025.0,
        "km_per_million": 82.461
      },
      {
        "rank": 98,
        "country_cn": "阿拉伯联合酋长国",
        "country_en": "United Arab Emirates",
        "railway_km": 900.0,
        "km_per_million": 81.619
      },
      {
        "rank": 99,
        "country_cn": "吉尔吉斯斯坦",
        "country_en": "Kyrgyzstan",
        "railway_km": 417.0,
        "km_per_million": 74.372
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      {
        "rank": 100,
        "country_cn": "台湾",
        "country_en": "Taiwan",
        "railway_km": 1782.0,
        "km_per_million": 73.325
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      {
        "rank": 101,
        "country_cn": "斯里兰卡",
        "country_en": "Sri Lanka",
        "railway_km": 1561.0,
        "km_per_million": 73.014
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      {
        "rank": 102,
        "country_cn": "埃及",
        "country_en": "Egypt",
        "railway_km": 7024.0,
        "km_per_million": 72.005
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      {
        "rank": 103,
        "country_cn": "秘鲁",
        "country_en": "Peru",
        "railway_km": 2020.0,
        "km_per_million": 68.564
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      {
        "rank": 104,
        "country_cn": "厄瓜多尔",
        "country_en": "Ecuador",
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        "km_per_million": 67.522
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      {
        "rank": 105,
        "country_cn": "马来西亚",
        "country_en": "Malaysia",
        "railway_km": 2041.0,
        "km_per_million": 65.007
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      {
        "rank": 106,
        "country_cn": "伊拉克",
        "country_en": "Iraq",
        "railway_km": 2032.0,
        "km_per_million": 64.156
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      {
        "rank": 107,
        "country_cn": "坦桑尼亚",
        "country_en": "Tanzania",
        "railway_km": 2600.0,
        "km_per_million": 63.028
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      {
        "rank": 108,
        "country_cn": "泰国",
        "country_en": "Thailand",
        "railway_km": 4845.0,
        "km_per_million": 62.174
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      {
        "rank": 109,
        "country_cn": "危地马拉",
        "country_en": "Guatemala",
        "railway_km": 1.6,
        "km_per_million": 61.622
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      {
        "rank": 110,
        "country_cn": "哥斯达黎加",
        "country_en": "Costa Rica",
        "railway_km": 278.0,
        "km_per_million": 60.916
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      {
        "rank": 111,
        "country_cn": "刚果（金）",
        "country_en": "DR Congo",
        "railway_km": 4096.0,
        "km_per_million": 60.742
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        "rank": 112,
        "country_cn": "塞内加尔",
        "country_en": "Senegal",
        "railway_km": 906.0,
        "km_per_million": 60.481
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        "rank": 113,
        "country_cn": "摩洛哥",
        "country_en": "Morocco",
        "railway_km": 2109.0,
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        "rank": 114,
        "country_cn": "厄立特里亚",
        "country_en": "Eritrea",
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        "rank": 115,
        "country_cn": "老挝",
        "country_en": "Laos",
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        "rank": 116,
        "country_cn": "肯尼亚",
        "country_en": "Kenya",
        "railway_km": 2541.0,
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        "rank": 117,
        "country_cn": "多米尼加共和国",
        "country_en": "Dominican Republic",
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        "rank": 118,
        "country_cn": "马拉维",
        "country_en": "Malawi",
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        "rank": 119,
        "country_cn": "摩纳哥",
        "country_en": "Monaco",
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        "rank": 120,
        "country_cn": "印度",
        "country_en": "India",
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        "country_en": "Mali",
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        "country_cn": "新加坡",
        "country_en": "Singapore",
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        "country_cn": "柬埔寨",
        "country_en": "Cambodia",
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        "rank": 125,
        "country_cn": "布基纳法索",
        "country_en": "Burkina Faso",
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        "rank": 126,
        "country_cn": "加纳",
        "country_en": "Ghana",
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        "km_per_million": 39.325
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        "rank": 127,
        "country_cn": "越南",
        "country_en": "Vietnam",
        "railway_km": 3315.0,
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        "rank": 128,
        "country_cn": "哥伦比亚",
        "country_en": "Colombia",
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        "rank": 129,
        "country_cn": "马达加斯加",
        "country_en": "Madagascar",
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        "country_cn": "文莱",
        "country_en": "Brunei",
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        "rank": 131,
        "country_cn": "科特迪瓦",
        "country_en": "Ivory Coast",
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        "country_cn": "巴基斯坦",
        "country_en": "Pakistan",
        "railway_km": 7791.0,
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        "rank": 133,
        "country_cn": "印尼",
        "country_en": "Indonesia",
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        "rank": 134,
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        "country_en": "Hong Kong",
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        "country_en": "Qatar",
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        "rank": 136,
        "country_cn": "波多黎各",
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        "country_en": "South Sudan",
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        "country_cn": "塞拉利昂",
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        "rank": 142,
        "country_cn": "委内瑞拉",
        "country_en": "Venezuela",
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        "country_en": "Niger",
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        "country_cn": "巴拉圭",
        "country_en": "Paraguay",
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        "country_cn": "菲律宾",
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        "country_cn": "阿富汗",
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        "rank": 149,
        "country_cn": "尼泊尔",
        "country_en": "Nepal",
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        "rank": 150,
        "country_cn": "莱索托",
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        "note": "另有数据 0.7291"
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