├── requirements.txt
├── img
    ├── bar.png
    ├── line.png
    ├── pie.png
    └── chart-bar.gif
├── Pipfile
├── example
    ├── example_bar.py
    ├── example_line.py
    ├── example_pie.py
    └── population_data.csv
├── config.py
├── README.md
├── test
    └── test_requests.py
├── utils.py
├── TimeSeriesAnimationChart.py
└── Pipfile.lock


/requirements.txt:
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1 | matplotlib==3.1.1
2 | pandas==0.25.1
3 | docopt==0.6.2


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/img/bar.png:
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https://raw.githubusercontent.com/heucoder/TimeSeriesAnimationChart/HEAD/img/bar.png


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/img/line.png:
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https://raw.githubusercontent.com/heucoder/TimeSeriesAnimationChart/HEAD/img/line.png


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/img/pie.png:
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https://raw.githubusercontent.com/heucoder/TimeSeriesAnimationChart/HEAD/img/pie.png


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/img/chart-bar.gif:
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https://raw.githubusercontent.com/heucoder/TimeSeriesAnimationChart/HEAD/img/chart-bar.gif


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/Pipfile:
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 1 | [[source]]
 2 | name = "pypi"
 3 | url = "https://pypi.org/simple"
 4 | verify_ssl = true
 5 | 
 6 | [dev-packages]
 7 | matplotlib = "*"
 8 | v = {editable = true,version = "*"}
 9 | 
10 | [packages]
11 | datasets = "*"
12 | pandas = "*"
13 | docopt = "*"
14 | 
15 | [requires]
16 | python_version = "3.6"
17 | 


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/example/example_bar.py:
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 1 | #coding=utf-8
 2 | import sys
 3 | sys.path.append('..')
 4 | 
 5 | from TimeSeriesAnimationChart import TimeSeriesAnimationChart
 6 | from utils import FileType2
 7 | 
 8 | def example_bar():
 9 |     path = 'population_data.csv'
10 |     datasets = FileType2.load_file(path)
11 |     b = TimeSeriesAnimationChart(datasets, 'val', 'year', 'country')
12 |     b.animation(chart_type = 'bar', title = '各国人口数目')
13 | 
14 | if __name__ == "__main__":
15 |     example_bar()


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/example/example_line.py:
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 1 | import sys
 2 | sys.path.append('..')
 3 | 
 4 | from TimeSeriesAnimationChart import TimeSeriesAnimationChart
 5 | from utils import FileType2
 6 | 
 7 | def example_line():
 8 |     path = 'population_data.csv'
 9 |     datasets = FileType2.load_file(path)
10 |     selected = ['中国', '美国', '印度']
11 |     b = TimeSeriesAnimationChart(datasets, 'val', 'year', 'country')
12 |     b.animation(chart_type = 'line', title = '各国人口数目', selected=selected)
13 | 
14 | if __name__ == "__main__":
15 |     example_line()


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/example/example_pie.py:
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 1 | #coding=utf-8
 2 | import sys
 3 | sys.path.append('..')
 4 | 
 5 | from TimeSeriesAnimationChart import TimeSeriesAnimationChart
 6 | from utils import FileType2
 7 | 
 8 | def example_pie():
 9 |     path = 'population_data.csv'
10 |     datasets = FileType2.load_file(path)
11 |     selected = ['中国', '美国', '印度']
12 |     b = TimeSeriesAnimationChart(datasets, 'val', 'year', 'country')
13 |     b.animation(chart_type = 'pie', title = '各国人口比例', selected=selected)
14 | 
15 | if __name__ == "__main__":
16 |     example_pie()


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/config.py:
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 1 | #coding=utf-8
 2 | import pandas as pd
 3 | '''
 4 | change variables of Picture
 5 | '''
 6 | # colors 20
 7 | AllColors = ['#adb0ff', '#ffb3ff', '#90d595', '#e48381', '#00FF99','#00FFFF',
 8 |              '#00CC99', '#009933', '#FF99CC', '#0066FF', '#6666FF','#993333',
 9 |              '#660033', '#0000CC', '#9966CC', '#FF6600', '#990066','#FF0099',
10 |              '#FFCC00', '#FF9966']*10
11 | 
12 | # marker 20
13 | MARKERS = ['p', '>', 'o', '*']*30
14 | 
15 | # FONT
16 | FONT_PATH = '/usr/share/fonts/truetype/wqy/wqy-microhei.ttc'
17 | 
18 | # display_num
19 | # DISPLAY_NUM = 10
20 | # MAX_DISPLAY_NUM = 20
21 | 


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/README.md:
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 1 | # TimeSeriesAnimationChart
 2 | ## 什么是TimeSeriesAnimationChart
 3 | - TimeSeriesAnimationChart是一个用于可视化时间序列数据的python工具，其可以用**动态的**柱形图、折线图、饼图三种方式直观生动的表示时间序列数据
 4 | 
 5 |   ![柱形图](/img/bar.png)
 6 | 
 7 |   ![折线图](/img/line.png)
 8 | 
 9 |   ![饼图](/img/pie.png)
10 | 
11 | - 支持json\xlsx\csv三种文件格式输入，动态图可以保存为gif格式
12 | 
13 | ## 使用环境
14 | - uubuntu18.04
15 | - python3
16 | 
17 | ## 如何使用
18 | 1. 安装
19 | 
20 |    进入pipfile所在目录下运行
21 | 
22 |    `pipenv install`(如果安装了pipenv模块)
23 | 
24 |    或者
25 | 
26 |    `pip install requirements.txt`
27 | 
28 | 2. 命令行使用
29 | 
30 |    - 命令行格式：
31 | 
32 |    `TimeSeriesAnimationChart.py (bar | line | pie) <file_path> <val> <time> <name> [--bar_display_num=<bar_display_num>] [--selected=<selectd>] [--title=<title>] [--save=<save>]` 
33 | 
34 |    - 例如：
35 | 
36 |    `python TimeSeriesAnimationChart.py bar example/population_data.csv val year country --save=true`
37 | 
38 |    ![动态的柱形图](/img/chart-bar.gif)
39 | 
40 |    - 见example文件夹
41 | 
42 | ## 仍需改进
43 | - 添加更多种类的图形
44 | - 可以保存为mp4格式


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/test/test_requests.py:
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 1 | 
 2 | import requests
 3 | from bs4 import BeautifulSoup
 4 | import time
 5 | import pandas as pd
 6 | # 40有坑
 7 | def parse_tr(tr, year):
 8 |     tds = tr.find_all('td')
 9 |     if len(tds) != 4: return None
10 |     country = tds[1].string
11 |     states = tds[2].string
12 |     val = tds[3].string
13 |     val = val.split('(')[-1].split(')')[0]
14 |     return (country, states, val, year)
15 | 
16 | years = range(1959, 2019)
17 | res = []
18 | for year in years:
19 |     item = []
20 |     print(year,'-'*50)
21 |     url = 'https://www.kuaiyilicai.com/stats/global/yearly/g_population_total/{}.html'.format(year)
22 |     response = requests.get(url = url)
23 |     if response.status_code != 200:
24 |         print(response.status_code)
25 |     text = response.text
26 |     soup = BeautifulSoup(text, 'xml')
27 |     tbody = soup.find_all('tbody')[0]
28 |     trs = tbody.find_all('tr')
29 |     # print("trs", len(trs))
30 |     for tr in trs[:39]:
31 |         res.append(parse_tr(tr,year))
32 |     time.sleep(1)
33 | 
34 | dataframe = pd.DataFrame(data = res, columns = ['country', 'states', 'val', 'year'])
35 | dataframe.to_csv('population_data.csv')
36 | # suceess
37 | # print(response.text)
38 | 


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/utils.py:
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 1 | #coding:utf-8
 2 | import pandas as pd
 3 | import logging
 4 | '''
 5 | support some funcs for AnimationBarChart
 6 | '''
 7 | 
 8 | class FileType2():
 9 |     # filetype to func
10 |     __FILETYPES = ['csv', 'json', 'xlsx']
11 |     __LOADFILEFUNCS = [pd.read_csv, pd.read_json, pd.read_excel]
12 |     __FILETYPES_2_FUNCS = dict(zip(__FILETYPES, __LOADFILEFUNCS))
13 | 
14 |     def __init__(self):
15 |         pass
16 |     
17 |     @classmethod
18 |     def bind(cls, filetype, loadfileFunc):
19 |         cls.__FILETYPES.append(filetype)
20 |         cls.__LOADFILEFUNCS.append(loadfileFunc)
21 |         cls.__FILETYPES_2_FUNCS[filetype] = loadfileFunc
22 | 
23 |     @classmethod
24 |     def get(cls, filetype):
25 |         return cls.__FILETYPES_2_FUNCS.get(filetype, None)
26 | 
27 |     @classmethod
28 |     def judge_file_type(cls, filepath):    
29 |         # assert
30 |         assert isinstance(filepath, str)
31 |         filetype = filepath.split(".")[-1]
32 |         if filetype not in cls.__FILETYPES:
33 |             return None
34 |         return filetype
35 |     
36 |     @classmethod
37 |     def load_file(cls, filepath, filetype = None, **kw):
38 |         if(filetype == None):
39 |             filetype = cls.judge_file_type(filepath)
40 |         if(filetype == None):
41 |             logging.error("filename error !")
42 |             return None
43 |         
44 |         # need fixed
45 |         loadfunc = cls.get(filetype)
46 |         datasets = loadfunc(filepath, **kw)
47 |         return datasets
48 |         
49 |     @classmethod
50 |     def load_test_datasets(cls):
51 |         data = [['beijing', 'china', 2016, 10], ['beijing', 'china', 2017, 12], ['beijing', 'china', 2018, 14], ['beijing', 'china', 2019, 19],
52 |                 ['shanghai', 'china', 2016, 8], ['shanghai', 'china', 2017, 16], ['shanghai', 'china', 2018, 32], ['shanghai', 'china', 2019, 36],
53 |                 ['tianjin', 'china', 2016, 5], ['tianjin', 'china', 2017, 10], ['tianjin', 'china', 2018, 15], ['tianjin', 'china', 2019, 20],
54 |                 ['guangzhou', 'china', 2016, 7], ['guangzhou', 'china', 2017, 12], ['guangzhou', 'china', 2018, 24], ['guangzhou', 'china', 2019, 30]]
55 |         datasets = pd.DataFrame(data = data,
56 |                                 columns = ['city', 'country', 'year', 'values'])
57 |         return datasets


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/TimeSeriesAnimationChart.py:
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  1 | #coding=utf-8
  2 | 
  3 | # plot animation
  4 | import matplotlib.pyplot as plt
  5 | import matplotlib.ticker as ticker
  6 | import matplotlib.animation as animation
  7 | from matplotlib.font_manager import FontProperties
  8 | import pandas as pd
  9 | from functools import cmp_to_key
 10 | import logging
 11 | from docopt import docopt
 12 | # 
 13 | from config import AllColors, MARKERS, FONT_PATH
 14 | from utils import FileType2
 15 | 
 16 | # support Chinese
 17 | font_title = FontProperties(fname=FONT_PATH, size = 20, weight=600)
 18 | font1 = FontProperties(fname=FONT_PATH, size = 14, weight=600)
 19 | font2 = FontProperties(fname=FONT_PATH, size = 12, weight=600)
 20 | '''
 21 | core class TimeSeriesAnimationChart
 22 | '''
 23 | 
 24 | class TimeSeriesAnimationChart():
 25 | 
 26 |     def __init__(self, datasets, val, time, name):
 27 |         self._datasets = datasets
 28 |         self._val = val
 29 |         self._time = time
 30 |         self._name = name
 31 |         self._colors = None
 32 |         self._fig = None
 33 |         self._ax = None
 34 |     
 35 |     def _loadcolors(self):
 36 |         # need to update
 37 |         name_list = list(set(self._datasets[self._name].values))
 38 |         color_list = AllColors[:len(name_list)]
 39 |         return dict(zip(name_list, color_list))
 40 | 
 41 |     def _loadmarkers(self):
 42 |         name_list = list(set(self._datasets[self._name].values))
 43 |         marker_list = MARKERS[:len(name_list)]
 44 |         return dict(zip(name_list, marker_list))
 45 |     
 46 |     def _checkdataset(self):
 47 |         # need fixd use try .. except ..
 48 |         assert isinstance(self._datasets, pd.DataFrame)
 49 | 
 50 |         columns = [self._val, self._time, self._name]
 51 | 
 52 |         try:
 53 |             df = self._datasets[columns]
 54 |         except KeyError:
 55 |             logging.error("index error")
 56 |             return -1
 57 | 
 58 |         # has null 
 59 |         for col in columns:
 60 |             null_num = df[col].isnull().sum()
 61 |             if null_num != 0:
 62 |                 logging.warning('{} has null val!'.format(col))
 63 |         # values must float or xxx,xxx,xxx
 64 |         if isinstance(self._datasets[self._val][0], str):
 65 |             self._datasets[self._val] = self._datasets[self._val].apply(lambda x: eval(x.replace(',','')))
 66 | 
 67 |         return 0 
 68 | 
 69 |     def _make_frame(self, cmp = None, reverse = False):
 70 |         times = list(set(self._datasets[self._time].values))
 71 |         if cmp != None:
 72 |             cmp = cmp_to_key(cmp)
 73 |         times.sort(key = cmp, reverse=reverse)
 74 |         # print(times)
 75 |         return times
 76 | 
 77 |     def _drawBarChart(self, k):
 78 |         # need to update
 79 |         dff = self._datasets[self._datasets[self._time].eq(k)].sort_values(by=self._val, ascending=True).tail(self._bar_display_num)
 80 |         self._ax.clear()
 81 |         self._ax.barh(dff[self._name], dff[self._val], color = [self._colors[x] for x in dff[self._name]])
 82 | 
 83 |         dx = 0.01
 84 |         for i, (value, name) in enumerate(zip(dff[self._val], dff[self._name])):
 85 |             self._ax.text(value*(1-dx), i, name, size = 14, weight = 600, color='#242424', ha = 'right', va='bottom', fontproperties=font1)
 86 |             self._ax.text(value*(1+dx), i-0.25, '', size=10, color='#444444', ha = 'right', va = 'baseline', fontproperties=font2)
 87 |             self._ax.text(value*(1+dx), i, f'{value:,.0f}', size=14, ha = 'left', va='center')
 88 |         
 89 |         self._ax.text(1, 0.25, k, transform=self._ax.transAxes, color='#777777', size=46, ha='right', weight=800)
 90 |         self._ax.text(0, 1.05, "{}".format(self._val), transform=self._ax.transAxes, size=12, color='#777777')
 91 |         self._ax.xaxis.set_major_formatter(ticker.StrMethodFormatter('{x:,.0f}'))
 92 |         self._ax.xaxis.set_ticks_position('top')
 93 |         self._ax.tick_params(axis='x', colors='#777777', labelsize=12)
 94 |         self._ax.set_yticks([])
 95 |         self._ax.margins(0, 0.01)
 96 |         self._ax.grid(which='major', axis='x', linestyle='-')
 97 |         self._ax.set_axisbelow(True)
 98 |         self._ax.text(0, 1.10, '{}-{}'.format(self._frameMin, self._frameMax), transform = self._ax.transAxes, size = 24, weight = 600, ha='left')
 99 |         plt.box(False)
100 |         plt.title('{}'.format(self._title), fontproperties = font_title, color = '#777777')
101 | 
102 |     def _drawPieChart(self, k):
103 |         # 分为selected和未selected两部分
104 |         dff = self._datasets[self._datasets[self._time].eq(k)]
105 | 
106 |         if isinstance(self._otherdf, pd.DataFrame):
107 |             otherdff = self._otherdf[self._otherdf[self._time].eq(k)]
108 |             dff = pd.concat([dff, otherdff], axis = 0)
109 | 
110 |         self._ax.clear()
111 |         self._ax.pie(x = dff[self._val], labels = dff[self._name], autopct='%1.2f%%', center=(8,6), radius = 1, labeldistance = 1.1,
112 |                     textprops=dict(fontproperties=font1))
113 |         # 饼图似乎有点问题
114 |         plt.legend(title = '{}'.format(self._name), loc="center right", bbox_to_anchor=(1, 0, 0.5, 1), prop = font2)
115 |         self._ax.set_xlabel('{}'.format(k), size = 24, color = '#777777', weight = 600)
116 |         plt.title('{}'.format(self._title), fontproperties = font_title, color = '#777777')
117 | 
118 |     def _drawLineChart(self, k):
119 |         dff = self._datasets[self._datasets[self._time].le(k)]
120 |         df = dff[dff[self._time].eq(k)]
121 |         self._ax.clear()
122 |         for name in df[self._name]:
123 |             item = dff[dff[self._name].eq(name)]
124 |             self._ax.plot(item[self._time], item[self._val],c = self._colors[name], marker = self._markers[name], lw = 1.5, ms = 3, label = name)
125 |         
126 |         dx = 0.03
127 |         for _, (value, time, name) in enumerate(zip(df[self._val], df[self._time], df[self._name])):
128 |             self._ax.text(time, value*(1+dx), name, size = 10, weight=400, va='bottom', color = '#444444', fontproperties=font1)
129 |             self._ax.text(time, value*(1+dx), f'{value:,.0f}', size = 12, weight=400, va='top', color = '#444433')           
130 | 
131 |         self._ax.grid(which = 'major', axis = 'y', linestyle='--', linewidth=1, alpha=0.3)  
132 |         self._ax.set_xlabel('{}'.format(self._time), size = 20, color = '#777777', weight = 400)
133 |         self._ax.yaxis.set_major_formatter(ticker.StrMethodFormatter('{x:,.0f}'))
134 |         self._ax.set_ylabel('{}'.format(self._val), size = 20, color = '#777777', weight = 400)
135 |         self._ax.spines['top'].set_visible(False) # 去掉上边框
136 |         self._ax.spines['right'].set_visible(False) # 去掉上边框
137 |         self._ax.legend(prop=font2,  bbox_to_anchor=(0, 0, 0.1, 1)) #
138 |         plt.title('{}'.format(self._title), fontproperties = font_title, color = '#777777')
139 |         self._ax.text(0.25, 0.9, k, transform=self._ax.transAxes, color='#777777', size=46, ha='right', weight=800)
140 | 
141 |     def animation(self, chart_type = 'line', bar_display_num = 10, selected=None,title = '', saveflag = False,
142 |                  interval = 200, repeat = False, frames = None,
143 |                  cmp=None, reverse = False, ):
144 | 
145 |         # check
146 |         if self._checkdataset():
147 |             logging.error("file check error")
148 |             return 
149 |         logging.info('Check Accomplished!')
150 |         # loads 
151 |         self._colors = self._loadcolors()
152 |         self._markers = self._loadmarkers()
153 |         self._selected = selected
154 |         self._title = title
155 |         self._bar_display_num = bar_display_num
156 |         logging.info('Load Congfig! Accomplished!')
157 |         # make frame
158 |         if(frames == None):
159 |             frames = self._make_frame(cmp, reverse)
160 |         self._frameMax = frames[-1]
161 |         self._frameMin = frames[0]
162 | 
163 |         # chart_type
164 |         drawFunc = None
165 |         if chart_type == 'bar':
166 |             drawFunc = self._drawBarChart
167 |         if chart_type == 'pie':
168 |             drawFunc = self._drawPieChart
169 |         if chart_type == 'line':
170 |             drawFunc = self._drawLineChart
171 | 
172 |         if drawFunc == None:
173 |             logging.error("select right draw funcs")
174 |             return 
175 |         # 
176 |         self._otherdf = None
177 |         if self._selected != None:
178 |             df_tmp = self._datasets[~self._datasets[self._name].isin(self._selected)]
179 |             df = df_tmp[self._val].groupby(df_tmp[self._time]).sum()
180 |             self._otherdf = pd.DataFrame()
181 | 
182 |             self._otherdf[self._time] = df.index
183 |             self._otherdf[self._val] = df.values
184 |             self._otherdf[self._name] = 'others'
185 |             self._datasets = self._datasets[self._datasets[self._name].isin(self._selected)]
186 | 
187 |         # make animator 
188 |         self._fig, self._ax = plt.subplots(figsize = (15, 8))
189 |         animator = animation.FuncAnimation(self._fig, drawFunc, frames=frames, interval = interval ,repeat = repeat)
190 |         if saveflag:
191 |             print('please wait, {}-{}.gif are saving'.format(self._title, chart_type))
192 |             animator.save('{}-{}.gif'.format(self._title, chart_type), writer='imagemagick')
193 |             print('saved as {}-{}.gif are saving'.format(self._title, chart_type))
194 |         plt.show()
195 | 
196 | def cli():
197 |     cli_docs = """
198 |     ******************************************************************************************************************************************
199 |     TimeSeriesAnimationChart is a smalls tools for time series dynamic visualization.
200 |     support .json .csv .xlsx
201 |     save AnimationChart as .fig file
202 | 
203 |     Usage:
204 |         TimeSeriesAnimationChart.py (bar | line | pie) <file_path> <val> <time> <name> [--bar_display_num=<bar_display_num>] [--selected=<selectd>] [--title=<title>] [--save=<save>]
205 |         TimeSeriesAnimationChart.py (-h | --help)
206 |     
207 |     Options:
208 |         -h --help                                 Show this screen.
209 |         --bar_display_num=<bar_display_num>       bars num
210 |         --selected=<selectd>                      specific name
211 |         [--title=<title>                          chart title
212 |         --save=<save>                             save as .fig file (true|false)
213 | 
214 |     Query example：
215 |         python TimeSeriesAnimationChart.py bar example/population_data.csv val year country --save=true
216 |         python TimeSeriesAnimationChart.py line example/population_data.csv val year country --selected='中国 印度 美国'
217 |     """
218 |     arguments = docopt(cli_docs)
219 |     file_path = arguments['<file_path>']
220 |     val = arguments['<val>']
221 |     time = arguments['<time>']
222 |     name = arguments['<name>']
223 |     if arguments['bar'] == True:
224 |         chart_type='bar'
225 |     elif arguments['line'] == True:
226 |         chart_type = 'line'
227 |     elif arguments['pie'] == True:
228 |         chart_type = 'pie'
229 |     bar_display_num = 10 if not arguments['--bar_display_num'] else int(arguments['--bar_display_num'])
230 |     selectd = arguments['--selected'].split(' ') if arguments['--selected'] else None
231 |     title  = arguments['--title'] if arguments['--title'] else "chart"
232 |     saveflag = arguments['--save'] if arguments['--save'] else ""
233 | 
234 |     datasets = FileType2.load_file(file_path)
235 |     a = TimeSeriesAnimationChart(datasets, val, time, name)
236 |     a.animation(chart_type, bar_display_num, selectd, title, saveflag)
237 | 
238 | if __name__ == "__main__":
239 |     cli()
240 | 


--------------------------------------------------------------------------------
/Pipfile.lock:
--------------------------------------------------------------------------------
  1 | {
  2 |     "_meta": {
  3 |         "hash": {
  4 |             "sha256": "0c6eefa283536ce9b75483a144e40328c1554787a0b5a67fb913a0733eec7150"
  5 |         },
  6 |         "pipfile-spec": 6,
  7 |         "requires": {
  8 |             "python_version": "3.6"
  9 |         },
 10 |         "sources": [
 11 |             {
 12 |                 "name": "pypi",
 13 |                 "url": "https://pypi.org/simple",
 14 |                 "verify_ssl": true
 15 |             }
 16 |         ]
 17 |     },
 18 |     "default": {
 19 |         "datasets": {
 20 |             "hashes": [
 21 |                 "sha256:86d54441bab87aebb2aa3bf0853aa7fb7abed8c708f9bb08a88e86a498972010",
 22 |                 "sha256:f53549c4b8c43503762d43412bcd2fe3be437247dfdfee11c6231b04ddd1b482"
 23 |             ],
 24 |             "index": "pypi",
 25 |             "version": "==0.0.9"
 26 |         },
 27 |         "docopt": {
 28 |             "hashes": [
 29 |                 "sha256:49b3a825280bd66b3aa83585ef59c4a8c82f2c8a522dbe754a8bc8d08c85c491"
 30 |             ],
 31 |             "index": "pypi",
 32 |             "version": "==0.6.2"
 33 |         },
 34 |         "numpy": {
 35 |             "hashes": [
 36 |                 "sha256:05dbfe72684cc14b92568de1bc1f41e5f62b00f714afc9adee42f6311738091f",
 37 |                 "sha256:0d82cb7271a577529d07bbb05cb58675f2deb09772175fab96dc8de025d8ac05",
 38 |                 "sha256:10132aa1fef99adc85a905d82e8497a580f83739837d7cbd234649f2e9b9dc58",
 39 |                 "sha256:12322df2e21f033a60c80319c25011194cd2a21294cc66fee0908aeae2c27832",
 40 |                 "sha256:16f19b3aa775dddc9814e02a46b8e6ae6a54ed8cf143962b4e53f0471dbd7b16",
 41 |                 "sha256:3d0b0989dd2d066db006158de7220802899a1e5c8cf622abe2d0bd158fd01c2c",
 42 |                 "sha256:438a3f0e7b681642898fd7993d38e2bf140a2d1eafaf3e89bb626db7f50db355",
 43 |                 "sha256:5fd214f482ab53f2cea57414c5fb3e58895b17df6e6f5bca5be6a0bb6aea23bb",
 44 |                 "sha256:73615d3edc84dd7c4aeb212fa3748fb83217e00d201875a47327f55363cef2df",
 45 |                 "sha256:7bd355ad7496f4ce1d235e9814ec81ee3d28308d591c067ce92e49f745ba2c2f",
 46 |                 "sha256:7d077f2976b8f3de08a0dcf5d72083f4af5411e8fddacd662aae27baa2601196",
 47 |                 "sha256:a4092682778dc48093e8bda8d26ee8360153e2047826f95a3f5eae09f0ae3abf",
 48 |                 "sha256:b458de8624c9f6034af492372eb2fee41a8e605f03f4732f43fc099e227858b2",
 49 |                 "sha256:e70fc8ff03a961f13363c2c95ef8285e0cf6a720f8271836f852cc0fa64e97c8",
 50 |                 "sha256:ee8e9d7cad5fe6dde50ede0d2e978d81eafeaa6233fb0b8719f60214cf226578",
 51 |                 "sha256:f4a4f6aba148858a5a5d546a99280f71f5ee6ec8182a7d195af1a914195b21a2"
 52 |             ],
 53 |             "version": "==1.17.2"
 54 |         },
 55 |         "pandas": {
 56 |             "hashes": [
 57 |                 "sha256:18d91a9199d1dfaa01ad645f7540370ba630bdcef09daaf9edf45b4b1bca0232",
 58 |                 "sha256:3f26e5da310a0c0b83ea50da1fd397de2640b02b424aa69be7e0784228f656c9",
 59 |                 "sha256:4182e32f4456d2c64619e97c58571fa5ca0993d1e8c2d9ca44916185e1726e15",
 60 |                 "sha256:426e590e2eb0e60f765271d668a30cf38b582eaae5ec9b31229c8c3c10c5bc21",
 61 |                 "sha256:5eb934a8f0dc358f0e0cdf314072286bbac74e4c124b64371395e94644d5d919",
 62 |                 "sha256:717928808043d3ea55b9bcde636d4a52d2236c246f6df464163a66ff59980ad8",
 63 |                 "sha256:8145f97c5ed71827a6ec98ceaef35afed1377e2d19c4078f324d209ff253ecb5",
 64 |                 "sha256:8744c84c914dcc59cbbb2943b32b7664df1039d99e834e1034a3372acb89ea4d",
 65 |                 "sha256:c1ac1d9590d0c9314ebf01591bd40d4c03d710bfc84a3889e5263c97d7891dee",
 66 |                 "sha256:cb2e197b7b0687becb026b84d3c242482f20cbb29a9981e43604eb67576da9f6",
 67 |                 "sha256:d4001b71ad2c9b84ff18b182cea22b7b6cbf624216da3ea06fb7af28d1f93165",
 68 |                 "sha256:d8930772adccb2882989ab1493fa74bd87d47c8ac7417f5dd3dd834ba8c24dc9",
 69 |                 "sha256:dfbb0173ee2399bc4ed3caf2d236e5c0092f948aafd0a15fbe4a0e77ee61a958",
 70 |                 "sha256:eebfbba048f4fa8ac711b22c78516e16ff8117d05a580e7eeef6b0c2be554c18",
 71 |                 "sha256:f1b21bc5cf3dbea53d33615d1ead892dfdae9d7052fa8898083bec88be20dcd2"
 72 |             ],
 73 |             "index": "pypi",
 74 |             "version": "==0.25.1"
 75 |         },
 76 |         "python-dateutil": {
 77 |             "hashes": [
 78 |                 "sha256:7e6584c74aeed623791615e26efd690f29817a27c73085b78e4bad02493df2fb",
 79 |                 "sha256:c89805f6f4d64db21ed966fda138f8a5ed7a4fdbc1a8ee329ce1b74e3c74da9e"
 80 |             ],
 81 |             "version": "==2.8.0"
 82 |         },
 83 |         "pytz": {
 84 |             "hashes": [
 85 |                 "sha256:26c0b32e437e54a18161324a2fca3c4b9846b74a8dccddd843113109e1116b32",
 86 |                 "sha256:c894d57500a4cd2d5c71114aaab77dbab5eabd9022308ce5ac9bb93a60a6f0c7"
 87 |             ],
 88 |             "version": "==2019.2"
 89 |         },
 90 |         "six": {
 91 |             "hashes": [
 92 |                 "sha256:3350809f0555b11f552448330d0b52d5f24c91a322ea4a15ef22629740f3761c",
 93 |                 "sha256:d16a0141ec1a18405cd4ce8b4613101da75da0e9a7aec5bdd4fa804d0e0eba73"
 94 |             ],
 95 |             "version": "==1.12.0"
 96 |         }
 97 |     },
 98 |     "develop": {
 99 |         "cycler": {
100 |             "hashes": [
101 |                 "sha256:1d8a5ae1ff6c5cf9b93e8811e581232ad8920aeec647c37316ceac982b08cb2d",
102 |                 "sha256:cd7b2d1018258d7247a71425e9f26463dfb444d411c39569972f4ce586b0c9d8"
103 |             ],
104 |             "version": "==0.10.0"
105 |         },
106 |         "kiwisolver": {
107 |             "hashes": [
108 |                 "sha256:05b5b061e09f60f56244adc885c4a7867da25ca387376b02c1efc29cc16bcd0f",
109 |                 "sha256:26f4fbd6f5e1dabff70a9ba0d2c4bd30761086454aa30dddc5b52764ee4852b7",
110 |                 "sha256:3b2378ad387f49cbb328205bda569b9f87288d6bc1bf4cd683c34523a2341efe",
111 |                 "sha256:400599c0fe58d21522cae0e8b22318e09d9729451b17ee61ba8e1e7c0346565c",
112 |                 "sha256:47b8cb81a7d18dbaf4fed6a61c3cecdb5adec7b4ac292bddb0d016d57e8507d5",
113 |                 "sha256:53eaed412477c836e1b9522c19858a8557d6e595077830146182225613b11a75",
114 |                 "sha256:58e626e1f7dfbb620d08d457325a4cdac65d1809680009f46bf41eaf74ad0187",
115 |                 "sha256:5a52e1b006bfa5be04fe4debbcdd2688432a9af4b207a3f429c74ad625022641",
116 |                 "sha256:5c7ca4e449ac9f99b3b9d4693debb1d6d237d1542dd6a56b3305fe8a9620f883",
117 |                 "sha256:682e54f0ce8f45981878756d7203fd01e188cc6c8b2c5e2cf03675390b4534d5",
118 |                 "sha256:79bfb2f0bd7cbf9ea256612c9523367e5ec51d7cd616ae20ca2c90f575d839a2",
119 |                 "sha256:7f4dd50874177d2bb060d74769210f3bce1af87a8c7cf5b37d032ebf94f0aca3",
120 |                 "sha256:8944a16020c07b682df861207b7e0efcd2f46c7488619cb55f65882279119389",
121 |                 "sha256:8aa7009437640beb2768bfd06da049bad0df85f47ff18426261acecd1cf00897",
122 |                 "sha256:939f36f21a8c571686eb491acfffa9c7f1ac345087281b412d63ea39ca14ec4a",
123 |                 "sha256:9733b7f64bd9f807832d673355f79703f81f0b3e52bfce420fc00d8cb28c6a6c",
124 |                 "sha256:a02f6c3e229d0b7220bd74600e9351e18bc0c361b05f29adae0d10599ae0e326",
125 |                 "sha256:a0c0a9f06872330d0dd31b45607197caab3c22777600e88031bfe66799e70bb0",
126 |                 "sha256:acc4df99308111585121db217681f1ce0eecb48d3a828a2f9bbf9773f4937e9e",
127 |                 "sha256:b64916959e4ae0ac78af7c3e8cef4becee0c0e9694ad477b4c6b3a536de6a544",
128 |                 "sha256:d3fcf0819dc3fea58be1fd1ca390851bdb719a549850e708ed858503ff25d995",
129 |                 "sha256:d52e3b1868a4e8fd18b5cb15055c76820df514e26aa84cc02f593d99fef6707f",
130 |                 "sha256:db1a5d3cc4ae943d674718d6c47d2d82488ddd94b93b9e12d24aabdbfe48caee",
131 |                 "sha256:e3a21a720791712ed721c7b95d433e036134de6f18c77dbe96119eaf7aa08004",
132 |                 "sha256:e8bf074363ce2babeb4764d94f8e65efd22e6a7c74860a4f05a6947afc020ff2",
133 |                 "sha256:f16814a4a96dc04bf1da7d53ee8d5b1d6decfc1a92a63349bb15d37b6a263dd9",
134 |                 "sha256:f2b22153870ca5cf2ab9c940d7bc38e8e9089fa0f7e5856ea195e1cf4ff43d5a",
135 |                 "sha256:f790f8b3dff3d53453de6a7b7ddd173d2e020fb160baff578d578065b108a05f"
136 |             ],
137 |             "version": "==1.1.0"
138 |         },
139 |         "matplotlib": {
140 |             "hashes": [
141 |                 "sha256:1febd22afe1489b13c6749ea059d392c03261b2950d1d45c17e3aed812080c93",
142 |                 "sha256:31a30d03f39528c79f3a592857be62a08595dec4ac034978ecd0f814fa0eec2d",
143 |                 "sha256:4442ce720907f67a79d45de9ada47be81ce17e6c2f448b3c64765af93f6829c9",
144 |                 "sha256:796edbd1182cbffa7e1e7a97f1e141f875a8501ba8dd834269ae3cd45a8c976f",
145 |                 "sha256:934e6243df7165aad097572abf5b6003c77c9b6c480c3c4de6f2ef1b5fdd4ec0",
146 |                 "sha256:bab9d848dbf1517bc58d1f486772e99919b19efef5dd8596d4b26f9f5ee08b6b",
147 |                 "sha256:c1fe1e6cdaa53f11f088b7470c2056c0df7d80ee4858dadf6cbe433fcba4323b",
148 |                 "sha256:e5b8aeca9276a3a988caebe9f08366ed519fff98f77c6df5b64d7603d0e42e36",
149 |                 "sha256:ec6bd0a6a58df3628ff269978f4a4b924a0d371ad8ce1f8e2b635b99e482877a"
150 |             ],
151 |             "index": "pypi",
152 |             "version": "==3.1.1"
153 |         },
154 |         "numpy": {
155 |             "hashes": [
156 |                 "sha256:05dbfe72684cc14b92568de1bc1f41e5f62b00f714afc9adee42f6311738091f",
157 |                 "sha256:0d82cb7271a577529d07bbb05cb58675f2deb09772175fab96dc8de025d8ac05",
158 |                 "sha256:10132aa1fef99adc85a905d82e8497a580f83739837d7cbd234649f2e9b9dc58",
159 |                 "sha256:12322df2e21f033a60c80319c25011194cd2a21294cc66fee0908aeae2c27832",
160 |                 "sha256:16f19b3aa775dddc9814e02a46b8e6ae6a54ed8cf143962b4e53f0471dbd7b16",
161 |                 "sha256:3d0b0989dd2d066db006158de7220802899a1e5c8cf622abe2d0bd158fd01c2c",
162 |                 "sha256:438a3f0e7b681642898fd7993d38e2bf140a2d1eafaf3e89bb626db7f50db355",
163 |                 "sha256:5fd214f482ab53f2cea57414c5fb3e58895b17df6e6f5bca5be6a0bb6aea23bb",
164 |                 "sha256:73615d3edc84dd7c4aeb212fa3748fb83217e00d201875a47327f55363cef2df",
165 |                 "sha256:7bd355ad7496f4ce1d235e9814ec81ee3d28308d591c067ce92e49f745ba2c2f",
166 |                 "sha256:7d077f2976b8f3de08a0dcf5d72083f4af5411e8fddacd662aae27baa2601196",
167 |                 "sha256:a4092682778dc48093e8bda8d26ee8360153e2047826f95a3f5eae09f0ae3abf",
168 |                 "sha256:b458de8624c9f6034af492372eb2fee41a8e605f03f4732f43fc099e227858b2",
169 |                 "sha256:e70fc8ff03a961f13363c2c95ef8285e0cf6a720f8271836f852cc0fa64e97c8",
170 |                 "sha256:ee8e9d7cad5fe6dde50ede0d2e978d81eafeaa6233fb0b8719f60214cf226578",
171 |                 "sha256:f4a4f6aba148858a5a5d546a99280f71f5ee6ec8182a7d195af1a914195b21a2"
172 |             ],
173 |             "version": "==1.17.2"
174 |         },
175 |         "pyparsing": {
176 |             "hashes": [
177 |                 "sha256:6f98a7b9397e206d78cc01df10131398f1c8b8510a2f4d97d9abd82e1aacdd80",
178 |                 "sha256:d9338df12903bbf5d65a0e4e87c2161968b10d2e489652bb47001d82a9b028b4"
179 |             ],
180 |             "version": "==2.4.2"
181 |         },
182 |         "python-dateutil": {
183 |             "hashes": [
184 |                 "sha256:7e6584c74aeed623791615e26efd690f29817a27c73085b78e4bad02493df2fb",
185 |                 "sha256:c89805f6f4d64db21ed966fda138f8a5ed7a4fdbc1a8ee329ce1b74e3c74da9e"
186 |             ],
187 |             "version": "==2.8.0"
188 |         },
189 |         "six": {
190 |             "hashes": [
191 |                 "sha256:3350809f0555b11f552448330d0b52d5f24c91a322ea4a15ef22629740f3761c",
192 |                 "sha256:d16a0141ec1a18405cd4ce8b4613101da75da0e9a7aec5bdd4fa804d0e0eba73"
193 |             ],
194 |             "version": "==1.12.0"
195 |         },
196 |         "v": {
197 |             "hashes": [
198 |                 "sha256:2d5a8f79a36aaebe62ef2c7068e3ec7f86656078202edabfdbf74715dc822d36",
199 |                 "sha256:cd6b6b20b4a611f209c88bcdfb7211321f85662efb2bdd53a7b40314d0a84618"
200 |             ],
201 |             "index": "pypi",
202 |             "version": "==0.0.0"
203 |         }
204 |     }
205 | }
206 | 


--------------------------------------------------------------------------------
/example/population_data.csv:
--------------------------------------------------------------------------------
   1 | ,country,states,val,year
   2 | 0,中国,亚洲,"654,954,856",1959
   3 | 1,印度,亚洲,"440,813,896",1959
   4 | 2,美国,美洲,"177,622,013",1959
   5 | 3,俄罗斯,欧洲,"118,148,000",1959
   6 | 4,日本,亚洲,"91,681,328",1959
   7 | 5,印尼,亚洲,"85,521,979",1959
   8 | 6,德国,欧洲,"72,247,225",1959
   9 | 7,巴西,美洲,"70,146,513",1959
  10 | 8,英国,欧洲,"52,218,942",1959
  11 | 9,意大利,欧洲,"49,208,667",1959
  12 | 10,孟加拉,亚洲,"46,847,445",1959
  13 | 11,法国,欧洲,"46,242,129",1959
  14 | 12,尼日利亚,非洲,"44,254,686",1959
  15 | 13,巴基斯坦,亚洲,"43,890,982",1959
  16 | 14,乌克兰,欧洲,"42,130,316",1959
  17 | 15,墨西哥,美洲,"36,989,694",1959
  18 | 16,越南,亚洲,"31,698,431",1959
  19 | 17,西班牙,欧洲,"30,115,936",1959
  20 | 18,波兰,欧洲,"28,665,037",1959
  21 | 19,土耳其,欧洲,"26,808,621",1959
  22 | 20,泰国,亚洲,"26,600,275",1959
  23 | 21,埃及,非洲,"26,262,697",1959
  24 | 22,菲律宾,亚洲,"25,408,603",1959
  25 | 23,韩国,亚洲,"24,295,670",1959
  26 | 24,埃塞俄比亚,非洲,"21,661,996",1959
  27 | 25,伊朗,亚洲,"21,350,524",1959
  28 | 26,缅甸,亚洲,"20,540,399",1959
  29 | 27,阿根廷,美洲,"20,285,531",1959
  30 | 28,罗马尼亚,欧洲,"18,254,608",1959
  31 | 29,加拿大,美洲,"17,502,043",1959
  32 | 30,南非,非洲,"17,009,989",1959
  33 | 31,哥伦比亚,美洲,"15,994,889",1959
  34 | 32,刚果（金）,非洲,"14,871,772",1959
  35 | 33,摩洛哥,非洲,"11,950,826",1959
  36 | 34,荷兰,欧洲,"11,264,566",1959
  37 | 35,朝鲜,亚洲,"11,145,152",1959
  38 | 36,阿尔及利亚,非洲,"10,848,973",1959
  39 | 37,澳大利亚,大洋洲,"10,046,139",1959
  40 | 38,匈牙利,欧洲,"9,957,295",1959
  41 | 39,中国,亚洲,"667,070,000",1960
  42 | 40,印度,亚洲,"450,547,679",1960
  43 | 41,美国,美洲,"180,671,000",1960
  44 | 42,俄罗斯,欧洲,"119,897,000",1960
  45 | 43,日本,亚洲,"92,500,572",1960
  46 | 44,印尼,亚洲,"87,751,068",1960
  47 | 45,德国,欧洲,"72,814,900",1960
  48 | 46,巴西,美洲,"72,179,226",1960
  49 | 47,英国,欧洲,"52,400,000",1960
  50 | 48,意大利,欧洲,"50,199,700",1960
  51 | 49,孟加拉,亚洲,"48,013,504",1960
  52 | 50,法国,欧洲,"46,621,669",1960
  53 | 51,尼日利亚,非洲,"45,138,458",1960
  54 | 52,巴基斯坦,亚洲,"44,988,690",1960
  55 | 53,乌克兰,欧洲,"42,664,652",1960
  56 | 54,墨西哥,美洲,"37,771,859",1960
  57 | 55,越南,亚洲,"32,670,039",1960
  58 | 56,西班牙,欧洲,"30,455,000",1960
  59 | 57,波兰,欧洲,"29,637,450",1960
  60 | 58,土耳其,欧洲,"27,472,345",1960
  61 | 59,泰国,亚洲,"27,397,207",1960
  62 | 60,埃及,非洲,"26,632,894",1960
  63 | 61,菲律宾,亚洲,"26,269,734",1960
  64 | 62,韩国,亚洲,"25,012,374",1960
  65 | 63,埃塞俄比亚,非洲,"22,151,278",1960
  66 | 64,伊朗,亚洲,"21,906,914",1960
  67 | 65,缅甸,亚洲,"21,736,942",1960
  68 | 66,阿根廷,美洲,"20,481,779",1960
  69 | 67,罗马尼亚,欧洲,"18,406,905",1960
  70 | 68,加拿大,美洲,"17,909,009",1960
  71 | 69,南非,非洲,"17,099,840",1960
  72 | 70,哥伦比亚,美洲,"16,057,724",1960
  73 | 71,刚果（金）,非洲,"15,248,251",1960
  74 | 72,摩洛哥,非洲,"12,328,532",1960
  75 | 73,荷兰,欧洲,"11,486,631",1960
  76 | 74,朝鲜,亚洲,"11,424,176",1960
  77 | 75,阿尔及利亚,非洲,"11,057,863",1960
  78 | 76,澳大利亚,大洋洲,"10,276,477",1960
  79 | 77,秘鲁,美洲,"10,155,015",1960
  80 | 78,中国,亚洲,"660,330,000",1961
  81 | 79,印度,亚洲,"459,642,165",1961
  82 | 80,美国,美洲,"183,691,000",1961
  83 | 81,俄罗斯,欧洲,"121,236,000",1961
  84 | 82,日本,亚洲,"94,943,000",1961
  85 | 83,印尼,亚洲,"90,098,394",1961
  86 | 84,巴西,美洲,"74,311,343",1961
  87 | 85,德国,欧洲,"73,377,632",1961
  88 | 86,英国,欧洲,"52,800,000",1961
  89 | 87,意大利,欧洲,"50,536,350",1961
  90 | 88,孟加拉,亚洲,"49,362,843",1961
  91 | 89,法国,欧洲,"47,240,543",1961
  92 | 90,巴基斯坦,亚洲,"46,065,231",1961
  93 | 91,尼日利亚,非洲,"46,063,563",1961
  94 | 92,乌克兰,欧洲,"43,206,345",1961
  95 | 93,墨西哥,美洲,"38,966,056",1961
  96 | 94,越南,亚洲,"33,666,110",1961
  97 | 95,西班牙,欧洲,"30,739,250",1961
  98 | 96,波兰,欧洲,"29,964,000",1961
  99 | 97,泰国,亚洲,"28,224,187",1961
 100 | 98,土耳其,欧洲,"28,146,910",1961
 101 | 99,埃及,非洲,"27,366,237",1961
 102 | 100,菲律宾,亚洲,"27,161,047",1961
 103 | 101,韩国,亚洲,"25,765,673",1961
 104 | 102,埃塞俄比亚,非洲,"22,671,191",1961
 105 | 103,伊朗,亚洲,"22,480,372",1961
 106 | 104,缅甸,亚洲,"22,211,624",1961
 107 | 105,阿根廷,美洲,"20,817,266",1961
 108 | 106,罗马尼亚,欧洲,"18,555,250",1961
 109 | 107,加拿大,美洲,"18,271,000",1961
 110 | 108,南非,非洲,"17,524,533",1961
 111 | 109,哥伦比亚,美洲,"16,567,811",1961
 112 | 110,刚果（金）,非洲,"15,637,699",1961
 113 | 111,摩洛哥,非洲,"12,710,581",1961
 114 | 112,朝鲜,亚洲,"11,665,595",1961
 115 | 113,荷兰,欧洲,"11,638,712",1961
 116 | 114,阿尔及利亚,非洲,"11,336,339",1961
 117 | 115,澳大利亚,大洋洲,"10,483,000",1961
 118 | 116,秘鲁,美洲,"10,446,620",1961
 119 | 117,中国,亚洲,"665,770,000",1962
 120 | 118,印度,亚洲,"469,077,190",1962
 121 | 119,美国,美洲,"186,538,000",1962
 122 | 120,俄罗斯,欧洲,"122,591,000",1962
 123 | 121,日本,亚洲,"95,832,000",1962
 124 | 122,印尼,亚洲,"92,518,377",1962
 125 | 123,巴西,美洲,"76,514,328",1962
 126 | 124,德国,欧洲,"74,025,784",1962
 127 | 125,英国,欧洲,"53,250,000",1962
 128 | 126,意大利,欧洲,"50,879,450",1962
 129 | 127,孟加拉,亚洲,"50,752,157",1962
 130 | 128,法国,欧洲,"47,904,877",1962
 131 | 129,巴基斯坦,亚洲,"47,198,878",1962
 132 | 130,尼日利亚,非洲,"47,029,822",1962
 133 | 131,乌克兰,欧洲,"43,752,230",1962
 134 | 132,墨西哥,美洲,"40,195,319",1962
 135 | 133,越南,亚洲,"34,683,407",1962
 136 | 134,西班牙,欧洲,"31,023,366",1962
 137 | 135,波兰,欧洲,"30,308,500",1962
 138 | 136,泰国,亚洲,"29,080,938",1962
 139 | 137,土耳其,欧洲,"28,832,827",1962
 140 | 138,埃及,非洲,"28,112,256",1962
 141 | 139,菲律宾,亚洲,"28,077,339",1962
 142 | 140,韩国,亚洲,"26,513,030",1962
 143 | 141,埃塞俄比亚,非洲,"23,221,389",1962
 144 | 142,伊朗,亚洲,"23,071,315",1962
 145 | 143,缅甸,亚洲,"22,697,667",1962
 146 | 144,阿根廷,美洲,"21,153,052",1962
 147 | 145,罗马尼亚,欧洲,"18,676,550",1962
 148 | 146,加拿大,美洲,"18,614,000",1962
 149 | 147,南非,非洲,"17,965,725",1962
 150 | 148,哥伦比亚,美洲,"17,092,918",1962
 151 | 149,刚果（金）,非洲,"16,041,190",1962
 152 | 150,摩洛哥,非洲,"13,094,888",1962
 153 | 151,朝鲜,亚洲,"11,871,712",1962
 154 | 152,荷兰,欧洲,"11,805,689",1962
 155 | 153,阿尔及利亚,非洲,"11,619,828",1962
 156 | 154,哈萨克斯坦,亚洲,"10,756,928",1962
 157 | 155,秘鲁,美洲,"10,749,466",1962
 158 | 156,中国,亚洲,"682,335,000",1963
 159 | 157,印度,亚洲,"478,825,608",1963
 160 | 158,美国,美洲,"189,242,000",1963
 161 | 159,俄罗斯,欧洲,"123,960,000",1963
 162 | 160,日本,亚洲,"96,812,000",1963
 163 | 161,印尼,亚洲,"95,015,297",1963
 164 | 162,巴西,美洲,"78,772,657",1963
 165 | 163,德国,欧洲,"74,714,353",1963
 166 | 164,英国,欧洲,"53,650,000",1963
 167 | 165,孟加拉,亚洲,"52,202,007",1963
 168 | 166,意大利,欧洲,"51,252,000",1963
 169 | 167,法国,欧洲,"48,582,611",1963
 170 | 168,巴基斯坦,亚洲,"48,387,301",1963
 171 | 169,尼日利亚,非洲,"48,032,934",1963
 172 | 170,乌克兰,欧洲,"44,288,608",1963
 173 | 171,墨西哥,美洲,"41,462,369",1963
 174 | 172,越南,亚洲,"35,721,217",1963
 175 | 173,西班牙,欧洲,"31,296,651",1963
 176 | 174,波兰,欧洲,"30,712,000",1963
 177 | 175,泰国,亚洲,"29,966,865",1963
 178 | 176,土耳其,欧洲,"29,531,365",1963
 179 | 177,菲律宾,亚洲,"29,012,625",1963
 180 | 178,埃及,非洲,"28,871,383",1963
 181 | 179,韩国,亚洲,"27,261,747",1963
 182 | 180,埃塞俄比亚,非洲,"23,798,430",1963
 183 | 181,伊朗,亚洲,"23,680,258",1963
 184 | 182,缅甸,亚洲,"23,198,241",1963
 185 | 183,阿根廷,美洲,"21,488,912",1963
 186 | 184,加拿大,美洲,"18,964,000",1963
 187 | 185,罗马尼亚,欧洲,"18,797,850",1963
 188 | 186,南非,非洲,"18,423,161",1963
 189 | 187,哥伦比亚,美洲,"17,629,979",1963
 190 | 188,刚果（金）,非洲,"16,461,830",1963
 191 | 189,摩洛哥,非洲,"13,478,423",1963
 192 | 190,朝鲜,亚洲,"12,065,468",1963
 193 | 191,荷兰,欧洲,"11,965,966",1963
 194 | 192,阿尔及利亚,非洲,"11,912,803",1963
 195 | 193,哈萨克斯坦,亚洲,"11,147,859",1963
 196 | 194,秘鲁,美洲,"11,062,300",1963
 197 | 195,中国,亚洲,"698,355,000",1964
 198 | 196,印度,亚洲,"488,848,135",1964
 199 | 197,美国,美洲,"191,889,000",1964
 200 | 198,俄罗斯,欧洲,"125,345,000",1964
 201 | 199,日本,亚洲,"97,826,000",1964
 202 | 200,印尼,亚洲,"97,596,733",1964
 203 | 201,巴西,美洲,"81,064,571",1964
 204 | 202,德国,欧洲,"75,318,337",1964
 205 | 203,英国,欧洲,"54,000,000",1964
 206 | 204,孟加拉,亚洲,"53,741,716",1964
 207 | 205,意大利,欧洲,"51,675,350",1964
 208 | 206,巴基斯坦,亚洲,"49,627,623",1964
 209 | 207,法国,欧洲,"49,230,595",1964
 210 | 208,尼日利亚,非洲,"49,066,760",1964
 211 | 209,乌克兰,欧洲,"44,796,964",1964
 212 | 210,墨西哥,美洲,"42,771,079",1964
 213 | 211,越南,亚洲,"36,779,999",1964
 214 | 212,西班牙,欧洲,"31,609,195",1964
 215 | 213,波兰,欧洲,"31,139,450",1964
 216 | 214,泰国,亚洲,"30,881,138",1964
 217 | 215,土耳其,欧洲,"30,244,261",1964
 218 | 216,菲律宾,亚洲,"29,958,688",1964
 219 | 217,埃及,非洲,"29,644,875",1964
 220 | 218,韩国,亚洲,"27,984,155",1964
 221 | 219,埃塞俄比亚,非洲,"24,397,022",1964
 222 | 220,伊朗,亚洲,"24,307,860",1964
 223 | 221,缅甸,亚洲,"23,717,788",1964
 224 | 222,阿根廷,美洲,"21,824,425",1964
 225 | 223,加拿大,美洲,"19,325,000",1964
 226 | 224,罗马尼亚,欧洲,"18,919,126",1964
 227 | 225,南非,非洲,"18,896,307",1964
 228 | 226,哥伦比亚,美洲,"18,175,185",1964
 229 | 227,刚果（金）,非洲,"16,903,831",1964
 230 | 228,摩洛哥,非洲,"13,857,649",1964
 231 | 229,朝鲜,亚洲,"12,282,419",1964
 232 | 230,阿尔及利亚,非洲,"12,221,675",1964
 233 | 231,荷兰,欧洲,"12,127,120",1964
 234 | 232,哈萨克斯坦,亚洲,"11,511,847",1964
 235 | 233,秘鲁,美洲,"11,383,373",1964
 236 | 234,中国,亚洲,"715,185,000",1965
 237 | 235,印度,亚洲,"499,123,324",1965
 238 | 236,美国,美洲,"194,303,000",1965
 239 | 237,俄罗斯,欧洲,"126,745,000",1965
 240 | 238,印尼,亚洲,"100,267,062",1965
 241 | 239,日本,亚洲,"98,883,000",1965
 242 | 240,巴西,美洲,"83,373,530",1965
 243 | 241,德国,欧洲,"75,963,695",1965
 244 | 242,孟加拉,亚洲,"55,385,112",1965
 245 | 243,英国,欧洲,"54,348,050",1965
 246 | 244,意大利,欧洲,"52,112,350",1965
 247 | 245,巴基斯坦,亚洲,"50,917,975",1965
 248 | 246,尼日利亚,非洲,"50,127,921",1965
 249 | 247,法国,欧洲,"49,818,028",1965
 250 | 248,乌克兰,欧洲,"45,264,548",1965
 251 | 249,墨西哥,美洲,"44,123,853",1965
 252 | 250,越南,亚洲,"37,858,951",1965
 253 | 251,西班牙,欧洲,"31,954,292",1965
 254 | 252,泰国,亚洲,"31,822,660",1965
 255 | 253,波兰,欧洲,"31,444,950",1965
 256 | 254,土耳其,欧洲,"30,972,994",1965
 257 | 255,菲律宾,亚洲,"30,909,988",1965
 258 | 256,埃及,非洲,"30,433,022",1965
 259 | 257,韩国,亚洲,"28,704,674",1965
 260 | 258,埃塞俄比亚,非洲,"25,013,626",1965
 261 | 259,伊朗,亚洲,"24,954,873",1965
 262 | 260,缅甸,亚洲,"24,259,359",1965
 263 | 261,阿根廷,美洲,"22,159,650",1965
 264 | 262,加拿大,美洲,"19,678,000",1965
 265 | 263,南非,非洲,"19,384,841",1965
 266 | 264,罗马尼亚,欧洲,"19,031,576",1965
 267 | 265,哥伦比亚,美洲,"18,725,245",1965
 268 | 266,刚果（金）,非洲,"17,369,883",1965
 269 | 267,摩洛哥,非洲,"14,230,163",1965
 270 | 268,阿尔及利亚,非洲,"12,550,885",1965
 271 | 269,朝鲜,亚洲,"12,547,525",1965
 272 | 270,荷兰,欧洲,"12,294,732",1965
 273 | 271,哈萨克斯坦,亚洲,"11,841,920",1965
 274 | 272,秘鲁,美洲,"11,711,392",1965
 275 | 273,中国,亚洲,"735,400,000",1966
 276 | 274,印度,亚洲,"509,631,500",1966
 277 | 275,美国,美洲,"196,560,000",1966
 278 | 276,俄罗斯,欧洲,"127,468,000",1966
 279 | 277,印尼,亚洲,"103,025,426",1966
 280 | 278,日本,亚洲,"99,790,000",1966
 281 | 279,巴西,美洲,"85,696,505",1966
 282 | 280,德国,欧洲,"76,600,311",1966
 283 | 281,孟加拉,亚洲,"57,157,654",1966
 284 | 282,英国,欧洲,"54,648,500",1966
 285 | 283,意大利,欧洲,"52,519,000",1966
 286 | 284,巴基斯坦,亚洲,"52,260,189",1966
 287 | 285,尼日利亚,非洲,"51,217,973",1966
 288 | 286,法国,欧洲,"50,330,262",1966
 289 | 287,乌克兰,欧洲,"45,684,979",1966
 290 | 288,墨西哥,美洲,"45,519,737",1966
 291 | 289,越南,亚洲,"38,958,048",1966
 292 | 290,泰国,亚洲,"32,789,130",1966
 293 | 291,西班牙,欧洲,"32,283,194",1966
 294 | 292,菲律宾,亚洲,"31,864,182",1966
 295 | 293,土耳其,欧洲,"31,717,507",1966
 296 | 294,波兰,欧洲,"31,681,000",1966
 297 | 295,埃及,非洲,"31,237,600",1966
 298 | 296,韩国,亚洲,"29,435,571",1966
 299 | 297,埃塞俄比亚,非洲,"25,641,044",1966
 300 | 298,伊朗,亚洲,"25,624,373",1966
 301 | 299,缅甸,亚洲,"24,823,940",1966
 302 | 300,阿根廷,美洲,"22,494,035",1966
 303 | 301,加拿大,美洲,"20,048,000",1966
 304 | 302,南非,非洲,"19,888,250",1966
 305 | 303,哥伦比亚,美洲,"19,279,740",1966
 306 | 304,罗马尼亚,欧洲,"19,215,450",1966
 307 | 305,刚果（金）,非洲,"17,862,049",1966
 308 | 306,摩洛哥,非洲,"14,595,350",1966
 309 | 307,阿尔及利亚,非洲,"12,902,627",1966
 310 | 308,朝鲜,亚洲,"12,864,954",1966
 311 | 309,荷兰,欧洲,"12,456,251",1966
 312 | 310,哈萨克斯坦,亚洲,"12,132,559",1966
 313 | 311,秘鲁,美洲,"12,045,787",1966
 314 | 312,中国,亚洲,"754,550,000",1967
 315 | 313,印度,亚洲,"520,400,576",1967
 316 | 314,美国,美洲,"198,712,000",1967
 317 | 315,俄罗斯,欧洲,"128,196,000",1967
 318 | 316,印尼,亚洲,"105,865,571",1967
 319 | 317,日本,亚洲,"100,725,000",1967
 320 | 318,巴西,美洲,"88,035,814",1967
 321 | 319,德国,欧洲,"76,951,336",1967
 322 | 320,孟加拉,亚洲,"59,034,249",1967
 323 | 321,英国,欧洲,"54,943,600",1967
 324 | 322,巴基斯坦,亚洲,"53,655,789",1967
 325 | 323,意大利,欧洲,"52,900,500",1967
 326 | 324,尼日利亚,非洲,"52,342,233",1967
 327 | 325,法国,欧洲,"50,775,794",1967
 328 | 326,墨西哥,美洲,"46,956,208",1967
 329 | 327,乌克兰,欧洲,"46,063,228",1967
 330 | 328,越南,亚洲,"40,072,948",1967
 331 | 329,泰国,亚洲,"33,778,799",1967
 332 | 330,菲律宾,亚洲,"32,823,968",1967
 333 | 331,西班牙,欧洲,"32,682,947",1967
 334 | 332,土耳其,欧洲,"32,477,992",1967
 335 | 333,埃及,非洲,"32,056,510",1967
 336 | 334,波兰,欧洲,"31,987,155",1967
 337 | 335,韩国,亚洲,"30,130,983",1967
 338 | 336,伊朗,亚洲,"26,317,783",1967
 339 | 337,埃塞俄比亚,非洲,"26,280,132",1967
 340 | 338,缅甸,亚洲,"25,410,060",1967
 341 | 339,阿根廷,美洲,"22,828,869",1967
 342 | 340,加拿大,美洲,"20,412,000",1967
 343 | 341,南非,非洲,"20,406,864",1967
 344 | 342,哥伦比亚,美洲,"19,837,510",1967
 345 | 343,罗马尼亚,欧洲,"19,534,242",1967
 346 | 344,刚果（金）,非洲,"18,378,625",1967
 347 | 345,摩洛哥,非洲,"14,954,031",1967
 348 | 346,阿尔及利亚,非洲,"13,275,026",1967
 349 | 347,朝鲜,亚洲,"13,222,694",1967
 350 | 348,荷兰,欧洲,"12,598,201",1967
 351 | 349,秘鲁,美洲,"12,386,879",1967
 352 | 350,哈萨克斯坦,亚洲,"12,385,710",1967
 353 | 351,中国,亚洲,"774,510,000",1968
 354 | 352,印度,亚洲,"531,513,824",1968
 355 | 353,美国,美洲,"200,706,000",1968
 356 | 354,俄罗斯,欧洲,"128,928,000",1968
 357 | 355,印尼,亚洲,"108,779,924",1968
 358 | 356,日本,亚洲,"101,061,000",1968
 359 | 357,巴西,美洲,"90,387,079",1968
 360 | 358,德国,欧洲,"77,294,314",1968
 361 | 359,孟加拉,亚洲,"60,918,454",1968
 362 | 360,英国,欧洲,"55,211,700",1968
 363 | 361,巴基斯坦,亚洲,"55,102,684",1968
 364 | 362,尼日利亚,非洲,"53,506,196",1968
 365 | 363,意大利,欧洲,"53,235,750",1968
 366 | 364,法国,欧洲,"51,175,508",1968
 367 | 365,墨西哥,美洲,"48,431,972",1968
 368 | 366,乌克兰,欧洲,"46,411,810",1968
 369 | 367,越南,亚洲,"41,193,601",1968
 370 | 368,泰国,亚洲,"34,791,409",1968
 371 | 369,菲律宾,亚洲,"33,795,194",1968
 372 | 370,土耳其,欧洲,"33,256,464",1968
 373 | 371,西班牙,欧洲,"33,113,134",1968
 374 | 372,埃及,非洲,"32,881,848",1968
 375 | 373,波兰,欧洲,"32,294,655",1968
 376 | 374,韩国,亚洲,"30,838,302",1968
 377 | 375,伊朗,亚洲,"27,032,571",1968
 378 | 376,埃塞俄比亚,非洲,"26,944,390",1968
 379 | 377,缅甸,亚洲,"26,015,248",1968
 380 | 378,阿根廷,美洲,"23,168,267",1968
 381 | 379,南非,非洲,"20,942,145",1968
 382 | 380,加拿大,美洲,"20,744,000",1968
 383 | 381,哥伦比亚,美洲,"20,393,699",1968
 384 | 382,罗马尼亚,欧洲,"19,799,831",1968
 385 | 383,刚果（金）,非洲,"18,913,878",1968
 386 | 384,摩洛哥,非洲,"15,307,273",1968
 387 | 385,阿尔及利亚,非洲,"13,663,583",1968
 388 | 386,朝鲜,亚洲,"13,609,982",1968
 389 | 387,秘鲁,美洲,"12,735,486",1968
 390 | 388,荷兰,欧洲,"12,729,721",1968
 391 | 389,坦桑尼亚,非洲,"12,725,522",1968
 392 | 390,中国,亚洲,"796,025,000",1969
 393 | 391,印度,亚洲,"543,084,336",1969
 394 | 392,美国,美洲,"202,677,000",1969
 395 | 393,俄罗斯,欧洲,"129,664,000",1969
 396 | 394,印尼,亚洲,"111,758,563",1969
 397 | 395,日本,亚洲,"103,172,000",1969
 398 | 396,巴西,美洲,"92,746,614",1969
 399 | 397,德国,欧洲,"77,909,682",1969
 400 | 398,孟加拉,亚洲,"62,679,765",1969
 401 | 399,巴基斯坦,亚洲,"56,598,144",1969
 402 | 400,英国,欧洲,"55,441,750",1969
 403 | 401,尼日利亚,非洲,"54,717,039",1969
 404 | 402,意大利,欧洲,"53,537,950",1969
 405 | 403,法国,欧洲,"51,561,836",1969
 406 | 404,墨西哥,美洲,"49,945,279",1969
 407 | 405,乌克兰,欧洲,"46,749,283",1969
 408 | 406,越南,亚洲,"42,307,146",1969
 409 | 407,泰国,亚洲,"35,827,092",1969
 410 | 408,菲律宾,亚洲,"34,786,305",1969
 411 | 409,土耳其,欧洲,"34,055,390",1969
 412 | 410,埃及,非洲,"33,703,139",1969
 413 | 411,西班牙,欧洲,"33,441,054",1969
 414 | 412,波兰,欧洲,"32,548,300",1969
 415 | 413,韩国,亚洲,"31,544,266",1969
 416 | 414,伊朗,亚洲,"27,764,924",1969
 417 | 415,埃塞俄比亚,非洲,"27,652,709",1969
 418 | 416,缅甸,亚洲,"26,635,849",1969
 419 | 417,阿根廷,美洲,"23,517,611",1969
 420 | 418,南非,非洲,"21,496,075",1969
 421 | 419,加拿大,美洲,"21,028,000",1969
 422 | 420,哥伦比亚,美洲,"20,942,456",1969
 423 | 421,罗马尼亚,欧洲,"20,009,141",1969
 424 | 422,刚果（金）,非洲,"19,459,816",1969
 425 | 423,摩洛哥,非洲,"15,656,843",1969
 426 | 424,阿尔及利亚,非洲,"14,061,722",1969
 427 | 425,朝鲜,亚洲,"14,010,339",1969
 428 | 426,坦桑尼亚,非洲,"13,120,580",1969
 429 | 427,秘鲁,美洲,"13,092,852",1969
 430 | 428,荷兰,欧洲,"12,877,984",1969
 431 | 429,中国,亚洲,"818,315,000",1970
 432 | 430,印度,亚洲,"555,189,792",1970
 433 | 431,美国,美洲,"205,052,000",1970
 434 | 432,俄罗斯,欧洲,"130,404,000",1970
 435 | 433,印尼,亚洲,"114,793,178",1970
 436 | 434,日本,亚洲,"104,345,000",1970
 437 | 435,巴西,美洲,"95,113,265",1970
 438 | 436,德国,欧洲,"78,169,289",1970
 439 | 437,孟加拉,亚洲,"64,232,482",1970
 440 | 438,巴基斯坦,亚洲,"58,142,060",1970
 441 | 439,尼日利亚,非洲,"55,982,144",1970
 442 | 440,英国,欧洲,"55,663,250",1970
 443 | 441,意大利,欧洲,"53,821,850",1970
 444 | 442,法国,欧洲,"51,957,738",1970
 445 | 443,墨西哥,美洲,"51,493,565",1970
 446 | 444,乌克兰,欧洲,"47,088,857",1970
 447 | 445,越南,亚洲,"43,404,793",1970
 448 | 446,泰国,亚洲,"36,884,536",1970
 449 | 447,菲律宾,亚洲,"35,803,594",1970
 450 | 448,土耳其,欧洲,"34,876,303",1970
 451 | 449,埃及,非洲,"34,513,850",1970
 452 | 450,西班牙,欧洲,"33,814,531",1970
 453 | 451,波兰,欧洲,"32,664,300",1970
 454 | 452,韩国,亚洲,"32,240,827",1970
 455 | 453,伊朗,亚洲,"28,513,866",1970
 456 | 454,埃塞俄比亚,非洲,"28,415,077",1970
 457 | 455,缅甸,亚洲,"27,269,069",1970
 458 | 456,阿根廷,美洲,"23,880,561",1970
 459 | 457,南非,非洲,"22,069,776",1970
 460 | 458,哥伦比亚,美洲,"21,480,065",1970
 461 | 459,加拿大,美洲,"21,324,000",1970
 462 | 460,罗马尼亚,欧洲,"20,250,398",1970
 463 | 461,刚果（金）,非洲,"20,011,036",1970
 464 | 462,摩洛哥,非洲,"16,004,731",1970
 465 | 463,阿尔及利亚,非洲,"14,464,985",1970
 466 | 464,朝鲜,亚洲,"14,410,400",1970
 467 | 465,坦桑尼亚,非洲,"13,535,481",1970
 468 | 466,秘鲁,美洲,"13,459,794",1970
 469 | 467,荷兰,欧洲,"13,038,526",1970
 470 | 468,中国,亚洲,"841,105,000",1971
 471 | 469,印度,亚洲,"567,868,018",1971
 472 | 470,美国,美洲,"207,661,000",1971
 473 | 471,俄罗斯,欧洲,"131,155,000",1971
 474 | 472,印尼,亚洲,"117,880,144",1971
 475 | 473,日本,亚洲,"105,697,000",1971
 476 | 474,巴西,美洲,"97,482,920",1971
 477 | 475,德国,欧洲,"78,312,842",1971
 478 | 476,孟加拉,亚洲,"65,531,633",1971
 479 | 477,巴基斯坦,亚洲,"59,734,481",1971
 480 | 478,尼日利亚,非洲,"57,296,983",1971
 481 | 479,英国,欧洲,"55,896,223",1971
 482 | 480,意大利,欧洲,"54,073,490",1971
 483 | 481,墨西哥,美洲,"53,076,373",1971
 484 | 482,法国,欧洲,"52,371,342",1971
 485 | 483,乌克兰,欧洲,"47,435,010",1971
 486 | 484,越南,亚洲,"44,484,035",1971
 487 | 485,泰国,亚洲,"37,963,278",1971
 488 | 486,菲律宾,亚洲,"36,849,675",1971
 489 | 487,土耳其,欧洲,"35,720,599",1971
 490 | 488,埃及,非洲,"35,311,910",1971
 491 | 489,西班牙,欧洲,"34,224,490",1971
 492 | 490,韩国,亚洲,"32,882,704",1971
 493 | 491,波兰,欧洲,"32,783,500",1971
 494 | 492,伊朗,亚洲,"29,281,591",1971
 495 | 493,埃塞俄比亚,非洲,"29,248,643",1971
 496 | 494,缅甸,亚洲,"27,913,750",1971
 497 | 495,阿根廷,美洲,"24,259,561",1971
 498 | 496,南非,非洲,"22,665,271",1971
 499 | 497,哥伦比亚,美洲,"22,003,980",1971
 500 | 498,加拿大,美洲,"21,962,032",1971
 501 | 499,刚果（金）,非洲,"20,564,067",1971
 502 | 500,罗马尼亚,欧洲,"20,461,567",1971
 503 | 501,摩洛哥,非洲,"16,350,881",1971
 504 | 502,阿尔及利亚,非洲,"14,872,250",1971
 505 | 503,朝鲜,亚洲,"14,809,521",1971
 506 | 504,坦桑尼亚,非洲,"13,971,695",1971
 507 | 505,秘鲁,美洲,"13,836,367",1971
 508 | 506,哈萨克斯坦,亚洲,"13,250,213",1971
 509 | 507,中国,亚洲,"862,030,000",1972
 510 | 508,印度,亚洲,"581,087,256",1972
 511 | 509,美国,美洲,"209,896,000",1972
 512 | 510,俄罗斯,欧洲,"131,909,000",1972
 513 | 511,印尼,亚洲,"121,017,314",1972
 514 | 512,日本,亚洲,"107,188,000",1972
 515 | 513,巴西,美洲,"99,859,383",1972
 516 | 514,德国,欧洲,"78,688,452",1972
 517 | 515,孟加拉,亚洲,"66,625,705",1972
 518 | 516,巴基斯坦,亚洲,"61,381,987",1972
 519 | 517,尼日利亚,非洲,"58,665,808",1972
 520 | 518,英国,欧洲,"56,086,065",1972
 521 | 519,墨西哥,美洲,"54,689,943",1972
 522 | 520,意大利,欧洲,"54,381,345",1972
 523 | 521,法国,欧洲,"52,793,138",1972
 524 | 522,乌克兰,欧洲,"47,783,005",1972
 525 | 523,越南,亚洲,"45,548,479",1972
 526 | 524,泰国,亚洲,"39,058,603",1972
 527 | 525,菲律宾,亚洲,"37,923,396",1972
 528 | 526,土耳其,欧洲,"36,587,261",1972
 529 | 527,埃及,非洲,"36,102,659",1972
 530 | 528,西班牙,欧洲,"34,604,469",1972
 531 | 529,韩国,亚洲,"33,505,406",1972
 532 | 530,波兰,欧洲,"33,055,650",1972
 533 | 531,埃塞俄比亚,非洲,"30,140,804",1972
 534 | 532,伊朗,亚洲,"30,075,297",1972
 535 | 533,缅甸,亚洲,"28,570,097",1972
 536 | 534,阿根廷,美洲,"24,653,175",1972
 537 | 535,南非,非洲,"23,281,508",1972
 538 | 536,哥伦比亚,美洲,"22,516,425",1972
 539 | 537,加拿大,美洲,"22,218,463",1972
 540 | 538,刚果（金）,非洲,"21,121,363",1972
 541 | 539,罗马尼亚,欧洲,"20,657,957",1972
 542 | 540,摩洛哥,非洲,"16,696,891",1972
 543 | 541,阿尔及利亚,非洲,"15,285,990",1972
 544 | 542,朝鲜,亚洲,"15,207,771",1972
 545 | 543,坦桑尼亚,非洲,"14,428,340",1972
 546 | 544,秘鲁,美洲,"14,221,961",1972
 547 | 545,哈萨克斯坦,亚洲,"13,463,985",1972
 548 | 546,中国,亚洲,"881,940,000",1973
 549 | 547,印度,亚洲,"594,770,134",1973
 550 | 548,美国,美洲,"211,909,000",1973
 551 | 549,俄罗斯,欧洲,"132,669,000",1973
 552 | 550,印尼,亚洲,"124,199,687",1973
 553 | 551,日本,亚洲,"108,079,000",1973
 554 | 552,巴西,美洲,"102,259,497",1973
 555 | 553,德国,欧洲,"78,936,666",1973
 556 | 554,孟加拉,亚洲,"67,637,530",1973
 557 | 555,巴基斯坦,亚洲,"63,099,406",1973
 558 | 556,尼日利亚,非洲,"60,114,625",1973
 559 | 557,墨西哥,美洲,"56,324,303",1973
 560 | 558,英国,欧洲,"56,194,527",1973
 561 | 559,意大利,欧洲,"54,751,406",1973
 562 | 560,法国,欧洲,"53,207,734",1973
 563 | 561,乌克兰,欧洲,"48,125,842",1973
 564 | 562,越南,亚洲,"46,603,525",1973
 565 | 563,泰国,亚洲,"40,159,582",1973
 566 | 564,菲律宾,亚洲,"39,022,767",1973
 567 | 565,土耳其,欧洲,"37,472,336",1973
 568 | 566,埃及,非洲,"36,896,554",1973
 569 | 567,西班牙,欧洲,"34,988,947",1973
 570 | 568,韩国,亚洲,"34,103,149",1973
 571 | 569,波兰,欧洲,"33,357,200",1973
 572 | 570,埃塞俄比亚,非洲,"31,036,662",1973
 573 | 571,伊朗,亚洲,"30,905,707",1973
 574 | 572,缅甸,亚洲,"29,238,168",1973
 575 | 573,阿根廷,美洲,"25,056,478",1973
 576 | 574,南非,非洲,"23,913,099",1973
 577 | 575,哥伦比亚,美洲,"23,024,517",1973
 578 | 576,加拿大,美洲,"22,491,777",1973
 579 | 577,刚果（金）,非洲,"21,690,443",1973
 580 | 578,罗马尼亚,欧洲,"20,835,681",1973
 581 | 579,摩洛哥,非洲,"17,048,518",1973
 582 | 580,阿尔及利亚,非洲,"15,709,825",1973
 583 | 581,朝鲜,亚洲,"15,593,351",1973
 584 | 582,坦桑尼亚,非洲,"14,902,263",1973
 585 | 583,秘鲁,美洲,"14,615,845",1973
 586 | 584,哈萨克斯坦,亚洲,"13,673,007",1973
 587 | 585,中国,亚洲,"900,350,000",1974
 588 | 586,印度,亚洲,"608,802,600",1974
 589 | 587,美国,美洲,"213,854,000",1974
 590 | 588,俄罗斯,欧洲,"133,432,000",1974
 591 | 589,印尼,亚洲,"127,422,211",1974
 592 | 590,日本,亚洲,"110,162,000",1974
 593 | 591,巴西,美洲,"104,706,198",1974
 594 | 592,德国,欧洲,"78,967,433",1974
 595 | 593,孟加拉,亚洲,"68,742,233",1974
 596 | 594,巴基斯坦,亚洲,"64,905,998",1974
 597 | 595,尼日利亚,非洲,"61,677,177",1974
 598 | 596,墨西哥,美洲,"57,966,804",1974
 599 | 597,英国,欧洲,"56,229,974",1974
 600 | 598,意大利,欧洲,"55,110,868",1974
 601 | 599,法国,欧洲,"53,592,233",1974
 602 | 600,乌克兰,欧洲,"48,452,626",1974
 603 | 601,越南,亚洲,"47,657,561",1974
 604 | 602,泰国,亚洲,"41,252,324",1974
 605 | 603,菲律宾,亚洲,"40,144,248",1974
 606 | 604,土耳其,欧洲,"38,370,283",1974
 607 | 605,埃及,非洲,"37,708,146",1974
 608 | 606,西班牙,欧洲,"35,373,335",1974
 609 | 607,韩国,亚洲,"34,692,266",1974
 610 | 608,波兰,欧洲,"33,678,899",1974
 611 | 609,埃塞俄比亚,非洲,"31,861,352",1974
 612 | 610,伊朗,亚洲,"31,786,471",1974
 613 | 611,缅甸,亚洲,"29,918,461",1974
 614 | 612,阿根廷,美洲,"25,462,302",1974
 615 | 613,南非,非洲,"24,552,540",1974
 616 | 614,哥伦比亚,美洲,"23,538,386",1974
 617 | 615,加拿大,美洲,"22,807,969",1974
 618 | 616,刚果（金）,非洲,"22,282,136",1974
 619 | 617,罗马尼亚,欧洲,"21,029,429",1974
 620 | 618,摩洛哥,非洲,"17,413,144",1974
 621 | 619,阿尔及利亚,非洲,"16,149,025",1974
 622 | 620,朝鲜,亚洲,"15,952,078",1974
 623 | 621,坦桑尼亚,非洲,"15,388,936",1974
 624 | 622,秘鲁,美洲,"15,017,055",1974
 625 | 623,哈萨克斯坦,亚洲,"13,869,975",1974
 626 | 624,中国,亚洲,"916,395,000",1975
 627 | 625,印度,亚洲,"623,102,897",1975
 628 | 626,美国,美洲,"215,973,000",1975
 629 | 627,俄罗斯,欧洲,"134,200,000",1975
 630 | 628,印尼,亚洲,"130,680,727",1975
 631 | 629,日本,亚洲,"111,940,000",1975
 632 | 630,巴西,美洲,"107,216,205",1975
 633 | 631,德国,欧洲,"78,673,554",1975
 634 | 632,孟加拉,亚洲,"70,066,301",1975
 635 | 633,巴基斯坦,亚洲,"66,816,877",1975
 636 | 634,尼日利亚,非洲,"63,374,298",1975
 637 | 635,墨西哥,美洲,"59,607,953",1975
 638 | 636,英国,欧洲,"56,225,800",1975
 639 | 637,意大利,欧洲,"55,441,001",1975
 640 | 638,法国,欧洲,"53,931,390",1975
 641 | 639,乌克兰,欧洲,"48,755,665",1975
 642 | 640,越南,亚洲,"48,718,189",1975
 643 | 641,泰国,亚洲,"42,326,312",1975
 644 | 642,菲律宾,亚洲,"41,285,742",1975
 645 | 643,土耳其,欧洲,"39,277,258",1975
 646 | 644,埃及,非洲,"38,549,142",1975
 647 | 645,西班牙,欧洲,"35,757,900",1975
 648 | 646,韩国,亚洲,"35,280,725",1975
 649 | 647,波兰,欧洲,"34,015,199",1975
 650 | 648,伊朗,亚洲,"32,729,772",1975
 651 | 649,埃塞俄比亚,非洲,"32,566,854",1975
 652 | 650,缅甸,亚洲,"30,611,095",1975
 653 | 651,阿根廷,美洲,"25,865,776",1975
 654 | 652,南非,非洲,"25,195,187",1975
 655 | 653,哥伦比亚,美洲,"24,065,507",1975
 656 | 654,加拿大,美洲,"23,143,275",1975
 657 | 655,刚果（金）,非洲,"22,903,581",1975
 658 | 656,罗马尼亚,欧洲,"21,293,583",1975
 659 | 657,摩洛哥,非洲,"17,796,164",1975
 660 | 658,阿尔及利亚,非洲,"16,607,707",1975
 661 | 659,朝鲜,亚洲,"16,274,740",1975
 662 | 660,坦桑尼亚,非洲,"15,885,229",1975
 663 | 661,秘鲁,美洲,"15,424,744",1975
 664 | 662,哈萨克斯坦,亚洲,"14,050,226",1975
 665 | 663,中国,亚洲,"930,685,000",1976
 666 | 664,印度,亚洲,"637,630,087",1976
 667 | 665,美国,美洲,"218,035,000",1976
 668 | 666,俄罗斯,欧洲,"135,147,000",1976
 669 | 667,印尼,亚洲,"133,966,941",1976
 670 | 668,日本,亚洲,"112,771,000",1976
 671 | 669,巴西,美洲,"109,790,938",1976
 672 | 670,德国,欧洲,"78,336,950",1976
 673 | 671,孟加拉,亚洲,"71,652,381",1976
 674 | 672,巴基斯坦,亚洲,"68,834,326",1976
 675 | 673,尼日利亚,非洲,"65,221,378",1976
 676 | 674,墨西哥,美洲,"61,242,190",1976
 677 | 675,英国,欧洲,"56,211,968",1976
 678 | 676,意大利,欧洲,"55,718,260",1976
 679 | 677,法国,欧洲,"54,220,022",1976
 680 | 678,越南,亚洲,"49,785,282",1976
 681 | 679,乌克兰,欧洲,"49,032,729",1976
 682 | 680,泰国,亚洲,"43,377,271",1976
 683 | 681,菲律宾,亚洲,"42,446,653",1976
 684 | 682,土耳其,欧洲,"40,189,567",1976
 685 | 683,埃及,非洲,"39,422,730",1976
 686 | 684,西班牙,欧洲,"36,137,812",1976
 687 | 685,韩国,亚洲,"35,848,523",1976
 688 | 686,波兰,欧洲,"34,356,300",1976
 689 | 687,伊朗,亚洲,"33,733,961",1976
 690 | 688,埃塞俄比亚,非洲,"33,128,149",1976
 691 | 689,缅甸,亚洲,"31,314,341",1976
 692 | 690,阿根廷,美洲,"26,264,681",1976
 693 | 691,南非,非洲,"25,836,888",1976
 694 | 692,哥伦比亚,美洲,"24,608,113",1976
 695 | 693,刚果（金）,非洲,"23,560,464",1976
 696 | 694,加拿大,美洲,"23,449,808",1976
 697 | 695,罗马尼亚,欧洲,"21,551,634",1976
 698 | 696,摩洛哥,非洲,"18,198,844",1976
 699 | 697,阿尔及利亚,非洲,"17,085,801",1976
 700 | 698,朝鲜,亚洲,"16,554,746",1976
 701 | 699,坦桑尼亚,非洲,"16,390,159",1976
 702 | 700,秘鲁,美洲,"15,838,572",1976
 703 | 701,乌兹别克斯坦,亚洲,"14,242,769",1976
 704 | 702,中国,亚洲,"943,455,000",1977
 705 | 703,印度,亚洲,"652,408,776",1977
 706 | 704,美国,美洲,"220,239,000",1977
 707 | 705,印尼,亚洲,"137,278,058",1977
 708 | 706,俄罗斯,欧洲,"136,100,000",1977
 709 | 707,日本,亚洲,"113,863,000",1977
 710 | 708,巴西,美洲,"112,425,392",1977
 711 | 709,德国,欧洲,"78,159,814",1977
 712 | 710,孟加拉,亚洲,"73,463,584",1977
 713 | 711,巴基斯坦,亚洲,"70,958,169",1977
 714 | 712,尼日利亚,非洲,"67,203,128",1977
 715 | 713,墨西哥,美洲,"62,869,903",1977
 716 | 714,英国,欧洲,"56,193,492",1977
 717 | 715,意大利,欧洲,"55,955,411",1977
 718 | 716,法国,欧洲,"54,467,702",1977
 719 | 717,越南,亚洲,"50,861,162",1977
 720 | 718,乌克兰,欧洲,"49,287,127",1977
 721 | 719,泰国,亚洲,"44,405,904",1977
 722 | 720,菲律宾,亚洲,"43,629,412",1977
 723 | 721,土耳其,欧洲,"41,108,297",1977
 724 | 722,埃及,非洲,"40,329,589",1977
 725 | 723,西班牙,欧洲,"36,511,638",1977
 726 | 724,韩国,亚洲,"36,411,795",1977
 727 | 725,伊朗,亚洲,"34,803,045",1977
 728 | 726,波兰,欧洲,"34,689,050",1977
 729 | 727,埃塞俄比亚,非洲,"33,577,242",1977
 730 | 728,缅甸,亚洲,"32,026,742",1977
 731 | 729,阿根廷,美洲,"26,661,398",1977
 732 | 730,南非,非洲,"26,480,913",1977
 733 | 731,哥伦比亚,美洲,"25,164,545",1977
 734 | 732,刚果（金）,非洲,"24,249,130",1977
 735 | 733,加拿大,美洲,"23,725,843",1977
 736 | 734,罗马尼亚,欧洲,"21,756,096",1977
 737 | 735,摩洛哥,非洲,"18,620,093",1977
 738 | 736,阿尔及利亚,非洲,"17,582,904",1977
 739 | 737,坦桑尼亚,非洲,"16,905,214",1977
 740 | 738,朝鲜,亚洲,"16,796,578",1977
 741 | 739,秘鲁,美洲,"16,258,321",1977
 742 | 740,乌兹别克斯坦,亚洲,"14,643,875",1977
 743 | 741,中国,亚洲,"956,165,000",1978
 744 | 742,印度,亚洲,"667,499,806",1978
 745 | 743,美国,美洲,"222,585,000",1978
 746 | 744,印尼,亚洲,"140,621,730",1978
 747 | 745,俄罗斯,欧洲,"137,060,000",1978
 748 | 746,巴西,美洲,"115,121,153",1978
 749 | 747,日本,亚洲,"114,898,000",1978
 750 | 748,德国,欧洲,"78,091,820",1978
 751 | 749,孟加拉,亚洲,"75,450,032",1978
 752 | 750,巴基斯坦,亚洲,"73,197,258",1978
 753 | 751,尼日利亚,非洲,"69,271,917",1978
 754 | 752,墨西哥,美洲,"64,494,869",1978
 755 | 753,英国,欧洲,"56,196,504",1978
 756 | 754,意大利,欧洲,"56,155,143",1978
 757 | 755,法国,欧洲,"54,691,851",1978
 758 | 756,越南,亚洲,"51,959,015",1978
 759 | 757,乌克兰,欧洲,"49,523,314",1978
 760 | 758,泰国,亚洲,"45,413,080",1978
 761 | 759,菲律宾,亚洲,"44,838,483",1978
 762 | 760,土耳其,欧洲,"42,039,992",1978
 763 | 761,埃及,非洲,"41,275,736",1978
 764 | 762,韩国,亚洲,"36,969,185",1978
 765 | 763,西班牙,欧洲,"36,864,898",1978
 766 | 764,伊朗,亚洲,"35,960,805",1978
 767 | 765,波兰,欧洲,"34,965,600",1978
 768 | 766,埃塞俄比亚,非洲,"33,993,301",1978
 769 | 767,缅甸,亚洲,"32,748,784",1978
 770 | 768,南非,非洲,"27,138,965",1978
 771 | 769,阿根廷,美洲,"27,061,047",1978
 772 | 770,哥伦比亚,美洲,"25,733,673",1978
 773 | 771,刚果（金）,非洲,"24,956,385",1978
 774 | 772,加拿大,美洲,"23,963,203",1978
 775 | 773,罗马尼亚,欧洲,"21,951,464",1978
 776 | 774,摩洛哥,非洲,"19,059,770",1978
 777 | 775,阿尔及利亚,非洲,"18,102,266",1978
 778 | 776,坦桑尼亚,非洲,"17,432,757",1978
 779 | 777,朝鲜,亚洲,"17,015,983",1978
 780 | 778,秘鲁,美洲,"16,683,456",1978
 781 | 779,肯尼亚,非洲,"15,205,374",1978
 782 | 780,中国,亚洲,"969,005,000",1979
 783 | 781,印度,亚洲,"682,995,354",1979
 784 | 782,美国,美洲,"225,055,000",1979
 785 | 783,印尼,亚洲,"144,009,845",1979
 786 | 784,俄罗斯,欧洲,"138,027,000",1979
 787 | 785,巴西,美洲,"117,878,411",1979
 788 | 786,日本,亚洲,"115,870,000",1979
 789 | 787,德国,欧洲,"78,126,350",1979
 790 | 788,孟加拉,亚洲,"77,529,045",1979
 791 | 789,巴基斯坦,亚洲,"75,561,131",1979
 792 | 790,尼日利亚,非洲,"71,361,131",1979
 793 | 791,墨西哥,美洲,"66,123,897",1979
 794 | 792,意大利,欧洲,"56,317,749",1979
 795 | 793,英国,欧洲,"56,246,951",1979
 796 | 794,法国,欧洲,"54,917,118",1979
 797 | 795,越南,亚洲,"53,095,408",1979
 798 | 796,乌克兰,欧洲,"49,747,989",1979
 799 | 797,泰国,亚洲,"46,401,754",1979
 800 | 798,菲律宾,亚洲,"46,079,850",1979
 801 | 799,土耳其,欧洲,"42,994,041",1979
 802 | 800,埃及,非洲,"42,267,435",1979
 803 | 801,韩国,亚洲,"37,534,236",1979
 804 | 802,伊朗,亚洲,"37,237,137",1979
 805 | 803,西班牙,欧洲,"37,191,330",1979
 806 | 804,波兰,欧洲,"35,247,217",1979
 807 | 805,埃塞俄比亚,非洲,"34,487,799",1979
 808 | 806,缅甸,亚洲,"33,481,396",1979
 809 | 807,南非,非洲,"27,827,320",1979
 810 | 808,阿根廷,美洲,"27,471,036",1979
 811 | 809,哥伦比亚,美洲,"26,312,994",1979
 812 | 810,刚果（金）,非洲,"25,663,592",1979
 813 | 811,加拿大,美洲,"24,201,544",1979
 814 | 812,罗马尼亚,欧洲,"22,090,488",1979
 815 | 813,摩洛哥,非洲,"19,516,942",1979
 816 | 814,阿尔及利亚,非洲,"18,647,815",1979
 817 | 815,坦桑尼亚,非洲,"17,976,222",1979
 818 | 816,朝鲜,亚洲,"17,235,666",1979
 819 | 817,秘鲁,美洲,"17,113,388",1979
 820 | 818,肯尼亚,非洲,"15,797,776",1979
 821 | 819,中国,亚洲,"981,235,000",1980
 822 | 820,印度,亚洲,"698,952,844",1980
 823 | 821,美国,美洲,"227,225,000",1980
 824 | 822,印尼,亚洲,"147,447,836",1980
 825 | 823,俄罗斯,欧洲,"139,010,000",1980
 826 | 824,巴西,美洲,"120,694,009",1980
 827 | 825,日本,亚洲,"116,782,000",1980
 828 | 826,孟加拉,亚洲,"79,639,491",1980
 829 | 827,德国,欧洲,"78,288,576",1980
 830 | 828,巴基斯坦,亚洲,"78,054,343",1980
 831 | 829,尼日利亚,非洲,"73,423,633",1980
 832 | 830,墨西哥,美洲,"67,761,372",1980
 833 | 831,意大利,欧洲,"56,433,883",1980
 834 | 832,英国,欧洲,"56,314,216",1980
 835 | 833,法国,欧洲,"55,161,527",1980
 836 | 834,越南,亚洲,"54,281,846",1980
 837 | 835,乌克兰,欧洲,"49,965,874",1980
 838 | 836,泰国,亚洲,"47,374,472",1980
 839 | 837,菲律宾,亚洲,"47,357,743",1980
 840 | 838,土耳其,欧洲,"43,975,971",1980
 841 | 839,埃及,非洲,"43,309,063",1980
 842 | 840,伊朗,亚洲,"38,650,246",1980
 843 | 841,韩国,亚洲,"38,123,775",1980
 844 | 842,西班牙,欧洲,"37,491,165",1980
 845 | 843,波兰,欧洲,"35,574,150",1980
 846 | 844,埃塞俄比亚,非洲,"35,141,712",1980
 847 | 845,缅甸,亚洲,"34,224,313",1980
 848 | 846,南非,非洲,"28,556,769",1980
 849 | 847,阿根廷,美洲,"27,896,528",1980
 850 | 848,哥伦比亚,美洲,"26,900,506",1980
 851 | 849,刚果（金）,非洲,"26,358,908",1980
 852 | 850,加拿大,美洲,"24,515,667",1980
 853 | 851,罗马尼亚,欧洲,"22,242,653",1980
 854 | 852,摩洛哥,非洲,"19,990,012",1980
 855 | 853,阿尔及利亚,非洲,"19,221,665",1980
 856 | 854,坦桑尼亚,非洲,"18,538,259",1980
 857 | 855,秘鲁,美洲,"17,547,610",1980
 858 | 856,朝鲜,亚洲,"17,472,140",1980
 859 | 857,肯尼亚,非洲,"16,417,197",1980
 860 | 858,中国,亚洲,"993,885,000",1981
 861 | 859,印度,亚洲,"715,384,993",1981
 862 | 860,美国,美洲,"229,466,000",1981
 863 | 861,印尼,亚洲,"150,938,232",1981
 864 | 862,俄罗斯,欧洲,"139,941,000",1981
 865 | 863,巴西,美洲,"123,570,327",1981
 866 | 864,日本,亚洲,"117,648,000",1981
 867 | 865,孟加拉,亚洲,"81,767,515",1981
 868 | 866,巴基斯坦,亚洲,"80,680,459",1981
 869 | 867,德国,欧洲,"78,407,907",1981
 870 | 868,尼日利亚,非洲,"75,440,502",1981
 871 | 869,墨西哥,美洲,"69,407,624",1981
 872 | 870,意大利,欧洲,"56,501,675",1981
 873 | 871,英国,欧洲,"56,333,829",1981
 874 | 872,越南,亚洲,"55,522,803",1981
 875 | 873,法国,欧洲,"55,430,296",1981
 876 | 874,乌克兰,欧洲,"50,221,000",1981
 877 | 875,菲律宾,亚洲,"48,672,838",1981
 878 | 876,泰国,亚洲,"48,326,274",1981
 879 | 877,土耳其,欧洲,"44,988,414",1981
 880 | 878,埃及,非洲,"44,400,113",1981
 881 | 879,伊朗,亚洲,"40,199,906",1981
 882 | 880,韩国,亚洲,"38,723,248",1981
 883 | 881,西班牙,欧洲,"37,758,631",1981
 884 | 882,埃塞俄比亚,非洲,"35,984,528",1981
 885 | 883,波兰,欧洲,"35,898,587",1981
 886 | 884,缅甸,亚洲,"34,976,462",1981
 887 | 885,南非,非洲,"29,333,103",1981
 888 | 886,阿根廷,美洲,"28,338,515",1981
 889 | 887,哥伦比亚,美洲,"27,496,617",1981
 890 | 888,刚果（金）,非洲,"27,040,322",1981
 891 | 889,加拿大,美洲,"24,819,915",1981
 892 | 890,罗马尼亚,欧洲,"22,415,169",1981
 893 | 891,摩洛哥,非洲,"20,479,715",1981
 894 | 892,阿尔及利亚,非洲,"19,824,301",1981
 895 | 893,坦桑尼亚,非洲,"19,120,680",1981
 896 | 894,秘鲁,美洲,"17,985,393",1981
 897 | 895,朝鲜,亚洲,"17,731,230",1981
 898 | 896,肯尼亚,非洲,"17,063,876",1981
 899 | 897,中国,亚洲,"1,008,630,000",1982
 900 | 898,印度,亚洲,"732,239,504",1982
 901 | 900,美国,美洲,"231,664,000",1982
 902 | 901,印尼,亚洲,"154,506,265",1982
 903 | 903,俄罗斯,欧洲,"140,823,000",1982
 904 | 904,巴西,美洲,"126,947,365",1982
 905 | 906,日本,亚洲,"118,449,000",1982
 906 | 907,孟加拉,亚洲,"86,007,331",1982
 907 | 909,巴基斯坦,亚洲,"83,445,863",1982
 908 | 911,德国,欧洲,"78,333,366",1982
 909 | 912,尼日利亚,非洲,"77,472,907",1982
 910 | 914,墨西哥,美洲,"72,602,533",1982
 911 | 917,越南,亚洲,"56,814,306",1982
 912 | 918,意大利,欧洲,"56,543,548",1982
 913 | 919,英国,欧洲,"56,313,641",1982
 914 | 920,法国,欧洲,"55,858,727",1982
 915 | 922,乌克兰,欧洲,"50,384,000",1982
 916 | 923,菲律宾,亚洲,"50,068,493",1982
 917 | 925,泰国,亚洲,"49,267,560",1982
 918 | 927,埃及,非洲,"46,379,620",1982
 919 | 928,土耳其,欧洲,"46,025,411",1982
 920 | 930,埃及,非洲,"45,539,296",1982
 921 | 931,伊朗,亚洲,"41,883,332",1982
 922 | 933,韩国,亚洲,"39,326,352",1982
 923 | 934,西班牙,欧洲,"37,986,012",1982
 924 | 935,埃塞俄比亚,非洲,"37,136,848",1982
 925 | 936,中国,亚洲,"1,023,310,000",1983
 926 | 937,印度,亚洲,"749,428,958",1983
 927 | 938,美国,美洲,"233,792,000",1983
 928 | 939,印尼,亚洲,"158,009,246",1983
 929 | 940,俄罗斯,欧洲,"141,668,000",1983
 930 | 941,巴西,美洲,"129,448,819",1983
 931 | 942,日本,亚洲,"119,259,000",1983
 932 | 943,巴基斯坦,亚洲,"86,285,935",1983
 933 | 944,孟加拉,亚洲,"86,142,495",1983
 934 | 945,尼日利亚,非洲,"79,414,840",1983
 935 | 946,德国,欧洲,"78,128,282",1983
 936 | 947,墨西哥,美洲,"72,709,299",1983
 937 | 948,越南,亚洲,"58,148,384",1983
 938 | 949,意大利,欧洲,"56,564,074",1983
 939 | 950,英国,欧洲,"56,332,848",1983
 940 | 951,法国,欧洲,"56,023,770",1983
 941 | 952,菲律宾,亚洲,"51,408,912",1983
 942 | 953,乌克兰,欧洲,"50,564,000",1983
 943 | 954,泰国,亚洲,"50,173,924",1983
 944 | 955,土耳其,欧洲,"47,073,472",1983
 945 | 956,埃及,非洲,"46,728,286",1983
 946 | 957,伊朗,亚洲,"43,636,837",1983
 947 | 958,韩国,亚洲,"39,910,403",1983
 948 | 959,西班牙,欧洲,"38,171,525",1983
 949 | 960,埃塞俄比亚,非洲,"38,142,674",1983
 950 | 961,波兰,欧洲,"36,571,808",1983
 951 | 962,缅甸,亚洲,"36,491,800",1983
 952 | 963,南非,非洲,"30,993,758",1983
 953 | 964,阿根廷,美洲,"29,262,047",1983
 954 | 965,哥伦比亚,美洲,"28,714,190",1983
 955 | 966,刚果（金）,非洲,"28,403,851",1983
 956 | 967,加拿大,美洲,"25,366,451",1983
 957 | 968,罗马尼亚,欧洲,"22,588,790",1983
 958 | 969,摩洛哥,非洲,"21,495,086",1983
 959 | 970,阿尔及利亚,非洲,"21,101,875",1983
 960 | 971,坦桑尼亚,非洲,"20,344,547",1983
 961 | 972,秘鲁,美洲,"18,870,993",1983
 962 | 973,肯尼亚,非洲,"18,431,761",1983
 963 | 974,朝鲜,亚洲,"18,298,214",1983
 964 | 975,中国,亚洲,"1,036,825,000",1984
 965 | 976,印度,亚洲,"766,833,410",1984
 966 | 977,美国,美洲,"235,825,000",1984
 967 | 978,印尼,亚洲,"161,523,347",1984
 968 | 979,俄罗斯,欧洲,"142,745,000",1984
 969 | 980,巴西,美洲,"132,383,568",1984
 970 | 981,日本,亚洲,"120,018,000",1984
 971 | 982,巴基斯坦,亚洲,"89,213,706",1984
 972 | 983,孟加拉,亚洲,"88,416,521",1984
 973 | 984,尼日利亚,非洲,"81,448,755",1984
 974 | 985,德国,欧洲,"77,858,685",1984
 975 | 986,墨西哥,美洲,"74,352,631",1984
 976 | 987,越南,亚洲,"59,512,619",1984
 977 | 988,意大利,欧洲,"56,576,718",1984
 978 | 989,英国,欧洲,"56,422,072",1984
 979 | 990,法国,欧洲,"56,337,666",1984
 980 | 991,菲律宾,亚洲,"52,827,040",1984
 981 | 992,泰国,亚洲,"51,094,868",1984
 982 | 993,乌克兰,欧洲,"50,754,000",1984
 983 | 994,土耳其,欧洲,"48,114,155",1984
 984 | 995,埃及,非洲,"47,968,642",1984
 985 | 996,伊朗,亚洲,"45,472,791",1984
 986 | 997,韩国,亚洲,"40,405,956",1984
 987 | 998,埃塞俄比亚,非洲,"39,374,348",1984
 988 | 999,西班牙,欧洲,"38,330,364",1984
 989 | 1000,缅甸,亚洲,"37,241,527",1984
 990 | 1001,波兰,欧洲,"36,904,134",1984
 991 | 1002,南非,非洲,"31,841,593",1984
 992 | 1003,阿根廷,美洲,"29,737,093",1984
 993 | 1004,哥伦比亚,美洲,"29,331,238",1984
 994 | 1005,刚果（金）,非洲,"29,119,673",1984
 995 | 1006,加拿大,美洲,"25,607,053",1984
 996 | 1007,罗马尼亚,欧洲,"22,655,940",1984
 997 | 1008,摩洛哥,非洲,"22,002,643",1984
 998 | 1009,阿尔及利亚,非洲,"21,763,575",1984
 999 | 1010,坦桑尼亚,非洲,"20,981,776",1984
1000 | 1011,秘鲁,美洲,"19,319,746",1984
1001 | 1012,肯尼亚,非洲,"19,146,400",1984
1002 | 1013,朝鲜,亚洲,"18,590,138",1984
1003 | 1014,中国,亚洲,"1,051,040,000",1985
1004 | 1015,印度,亚洲,"784,360,008",1985
1005 | 1016,美国,美洲,"237,924,000",1985
1006 | 1017,印尼,亚洲,"164,982,451",1985
1007 | 1018,俄罗斯,欧洲,"143,858,000",1985
1008 | 1019,巴西,美洲,"135,274,080",1985
1009 | 1020,日本,亚洲,"120,754,000",1985
1010 | 1021,巴基斯坦,亚洲,"92,191,510",1985
1011 | 1022,孟加拉,亚洲,"90,764,183",1985
1012 | 1023,尼日利亚,非洲,"83,562,785",1985
1013 | 1024,德国,欧洲,"77,684,873",1985
1014 | 1025,墨西哥,美洲,"75,983,485",1985
1015 | 1026,越南,亚洲,"60,896,721",1985
1016 | 1027,法国,欧洲,"56,654,696",1985
1017 | 1028,意大利,欧洲,"56,593,071",1985
1018 | 1029,英国,欧洲,"56,550,268",1985
1019 | 1030,菲律宾,亚洲,"54,275,822",1985
1020 | 1031,泰国,亚洲,"52,026,901",1985
1021 | 1032,乌克兰,欧洲,"50,917,000",1985
1022 | 1033,埃及,非洲,"49,258,732",1985
1023 | 1034,土耳其,欧洲,"49,133,937",1985
1024 | 1035,伊朗,亚洲,"47,347,186",1985
1025 | 1036,韩国,亚洲,"40,805,744",1985
1026 | 1037,埃塞俄比亚,非洲,"40,652,141",1985
1027 | 1038,西班牙,欧洲,"38,469,512",1985
1028 | 1039,缅甸,亚洲,"37,977,086",1985
1029 | 1040,波兰,欧洲,"37,201,885",1985
1030 | 1041,南非,非洲,"32,678,874",1985
1031 | 1042,阿根廷,美洲,"30,216,279",1985
1032 | 1043,哥伦比亚,美洲,"29,951,201",1985
1033 | 1044,刚果（金）,非洲,"29,881,229",1985
1034 | 1045,加拿大,美洲,"25,842,116",1985
1035 | 1046,罗马尼亚,欧洲,"22,755,427",1985
1036 | 1047,摩洛哥,非洲,"22,499,110",1985
1037 | 1048,阿尔及利亚,非洲,"22,431,502",1985
1038 | 1049,坦桑尼亚,非洲,"21,633,796",1985
1039 | 1050,肯尼亚,非洲,"19,877,083",1985
1040 | 1051,秘鲁,美洲,"19,772,872",1985
1041 | 1052,朝鲜,亚洲,"18,877,238",1985
1042 | 1053,中国,亚洲,"1,066,790,000",1986
1043 | 1054,印度,亚洲,"801,975,244",1986
1044 | 1055,美国,美洲,"240,133,000",1986
1045 | 1056,印尼,亚洲,"168,374,287",1986
1046 | 1057,俄罗斯,欧洲,"144,894,000",1986
1047 | 1058,巴西,美洲,"138,108,912",1986
1048 | 1059,日本,亚洲,"121,492,000",1986
1049 | 1060,巴基斯坦,亚洲,"95,215,378",1986
1050 | 1061,孟加拉,亚洲,"93,187,603",1986
1051 | 1062,尼日利亚,非洲,"85,766,399",1986
1052 | 1063,德国,欧洲,"77,720,436",1986
1053 | 1064,墨西哥,美洲,"77,599,098",1986
1054 | 1065,越南,亚洲,"62,293,856",1986
1055 | 1066,法国,欧洲,"56,976,123",1986
1056 | 1067,英国,欧洲,"56,681,396",1986
1057 | 1068,意大利,欧洲,"56,596,155",1986
1058 | 1069,菲律宾,亚洲,"55,755,355",1986
1059 | 1070,泰国,亚洲,"52,980,094",1986
1060 | 1071,乌克兰,欧洲,"51,097,000",1986
1061 | 1072,埃及,非洲,"50,602,354",1986
1062 | 1073,土耳其,欧洲,"50,128,541",1986
1063 | 1074,伊朗,亚洲,"49,260,255",1986
1064 | 1075,埃塞俄比亚,非洲,"41,965,693",1986
1065 | 1076,韩国,亚洲,"41,213,674",1986
1066 | 1077,缅甸,亚洲,"38,698,482",1986
1067 | 1078,西班牙,欧洲,"38,584,624",1986
1068 | 1079,波兰,欧洲,"37,456,119",1986
1069 | 1080,南非,非洲,"33,495,953",1986
1070 | 1081,阿根廷,美洲,"30,698,964",1986
1071 | 1082,刚果（金）,非洲,"30,683,869",1986
1072 | 1083,哥伦比亚,美洲,"30,572,478",1986
1073 | 1084,加拿大,美洲,"26,100,278",1986
1074 | 1085,阿尔及利亚,非洲,"23,102,389",1986
1075 | 1086,摩洛哥,非洲,"22,980,335",1986
1076 | 1087,罗马尼亚,欧洲,"22,859,269",1986
1077 | 1088,坦桑尼亚,非洲,"22,296,286",1986
1078 | 1089,肯尼亚,非洲,"20,622,560",1986
1079 | 1090,秘鲁,美洲,"20,230,384",1986
1080 | 1091,朝鲜,亚洲,"19,156,795",1986
1081 | 1092,中国,亚洲,"1,084,035,000",1987
1082 | 1093,印度,亚洲,"819,682,102",1987
1083 | 1094,美国,美洲,"242,289,000",1987
1084 | 1095,印尼,亚洲,"171,702,763",1987
1085 | 1096,俄罗斯,欧洲,"145,908,000",1987
1086 | 1097,巴西,美洲,"140,891,602",1987
1087 | 1098,日本,亚洲,"122,091,000",1987
1088 | 1099,巴基斯坦,亚洲,"98,285,755",1987
1089 | 1100,孟加拉,亚洲,"95,671,163",1987
1090 | 1101,尼日利亚,非洲,"88,048,032",1987
1091 | 1102,墨西哥,美洲,"79,200,081",1987
1092 | 1103,德国,欧洲,"77,839,920",1987
1093 | 1104,越南,亚洲,"63,701,972",1987
1094 | 1105,法国,欧洲,"57,302,663",1987
1095 | 1106,菲律宾,亚洲,"57,263,836",1987
1096 | 1107,英国,欧洲,"56,802,050",1987
1097 | 1108,意大利,欧洲,"56,601,931",1987
1098 | 1109,泰国,亚洲,"53,945,881",1987
1099 | 1110,埃及,非洲,"51,991,700",1987
1100 | 1111,乌克兰,欧洲,"51,293,000",1987
1101 | 1112,伊朗,亚洲,"51,193,782",1987
1102 | 1113,土耳其,欧洲,"51,100,924",1987
1103 | 1114,埃塞俄比亚,非洲,"43,329,231",1987
1104 | 1115,韩国,亚洲,"41,621,690",1987
1105 | 1116,缅甸,亚洲,"39,404,335",1987
1106 | 1117,西班牙,欧洲,"38,684,815",1987
1107 | 1118,波兰,欧洲,"37,668,045",1987
1108 | 1119,南非,非洲,"34,297,727",1987
1109 | 1120,刚果（金）,非洲,"31,528,708",1987
1110 | 1121,哥伦比亚,美洲,"31,195,413",1987
1111 | 1122,阿根廷,美洲,"31,184,415",1987
1112 | 1123,加拿大,美洲,"26,446,601",1987
1113 | 1124,阿尔及利亚,非洲,"23,774,284",1987
1114 | 1125,摩洛哥,非洲,"23,447,252",1987
1115 | 1126,坦桑尼亚,非洲,"22,971,200",1987
1116 | 1127,罗马尼亚,欧洲,"22,949,430",1987
1117 | 1128,肯尼亚,非洲,"21,382,112",1987
1118 | 1129,秘鲁,美洲,"20,691,283",1987
1119 | 1130,朝鲜,亚洲,"19,431,986",1987
1120 | 1131,中国,亚洲,"1,101,630,000",1988
1121 | 1132,印度,亚洲,"837,468,930",1988
1122 | 1133,美国,美洲,"244,499,000",1988
1123 | 1134,印尼,亚洲,"174,975,954",1988
1124 | 1135,俄罗斯,欧洲,"146,857,000",1988
1125 | 1136,巴西,美洲,"143,627,503",1988
1126 | 1137,日本,亚洲,"122,613,000",1988
1127 | 1138,巴基斯坦,亚洲,"101,389,603",1988
1128 | 1139,孟加拉,亚洲,"98,186,350",1988
1129 | 1140,尼日利亚,非洲,"90,395,271",1988
1130 | 1141,墨西哥,美洲,"80,788,721",1988
1131 | 1142,德国,欧洲,"78,144,619",1988
1132 | 1143,越南,亚洲,"65,120,439",1988
1133 | 1144,菲律宾,亚洲,"58,795,001",1988
1134 | 1145,法国,欧洲,"57,627,105",1988
1135 | 1146,英国,欧洲,"56,928,327",1988
1136 | 1147,意大利,欧洲,"56,629,288",1988
1137 | 1148,泰国,亚洲,"54,891,520",1988
1138 | 1149,埃及,非洲,"53,399,246",1988
1139 | 1150,伊朗,亚洲,"53,077,313",1988
1140 | 1151,土耳其,欧洲,"52,053,765",1988
1141 | 1152,乌克兰,欧洲,"51,521,000",1988
1142 | 1153,埃塞俄比亚,非洲,"44,757,203",1988
1143 | 1154,韩国,亚洲,"42,031,247",1988
1144 | 1155,缅甸,亚洲,"40,085,651",1988
1145 | 1156,西班牙,欧洲,"38,766,939",1988
1146 | 1157,波兰,欧洲,"37,824,487",1988
1147 | 1158,南非,非洲,"35,100,909",1988
1148 | 1159,刚果（金）,非洲,"32,443,781",1988
1149 | 1160,哥伦比亚,美洲,"31,822,525",1988
1150 | 1161,阿根廷,美洲,"31,668,949",1988
1151 | 1162,加拿大,美洲,"26,791,747",1988
1152 | 1163,阿尔及利亚,非洲,"24,443,467",1988
1153 | 1164,摩洛哥,非洲,"23,903,592",1988
1154 | 1165,坦桑尼亚,非洲,"23,670,808",1988
1155 | 1166,罗马尼亚,欧洲,"23,057,662",1988
1156 | 1167,肯尼亚,非洲,"22,153,676",1988
1157 | 1168,秘鲁,美洲,"21,153,459",1988
1158 | 1169,朝鲜,亚洲,"19,708,323",1988
1159 | 1170,中国,亚洲,"1,118,650,000",1989
1160 | 1171,印度,亚洲,"855,334,678",1989
1161 | 1172,美国,美洲,"246,819,000",1989
1162 | 1173,印尼,亚洲,"178,209,150",1989
1163 | 1174,俄罗斯,欧洲,"147,721,000",1989
1164 | 1175,巴西,美洲,"146,328,304",1989
1165 | 1176,日本,亚洲,"123,116,000",1989
1166 | 1177,巴基斯坦,亚洲,"104,512,881",1989
1167 | 1178,孟加拉,亚洲,"100,695,497",1989
1168 | 1179,尼日利亚,非洲,"92,788,027",1989
1169 | 1180,墨西哥,美洲,"82,368,931",1989
1170 | 1181,德国,欧洲,"78,751,283",1989
1171 | 1182,越南,亚洲,"66,550,234",1989
1172 | 1183,菲律宾,亚洲,"60,340,767",1989
1173 | 1184,法国,欧洲,"57,940,212",1989
1174 | 1185,英国,欧洲,"57,076,711",1989
1175 | 1186,意大利,欧洲,"56,671,781",1989
1176 | 1187,泰国,亚洲,"55,772,169",1989
1177 | 1188,伊朗,亚洲,"54,822,003",1989
1178 | 1189,埃及,非洲,"54,788,685",1989
1179 | 1190,土耳其,欧洲,"52,992,487",1989
1180 | 1191,乌克兰,欧洲,"51,773,000",1989
1181 | 1192,埃塞俄比亚,非洲,"46,272,299",1989
1182 | 1193,韩国,亚洲,"42,449,038",1989
1183 | 1194,缅甸,亚洲,"40,731,426",1989
1184 | 1195,西班牙,欧洲,"38,827,764",1989
1185 | 1196,波兰,欧洲,"37,961,529",1989
1186 | 1197,南非,非洲,"35,930,050",1989
1187 | 1198,刚果（金）,非洲,"33,464,765",1989
1188 | 1199,哥伦比亚,美洲,"32,457,499",1989
1189 | 1200,阿根廷,美洲,"32,148,134",1989
1190 | 1201,加拿大,美洲,"27,276,781",1989
1191 | 1202,阿尔及利亚,非洲,"25,106,190",1989
1192 | 1203,坦桑尼亚,非洲,"24,411,738",1989
1193 | 1204,摩洛哥,非洲,"24,355,619",1989
1194 | 1205,罗马尼亚,欧洲,"23,161,458",1989
1195 | 1206,肯尼亚,非洲,"22,935,092",1989
1196 | 1207,秘鲁,美洲,"21,614,193",1989
1197 | 1208,朝鲜,亚洲,"19,993,755",1989
1198 | 1209,中国,亚洲,"1,135,185,000",1990
1199 | 1210,印度,亚洲,"873,277,798",1990
1200 | 1211,美国,美洲,"249,623,000",1990
1201 | 1212,印尼,亚洲,"181,413,402",1990
1202 | 1213,巴西,美洲,"149,003,223",1990
1203 | 1214,俄罗斯,欧洲,"148,292,000",1990
1204 | 1215,日本,亚洲,"123,537,000",1990
1205 | 1216,巴基斯坦,亚洲,"107,647,921",1990
1206 | 1217,孟加拉,亚洲,"103,171,956",1990
1207 | 1218,尼日利亚,非洲,"95,212,450",1990
1208 | 1219,墨西哥,美洲,"83,943,132",1990
1209 | 1220,德国,欧洲,"79,433,029",1990
1210 | 1221,越南,亚洲,"67,988,862",1990
1211 | 1222,菲律宾,亚洲,"61,895,160",1990
1212 | 1223,法国,欧洲,"58,235,697",1990
1213 | 1224,英国,欧洲,"57,247,586",1990
1214 | 1225,意大利,欧洲,"56,719,240",1990
1215 | 1226,泰国,亚洲,"56,558,186",1990
1216 | 1227,伊朗,亚洲,"56,366,217",1990
1217 | 1228,埃及,非洲,"56,134,475",1990
1218 | 1229,土耳其,欧洲,"53,921,760",1990
1219 | 1230,乌克兰,欧洲,"51,892,000",1990
1220 | 1231,埃塞俄比亚,非洲,"47,887,865",1990
1221 | 1232,韩国,亚洲,"42,869,283",1990
1222 | 1233,缅甸,亚洲,"41,335,199",1990
1223 | 1234,西班牙,欧洲,"38,867,322",1990
1224 | 1235,波兰,欧洲,"38,110,782",1990
1225 | 1236,南非,非洲,"36,800,509",1990
1226 | 1237,刚果（金）,非洲,"34,612,023",1990
1227 | 1238,哥伦比亚,美洲,"33,102,575",1990
1228 | 1239,阿根廷,美洲,"32,618,651",1990
1229 | 1240,加拿大,美洲,"27,691,138",1990
1230 | 1241,阿尔及利亚,非洲,"25,758,869",1990
1231 | 1242,坦桑尼亚,非洲,"25,203,845",1990
1232 | 1243,摩洛哥,非洲,"24,807,462",1990
1233 | 1244,肯尼亚,非洲,"23,724,579",1990
1234 | 1245,罗马尼亚,欧洲,"23,201,835",1990
1235 | 1246,秘鲁,美洲,"22,071,433",1990
1236 | 1247,乌兹别克斯坦,亚洲,"20,510,000",1990
1237 | 1248,中国,亚洲,"1,150,780,000",1991
1238 | 1249,印度,亚洲,"891,273,209",1991
1239 | 1250,美国,美洲,"252,981,000",1991
1240 | 1251,印尼,亚洲,"184,591,903",1991
1241 | 1252,巴西,美洲,"151,648,011",1991
1242 | 1253,俄罗斯,欧洲,"148,624,000",1991
1243 | 1254,日本,亚洲,"123,921,000",1991
1244 | 1255,巴基斯坦,亚洲,"110,778,648",1991
1245 | 1256,孟加拉,亚洲,"105,599,127",1991
1246 | 1257,尼日利亚,非洲,"97,667,632",1991
1247 | 1258,墨西哥,美洲,"85,512,623",1991
1248 | 1259,德国,欧洲,"80,013,896",1991
1249 | 1260,越南,亚洲,"69,436,954",1991
1250 | 1261,菲律宾,亚洲,"63,454,786",1991
1251 | 1262,法国,欧洲,"58,559,311",1991
1252 | 1263,伊朗,亚洲,"57,679,034",1991
1253 | 1264,英国,欧洲,"57,424,897",1991
1254 | 1265,埃及,非洲,"57,424,549",1991
1255 | 1266,泰国,亚洲,"57,232,465",1991
1256 | 1267,意大利,欧洲,"56,758,521",1991
1257 | 1268,土耳其,欧洲,"54,840,590",1991
1258 | 1269,乌克兰,欧洲,"52,000,470",1991
1259 | 1270,埃塞俄比亚,非洲,"49,609,969",1991
1260 | 1271,韩国,亚洲,"43,295,704",1991
1261 | 1272,缅甸,亚洲,"41,890,197",1991
1262 | 1273,西班牙,欧洲,"38,966,376",1991
1263 | 1274,波兰,欧洲,"38,246,193",1991
1264 | 1275,南非,非洲,"37,718,950",1991
1265 | 1276,刚果（金）,非洲,"35,908,244",1991
1266 | 1277,哥伦比亚,美洲,"33,758,337",1991
1267 | 1278,阿根廷,美洲,"33,079,000",1991
1268 | 1279,加拿大,美洲,"28,037,420",1991
1269 | 1280,阿尔及利亚,非洲,"26,400,479",1991
1270 | 1281,坦桑尼亚,非洲,"26,056,594",1991
1271 | 1282,摩洛哥,非洲,"25,260,404",1991
1272 | 1283,肯尼亚,非洲,"24,521,703",1991
1273 | 1284,罗马尼亚,欧洲,"23,001,155",1991
1274 | 1285,秘鲁,美洲,"22,522,378",1991
1275 | 1286,乌兹别克斯坦,亚洲,"20,952,000",1991
1276 | 1287,中国,亚洲,"1,164,970,000",1992
1277 | 1288,印度,亚洲,"909,307,016",1992
1278 | 1289,美国,美洲,"256,514,000",1992
1279 | 1290,印尼,亚洲,"187,739,786",1992
1280 | 1291,巴西,美洲,"154,259,380",1992
1281 | 1292,俄罗斯,欧洲,"148,689,000",1992
1282 | 1293,日本,亚洲,"124,229,000",1992
1283 | 1294,巴基斯坦,亚洲,"113,911,126",1992
1284 | 1295,孟加拉,亚洲,"107,983,704",1992
1285 | 1296,尼日利亚,非洲,"100,161,710",1992
1286 | 1297,墨西哥,美洲,"87,075,138",1992
1287 | 1298,德国,欧洲,"80,624,598",1992
1288 | 1299,越南,亚洲,"70,883,481",1992
1289 | 1300,菲律宾,亚洲,"65,020,116",1992
1290 | 1301,法国,欧洲,"58,851,217",1992
1291 | 1302,伊朗,亚洲,"58,780,370",1992
1292 | 1303,埃及,非洲,"58,666,814",1992
1293 | 1304,泰国,亚洲,"57,811,021",1992
1294 | 1305,英国,欧洲,"57,580,402",1992
1295 | 1306,意大利,欧洲,"56,797,087",1992
1296 | 1307,土耳其,欧洲,"55,748,948",1992
1297 | 1308,乌克兰,欧洲,"52,150,266",1992
1298 | 1309,埃塞俄比亚,非洲,"51,423,585",1992
1299 | 1310,韩国,亚洲,"43,747,962",1992
1300 | 1311,缅甸,亚洲,"42,401,684",1992
1301 | 1312,西班牙,欧洲,"39,157,685",1992
1302 | 1313,南非,非洲,"38,672,607",1992
1303 | 1314,波兰,欧洲,"38,363,667",1992
1304 | 1315,刚果（金）,非洲,"37,333,914",1992
1305 | 1316,哥伦比亚,美洲,"34,422,569",1992
1306 | 1317,阿根廷,美洲,"33,529,326",1992
1307 | 1318,加拿大,美洲,"28,371,264",1992
1308 | 1319,阿尔及利亚,非洲,"27,028,326",1992
1309 | 1320,坦桑尼亚,非洲,"26,961,197",1992
1310 | 1321,摩洛哥,非洲,"25,711,406",1992
1311 | 1322,肯尼亚,非洲,"25,326,078",1992
1312 | 1323,秘鲁,美洲,"22,966,818",1992
1313 | 1324,罗马尼亚,欧洲,"22,794,284",1992
1314 | 1325,苏丹,非洲,"21,696,244",1992
1315 | 1326,中国,亚洲,"1,178,440,000",1993
1316 | 1327,印度,亚洲,"927,403,860",1993
1317 | 1328,美国,美洲,"259,919,000",1993
1318 | 1329,印尼,亚洲,"190,851,175",1993
1319 | 1330,巴西,美洲,"156,849,078",1993
1320 | 1331,俄罗斯,欧洲,"148,520,000",1993
1321 | 1332,日本,亚洲,"124,536,000",1993
1322 | 1333,巴基斯坦,亚洲,"117,086,685",1993
1323 | 1334,孟加拉,亚洲,"110,350,639",1993
1324 | 1335,尼日利亚,非洲,"102,700,753",1993
1325 | 1336,墨西哥,美洲,"88,625,440",1993
1326 | 1337,德国,欧洲,"81,156,363",1993
1327 | 1338,越南,亚洲,"72,300,308",1993
1328 | 1339,菲律宾,亚洲,"66,593,904",1993
1329 | 1340,埃及,非洲,"59,880,658",1993
1330 | 1341,伊朗,亚洲,"59,723,764",1993
1331 | 1342,法国,欧洲,"59,106,768",1993
1332 | 1343,泰国,亚洲,"58,337,773",1993
1333 | 1344,英国,欧洲,"57,718,614",1993
1334 | 1345,意大利,欧洲,"56,831,821",1993
1335 | 1346,土耳其,欧洲,"56,653,804",1993
1336 | 1347,埃塞俄比亚,非洲,"53,295,566",1993
1337 | 1348,乌克兰,欧洲,"52,179,210",1993
1338 | 1349,韩国,亚洲,"44,194,628",1993
1339 | 1350,缅甸,亚洲,"42,890,002",1993
1340 | 1351,南非,非洲,"39,633,750",1993
1341 | 1352,西班牙,欧洲,"39,361,262",1993
1342 | 1353,刚果（金）,非洲,"38,815,834",1993
1343 | 1354,波兰,欧洲,"38,461,408",1993
1344 | 1355,哥伦比亚,美洲,"35,091,275",1993
1345 | 1356,阿根廷,美洲,"33,970,111",1993
1346 | 1357,加拿大,美洲,"28,684,764",1993
1347 | 1358,坦桑尼亚,非洲,"27,887,203",1993
1348 | 1359,阿尔及利亚,非洲,"27,635,515",1993
1349 | 1360,摩洛哥,非洲,"26,155,203",1993
1350 | 1361,肯尼亚,非洲,"26,136,216",1993
1351 | 1362,秘鲁,美洲,"23,408,131",1993
1352 | 1363,罗马尼亚,欧洲,"22,763,280",1993
1353 | 1364,苏丹,非洲,"22,527,834",1993
1354 | 1365,中国,亚洲,"1,191,835,000",1994
1355 | 1366,印度,亚洲,"945,601,831",1994
1356 | 1367,美国,美洲,"263,126,000",1994
1357 | 1368,印尼,亚洲,"193,917,462",1994
1358 | 1369,巴西,美洲,"159,432,716",1994
1359 | 1370,俄罗斯,欧洲,"148,336,000",1994
1360 | 1371,日本,亚洲,"124,961,000",1994
1361 | 1372,巴基斯坦,亚洲,"120,362,762",1994
1362 | 1373,孟加拉,亚洲,"112,737,683",1994
1363 | 1374,尼日利亚,非洲,"105,293,700",1994
1364 | 1375,墨西哥,美洲,"90,156,400",1994
1365 | 1376,德国,欧洲,"81,438,348",1994
1366 | 1377,越南,亚洲,"73,651,218",1994
1367 | 1378,菲律宾,亚洲,"68,180,859",1994
1368 | 1379,埃及,非洲,"61,095,804",1994
1369 | 1380,伊朗,亚洲,"60,590,614",1994
1370 | 1381,法国,欧洲,"59,327,192",1994
1371 | 1382,泰国,亚洲,"58,875,269",1994
1372 | 1383,英国,欧洲,"57,865,745",1994
1373 | 1384,土耳其,欧洲,"57,564,204",1994
1374 | 1385,意大利,欧洲,"56,843,400",1994
1375 | 1386,埃塞俄比亚,非洲,"55,180,998",1994
1376 | 1387,乌克兰,欧洲,"51,921,041",1994
1377 | 1388,韩国,亚洲,"44,641,540",1994
1378 | 1389,缅甸,亚洲,"43,383,428",1994
1379 | 1390,南非,非洲,"40,564,059",1994
1380 | 1391,刚果（金）,非洲,"40,252,975",1994
1381 | 1392,西班牙,欧洲,"39,549,108",1994
1382 | 1393,波兰,欧洲,"38,542,652",1994
1383 | 1394,哥伦比亚,美洲,"35,758,979",1994
1384 | 1395,阿根廷,美洲,"34,402,672",1994
1385 | 1396,加拿大,美洲,"29,000,663",1994
1386 | 1397,坦桑尼亚,非洲,"28,792,639",1994
1387 | 1398,阿尔及利亚,非洲,"28,213,774",1994
1388 | 1399,肯尼亚,非洲,"26,950,513",1994
1389 | 1400,摩洛哥,非洲,"26,584,478",1994
1390 | 1401,秘鲁,美洲,"23,851,408",1994
1391 | 1402,苏丹,非洲,"23,338,464",1994
1392 | 1403,罗马尼亚,欧洲,"22,730,211",1994
1393 | 1404,中国,亚洲,"1,204,855,000",1995
1394 | 1405,印度,亚洲,"963,922,588",1995
1395 | 1406,美国,美洲,"266,278,000",1995
1396 | 1407,印尼,亚洲,"196,934,260",1995
1397 | 1408,巴西,美洲,"162,019,896",1995
1398 | 1409,俄罗斯,欧洲,"148,375,726",1995
1399 | 1410,日本,亚洲,"125,439,000",1995
1400 | 1411,巴基斯坦,亚洲,"123,776,839",1995
1401 | 1412,孟加拉,亚洲,"115,169,930",1995
1402 | 1413,尼日利亚,非洲,"107,948,335",1995
1403 | 1414,墨西哥,美洲,"91,663,285",1995
1404 | 1415,德国,欧洲,"81,678,051",1995
1405 | 1416,越南,亚洲,"74,910,461",1995
1406 | 1417,菲律宾,亚洲,"69,784,088",1995
1407 | 1418,埃及,非洲,"62,334,034",1995
1408 | 1419,伊朗,亚洲,"61,442,664",1995
1409 | 1420,法国,欧洲,"59,541,899",1995
1410 | 1421,泰国,亚洲,"59,467,274",1995
1411 | 1422,土耳其,欧洲,"58,486,456",1995
1412 | 1423,英国,欧洲,"58,019,030",1995
1413 | 1424,埃塞俄比亚,非洲,"57,047,908",1995
1414 | 1425,意大利,欧洲,"56,844,303",1995
1415 | 1426,乌克兰,欧洲,"51,512,299",1995
1416 | 1427,韩国,亚洲,"45,092,991",1995
1417 | 1428,缅甸,亚洲,"43,901,598",1995
1418 | 1429,刚果（金）,非洲,"41,576,234",1995
1419 | 1430,南非,非洲,"41,435,758",1995
1420 | 1431,西班牙,欧洲,"39,724,050",1995
1421 | 1432,波兰,欧洲,"38,594,998",1995
1422 | 1433,哥伦比亚,美洲,"36,421,438",1995
1423 | 1434,阿根廷,美洲,"34,828,170",1995
1424 | 1435,坦桑尼亚,非洲,"29,649,135",1995
1425 | 1436,加拿大,美洲,"29,302,311",1995
1426 | 1437,阿尔及利亚,非洲,"28,757,785",1995
1427 | 1438,肯尼亚,非洲,"27,768,296",1995
1428 | 1439,摩洛哥,非洲,"26,994,250",1995
1429 | 1440,秘鲁,美洲,"24,299,160",1995
1430 | 1441,苏丹,非洲,"24,094,747",1995
1431 | 1442,乌兹别克斯坦,亚洲,"22,785,000",1995
1432 | 1443,中国,亚洲,"1,217,550,000",1996
1433 | 1444,印度,亚洲,"982,365,243",1996
1434 | 1445,美国,美洲,"269,394,000",1996
1435 | 1446,印尼,亚洲,"199,901,228",1996
1436 | 1447,巴西,美洲,"164,614,688",1996
1437 | 1448,俄罗斯,欧洲,"148,160,042",1996
1438 | 1449,巴基斯坦,亚洲,"127,349,290",1996
1439 | 1450,日本,亚洲,"125,757,000",1996
1440 | 1451,孟加拉,亚洲,"117,649,932",1996
1441 | 1452,尼日利亚,非洲,"110,668,794",1996
1442 | 1453,墨西哥,美洲,"93,147,044",1996
1443 | 1454,德国,欧洲,"81,914,831",1996
1444 | 1455,越南,亚洲,"76,068,743",1996
1445 | 1456,菲律宾,亚洲,"71,401,749",1996
1446 | 1457,埃及,非洲,"63,601,629",1996
1447 | 1458,伊朗,亚洲,"62,294,920",1996
1448 | 1459,泰国,亚洲,"60,130,186",1996
1449 | 1460,法国,欧洲,"59,753,100",1996
1450 | 1461,土耳其,欧洲,"59,423,282",1996
1451 | 1462,埃塞俄比亚,非洲,"58,883,530",1996
1452 | 1463,英国,欧洲,"58,166,950",1996
1453 | 1464,意大利,欧洲,"56,860,281",1996
1454 | 1465,乌克兰,欧洲,"51,057,189",1996
1455 | 1466,韩国,亚洲,"45,524,681",1996
1456 | 1467,缅甸,亚洲,"44,452,206",1996
1457 | 1468,刚果（金）,非洲,"42,757,243",1996
1458 | 1469,南非,非洲,"42,241,011",1996
1459 | 1470,西班牙,欧洲,"39,889,852",1996
1460 | 1471,波兰,欧洲,"38,624,370",1996
1461 | 1472,哥伦比亚,美洲,"37,076,387",1996
1462 | 1473,阿根廷,美洲,"35,246,374",1996
1463 | 1474,坦桑尼亚,非洲,"30,444,526",1996
1464 | 1475,加拿大,美洲,"29,610,218",1996
1465 | 1476,阿尔及利亚,非洲,"29,266,405",1996
1466 | 1477,肯尼亚,非洲,"28,589,451",1996
1467 | 1478,摩洛哥,非洲,"27,383,473",1996
1468 | 1479,苏丹,非洲,"24,782,383",1996
1469 | 1480,秘鲁,美洲,"24,753,824",1996
1470 | 1481,乌兹别克斯坦,亚洲,"23,225,000",1996
1471 | 1482,中国,亚洲,"1,230,075,000",1997
1472 | 1483,印度,亚洲,"1,000,900,030",1997
1473 | 1484,美国,美洲,"272,657,000",1997
1474 | 1485,印尼,亚洲,"202,826,446",1997
1475 | 1486,巴西,美洲,"167,209,040",1997
1476 | 1487,俄罗斯,欧洲,"147,915,307",1997
1477 | 1488,巴基斯坦,亚洲,"131,057,431",1997
1478 | 1489,日本,亚洲,"126,057,000",1997
1479 | 1490,孟加拉,亚洲,"120,160,564",1997
1480 | 1491,尼日利亚,非洲,"113,457,663",1997
1481 | 1492,墨西哥,美洲,"94,611,002",1997
1482 | 1493,德国,欧洲,"82,034,771",1997
1483 | 1494,越南,亚洲,"77,133,214",1997
1484 | 1495,菲律宾,亚洲,"73,030,884",1997
1485 | 1496,埃及,非洲,"64,892,270",1997
1486 | 1497,伊朗,亚洲,"63,136,312",1997
1487 | 1498,泰国,亚洲,"60,846,582",1997
1488 | 1499,埃塞俄比亚,非洲,"60,697,443",1997
1489 | 1500,土耳其,欧洲,"60,372,568",1997
1490 | 1501,法国,欧洲,"59,964,851",1997
1491 | 1502,英国,欧洲,"58,316,954",1997
1492 | 1503,意大利,欧洲,"56,890,372",1997
1493 | 1504,乌克兰,欧洲,"50,594,105",1997
1494 | 1505,韩国,亚洲,"45,953,580",1997
1495 | 1506,缅甸,亚洲,"45,027,233",1997
1496 | 1507,刚果（金）,非洲,"43,827,180",1997
1497 | 1508,南非,非洲,"42,987,461",1997
1498 | 1509,西班牙,欧洲,"40,057,389",1997
1499 | 1510,波兰,欧洲,"38,649,660",1997
1500 | 1511,哥伦比亚,美洲,"37,723,800",1997
1501 | 1512,阿根廷,美洲,"35,657,429",1997
1502 | 1513,坦桑尼亚,非洲,"31,192,857",1997
1503 | 1514,加拿大,美洲,"29,905,948",1997
1504 | 1515,阿尔及利亚,非洲,"29,742,979",1997
1505 | 1516,肯尼亚,非洲,"29,415,659",1997
1506 | 1517,摩洛哥,非洲,"27,754,571",1997
1507 | 1518,苏丹,非洲,"25,413,917",1997
1508 | 1519,秘鲁,美洲,"25,210,954",1997
1509 | 1520,乌兹别克斯坦,亚洲,"23,667,000",1997
1510 | 1521,中国,亚洲,"1,241,935,000",1998
1511 | 1522,印度,亚洲,"1,019,483,581",1998
1512 | 1523,美国,美洲,"275,854,000",1998
1513 | 1524,印尼,亚洲,"205,724,592",1998
1514 | 1525,巴西,美洲,"169,785,250",1998
1515 | 1526,俄罗斯,欧洲,"147,670,692",1998
1516 | 1527,巴基斯坦,亚洲,"134,843,233",1998
1517 | 1528,日本,亚洲,"126,400,000",1998
1518 | 1529,孟加拉,亚洲,"122,682,815",1998
1519 | 1530,尼日利亚,非洲,"116,319,759",1998
1520 | 1531,墨西哥,美洲,"96,056,321",1998
1521 | 1532,德国,欧洲,"82,047,195",1998
1522 | 1533,越南,亚洲,"78,115,710",1998
1523 | 1534,菲律宾,亚洲,"74,672,014",1998
1524 | 1535,埃及,非洲,"66,200,269",1998
1525 | 1536,伊朗,亚洲,"63,971,836",1998
1526 | 1537,埃塞俄比亚,非洲,"62,507,724",1998
1527 | 1538,泰国,亚洲,"61,585,103",1998
1528 | 1539,土耳其,欧洲,"61,329,676",1998
1529 | 1540,法国,欧洲,"60,186,288",1998
1530 | 1541,英国,欧洲,"58,487,141",1998
1531 | 1542,意大利,欧洲,"56,906,744",1998
1532 | 1543,乌克兰,欧洲,"50,143,939",1998
1533 | 1544,韩国,亚洲,"46,286,503",1998
1534 | 1545,缅甸,亚洲,"45,611,220",1998
1535 | 1546,刚果（金）,非洲,"44,849,967",1998
1536 | 1547,南非,非洲,"43,682,260",1998
1537 | 1548,西班牙,欧洲,"40,223,509",1998
1538 | 1549,波兰,欧洲,"38,663,481",1998
1539 | 1550,哥伦比亚,美洲,"38,364,309",1998
1540 | 1551,阿根廷,美洲,"36,063,459",1998
1541 | 1552,坦桑尼亚,非洲,"31,924,196",1998
1542 | 1553,肯尼亚,非洲,"30,250,488",1998
1543 | 1554,阿尔及利亚,非洲,"30,192,754",1998
1544 | 1555,加拿大,美洲,"30,155,173",1998
1545 | 1556,摩洛哥,非洲,"28,110,443",1998
1546 | 1557,苏丹,非洲,"26,015,521",1998
1547 | 1558,秘鲁,美洲,"25,658,062",1998
1548 | 1559,乌兹别克斯坦,亚洲,"24,051,000",1998
1549 | 1560,中国,亚洲,"1,252,735,000",1999
1550 | 1561,印度,亚洲,"1,038,058,156",1999
1551 | 1562,美国,美洲,"279,040,000",1999
1552 | 1563,印尼,亚洲,"208,615,169",1999
1553 | 1564,巴西,美洲,"172,318,675",1999
1554 | 1565,俄罗斯,欧洲,"147,214,392",1999
1555 | 1566,巴基斯坦,亚洲,"138,624,621",1999
1556 | 1567,日本,亚洲,"126,631,000",1999
1557 | 1568,孟加拉,亚洲,"125,189,651",1999
1558 | 1569,尼日利亚,非洲,"119,260,063",1999
1559 | 1570,墨西哥,美洲,"97,484,832",1999
1560 | 1571,德国,欧洲,"82,100,243",1999
1561 | 1572,越南,亚洲,"79,035,871",1999
1562 | 1573,菲律宾,亚洲,"76,325,927",1999
1563 | 1574,埃及,非洲,"67,515,591",1999
1564 | 1575,伊朗,亚洲,"64,800,880",1999
1565 | 1576,埃塞俄比亚,非洲,"64,343,013",1999
1566 | 1577,泰国,亚洲,"62,298,571",1999
1567 | 1578,土耳其,欧洲,"62,287,397",1999
1568 | 1579,法国,欧洲,"60,496,718",1999
1569 | 1580,英国,欧洲,"58,682,466",1999
1570 | 1581,意大利,欧洲,"56,916,317",1999
1571 | 1582,乌克兰,欧洲,"49,673,350",1999
1572 | 1583,韩国,亚洲,"46,616,677",1999
1573 | 1584,缅甸,亚洲,"46,181,077",1999
1574 | 1585,刚果（金）,非洲,"45,919,613",1999
1575 | 1586,南非,非洲,"44,338,543",1999
1576 | 1587,西班牙,欧洲,"40,386,875",1999
1577 | 1588,哥伦比亚,美洲,"38,999,471",1999
1578 | 1589,波兰,欧洲,"38,660,271",1999
1579 | 1590,阿根廷,美洲,"36,467,218",1999
1580 | 1591,坦桑尼亚,非洲,"32,682,239",1999
1581 | 1592,肯尼亚,非洲,"31,098,757",1999
1582 | 1593,阿尔及利亚,非洲,"30,623,406",1999
1583 | 1594,加拿大,美洲,"30,401,286",1999
1584 | 1595,摩洛哥,非洲,"28,455,509",1999
1585 | 1596,苏丹,非洲,"26,626,520",1999
1586 | 1597,秘鲁,美洲,"26,078,293",1999
1587 | 1598,乌兹别克斯坦,亚洲,"24,311,650",1999
1588 | 1599,中国,亚洲,"1,262,645,000",2000
1589 | 1600,印度,亚洲,"1,056,575,549",2000
1590 | 1601,美国,美洲,"282,162,411",2000
1591 | 1602,印尼,亚洲,"211,513,823",2000
1592 | 1603,巴西,美洲,"174,790,340",2000
1593 | 1604,俄罗斯,欧洲,"146,596,557",2000
1594 | 1605,巴基斯坦,亚洲,"142,343,578",2000
1595 | 1606,孟加拉,亚洲,"127,657,854",2000
1596 | 1607,日本,亚洲,"126,843,000",2000
1597 | 1608,尼日利亚,非洲,"122,283,850",2000
1598 | 1609,墨西哥,美洲,"98,899,845",2000
1599 | 1610,德国,欧洲,"82,211,508",2000
1600 | 1611,越南,亚洲,"79,910,412",2000
1601 | 1612,菲律宾,亚洲,"77,991,755",2000
1602 | 1613,埃及,非洲,"68,831,561",2000
1603 | 1614,埃塞俄比亚,非洲,"66,224,804",2000
1604 | 1615,伊朗,亚洲,"65,623,405",2000
1605 | 1616,土耳其,欧洲,"63,240,194",2000
1606 | 1617,泰国,亚洲,"62,952,642",2000
1607 | 1618,法国,欧洲,"60,912,500",2000
1608 | 1619,英国,欧洲,"58,892,514",2000
1609 | 1620,意大利,欧洲,"56,942,108",2000
1610 | 1621,乌克兰,欧洲,"49,175,848",2000
1611 | 1622,刚果（金）,非洲,"47,105,826",2000
1612 | 1623,韩国,亚洲,"47,008,111",2000
1613 | 1624,缅甸,亚洲,"46,719,701",2000
1614 | 1625,南非,非洲,"44,967,708",2000
1615 | 1626,西班牙,欧洲,"40,567,864",2000
1616 | 1627,哥伦比亚,美洲,"39,629,968",2000
1617 | 1628,波兰,欧洲,"38,258,629",2000
1618 | 1629,阿根廷,美洲,"36,870,787",2000
1619 | 1630,坦桑尼亚,非洲,"33,499,180",2000
1620 | 1631,肯尼亚,非洲,"31,964,557",2000
1621 | 1632,阿尔及利亚,非洲,"31,042,235",2000
1622 | 1633,加拿大,美洲,"30,685,730",2000
1623 | 1634,摩洛哥,非洲,"28,793,679",2000
1624 | 1635,苏丹,非洲,"27,275,015",2000
1625 | 1636,秘鲁,美洲,"26,459,944",2000
1626 | 1637,乌兹别克斯坦,亚洲,"24,650,400",2000
1627 | 1638,中国,亚洲,"1,271,850,000",2001
1628 | 1639,印度,亚洲,"1,075,000,085",2001
1629 | 1640,美国,美洲,"284,968,955",2001
1630 | 1641,印尼,亚洲,"214,427,417",2001
1631 | 1642,巴西,美洲,"177,196,054",2001
1632 | 1643,巴基斯坦,亚洲,"145,978,402",2001
1633 | 1644,俄罗斯,欧洲,"145,976,083",2001
1634 | 1645,孟加拉,亚洲,"130,088,702",2001
1635 | 1646,日本,亚洲,"127,149,000",2001
1636 | 1647,尼日利亚,非洲,"125,394,046",2001
1637 | 1648,墨西哥,美洲,"100,298,153",2001
1638 | 1649,德国,欧洲,"82,349,925",2001
1639 | 1650,越南,亚洲,"80,742,499",2001
1640 | 1651,菲律宾,亚洲,"79,672,873",2001
1641 | 1652,埃及,非洲,"70,152,661",2001
1642 | 1653,埃塞俄比亚,非洲,"68,159,423",2001
1643 | 1654,伊朗,亚洲,"66,449,112",2001
1644 | 1655,土耳其,欧洲,"64,192,243",2001
1645 | 1656,泰国,亚洲,"63,539,196",2001
1646 | 1657,法国,欧洲,"61,357,430",2001
1647 | 1658,英国,欧洲,"59,119,673",2001
1648 | 1659,意大利,欧洲,"56,974,100",2001
1649 | 1660,乌克兰,欧洲,"48,683,865",2001
1650 | 1661,刚果（金）,非洲,"48,428,545",2001
1651 | 1662,韩国,亚洲,"47,370,164",2001
1652 | 1663,缅甸,亚洲,"47,225,120",2001
1653 | 1664,南非,非洲,"45,571,274",2001
1654 | 1665,西班牙,欧洲,"40,850,412",2001
1655 | 1666,哥伦比亚,美洲,"40,255,967",2001
1656 | 1667,波兰,欧洲,"38,248,076",2001
1657 | 1668,阿根廷,美洲,"37,275,652",2001
1658 | 1669,坦桑尼亚,非洲,"34,385,856",2001
1659 | 1670,肯尼亚,非洲,"32,848,564",2001
1660 | 1671,阿尔及利亚,非洲,"31,451,514",2001
1661 | 1672,加拿大,美洲,"31,020,902",2001
1662 | 1673,摩洛哥,非洲,"29,126,330",2001
1663 | 1674,苏丹,非洲,"27,971,082",2001
1664 | 1675,秘鲁,美洲,"26,799,285",2001
1665 | 1676,乌兹别克斯坦,亚洲,"24,964,450",2001
1666 | 1677,中国,亚洲,"1,280,400,000",2002
1667 | 1678,印度,亚洲,"1,093,317,189",2002
1668 | 1679,美国,美洲,"287,625,193",2002
1669 | 1680,印尼,亚洲,"217,357,793",2002
1670 | 1681,巴西,美洲,"179,537,520",2002
1671 | 1682,巴基斯坦,亚洲,"149,549,700",2002
1672 | 1683,俄罗斯,欧洲,"145,306,046",2002
1673 | 1684,孟加拉,亚洲,"132,478,086",2002
1674 | 1685,尼日利亚,非洲,"128,596,076",2002
1675 | 1686,日本,亚洲,"127,445,000",2002
1676 | 1687,墨西哥,美洲,"101,684,758",2002
1677 | 1688,德国,欧洲,"82,488,495",2002
1678 | 1689,越南,亚洲,"81,534,407",2002
1679 | 1690,菲律宾,亚洲,"81,365,258",2002
1680 | 1691,埃及,非洲,"71,485,043",2002
1681 | 1692,埃塞俄比亚,非洲,"70,142,091",2002
1682 | 1693,伊朗,亚洲,"67,284,796",2002
1683 | 1694,土耳其,欧洲,"65,145,367",2002
1684 | 1695,泰国,亚洲,"64,069,087",2002
1685 | 1696,法国,欧洲,"61,805,267",2002
1686 | 1697,英国,欧洲,"59,370,479",2002
1687 | 1698,意大利,欧洲,"57,059,007",2002
1688 | 1699,刚果（金）,非洲,"49,871,666",2002
1689 | 1700,乌克兰,欧洲,"48,202,500",2002
1690 | 1701,缅甸,亚洲,"47,702,171",2002
1691 | 1702,韩国,亚洲,"47,644,736",2002
1692 | 1703,南非,非洲,"46,150,913",2002
1693 | 1704,西班牙,欧洲,"41,431,558",2002
1694 | 1705,哥伦比亚,美洲,"40,875,360",2002
1695 | 1706,波兰,欧洲,"38,230,364",2002
1696 | 1707,阿根廷,美洲,"37,681,749",2002
1697 | 1708,坦桑尼亚,非洲,"35,334,788",2002
1698 | 1709,肯尼亚,非洲,"33,751,739",2002
1699 | 1710,阿尔及利亚,非洲,"31,855,109",2002
1700 | 1711,加拿大,美洲,"31,360,079",2002
1701 | 1712,摩洛哥,非洲,"29,454,768",2002
1702 | 1713,苏丹,非洲,"28,704,778",2002
1703 | 1714,秘鲁,美洲,"27,100,968",2002
1704 | 1715,乌兹别克斯坦,亚洲,"25,271,850",2002
1705 | 1716,中国,亚洲,"1,288,400,000",2003
1706 | 1717,印度,亚洲,"1,111,523,144",2003
1707 | 1718,美国,美洲,"290,107,933",2003
1708 | 1719,印尼,亚洲,"220,309,469",2003
1709 | 1720,巴西,美洲,"181,809,246",2003
1710 | 1721,巴基斯坦,亚洲,"153,093,373",2003
1711 | 1722,俄罗斯,欧洲,"144,648,257",2003
1712 | 1723,孟加拉,亚洲,"134,791,603",2003
1713 | 1724,尼日利亚,非洲,"131,900,631",2003
1714 | 1725,日本,亚洲,"127,718,000",2003
1715 | 1726,墨西哥,美洲,"103,081,020",2003
1716 | 1727,菲律宾,亚洲,"83,051,971",2003
1717 | 1728,德国,欧洲,"82,534,176",2003
1718 | 1729,越南,亚洲,"82,301,656",2003
1719 | 1730,埃及,非洲,"72,826,097",2003
1720 | 1731,埃塞俄比亚,非洲,"72,170,584",2003
1721 | 1732,伊朗,亚洲,"68,122,938",2003
1722 | 1733,土耳其,欧洲,"66,089,402",2003
1723 | 1734,泰国,亚洲,"64,549,866",2003
1724 | 1735,法国,欧洲,"62,244,886",2003
1725 | 1736,英国,欧洲,"59,647,577",2003
1726 | 1737,意大利,欧洲,"57,313,203",2003
1727 | 1738,刚果（金）,非洲,"51,425,580",2003
1728 | 1739,缅甸,亚洲,"48,148,902",2003
1729 | 1740,韩国,亚洲,"47,892,330",2003
1730 | 1741,乌克兰,欧洲,"47,812,950",2003
1731 | 1742,南非,非洲,"46,719,196",2003
1732 | 1743,西班牙,欧洲,"42,187,645",2003
1733 | 1744,哥伦比亚,美洲,"41,483,869",2003
1734 | 1745,波兰,欧洲,"38,204,570",2003
1735 | 1746,阿根廷,美洲,"38,087,868",2003
1736 | 1747,坦桑尼亚,非洲,"36,337,782",2003
1737 | 1748,肯尼亚,非洲,"34,678,779",2003
1738 | 1749,阿尔及利亚,非洲,"32,264,157",2003
1739 | 1750,加拿大,美洲,"31,644,028",2003
1740 | 1751,摩洛哥,非洲,"29,782,884",2003
1741 | 1752,苏丹,非洲,"29,460,519",2003
1742 | 1753,秘鲁,美洲,"27,372,226",2003
1743 | 1754,乌干达,非洲,"25,980,552",2003
1744 | 1755,中国,亚洲,"1,296,075,000",2004
1745 | 1756,印度,亚洲,"1,129,623,456",2004
1746 | 1757,美国,美洲,"292,805,298",2004
1747 | 1758,印尼,亚洲,"223,285,676",2004
1748 | 1759,巴西,美洲,"184,006,481",2004
1749 | 1760,巴基斯坦,亚洲,"156,664,697",2004
1750 | 1761,俄罗斯,欧洲,"144,067,054",2004
1751 | 1762,孟加拉,亚洲,"136,986,432",2004
1752 | 1763,尼日利亚,非洲,"135,320,422",2004
1753 | 1764,日本,亚洲,"127,761,000",2004
1754 | 1765,墨西哥,美洲,"104,514,932",2004
1755 | 1766,菲律宾,亚洲,"84,710,542",2004
1756 | 1767,越南,亚洲,"83,062,821",2004
1757 | 1768,德国,欧洲,"82,516,260",2004
1758 | 1769,埃塞俄比亚,非洲,"74,239,505",2004
1759 | 1770,埃及,非洲,"74,172,073",2004
1760 | 1771,伊朗,亚洲,"68,951,281",2004
1761 | 1772,土耳其,欧洲,"67,010,930",2004
1762 | 1773,泰国,亚洲,"64,995,299",2004
1763 | 1774,法国,欧洲,"62,704,895",2004
1764 | 1775,英国,欧洲,"59,987,905",2004
1765 | 1776,意大利,欧洲,"57,685,327",2004
1766 | 1777,刚果（金）,非洲,"53,068,880",2004
1767 | 1778,缅甸,亚洲,"48,564,484",2004
1768 | 1779,韩国,亚洲,"48,082,519",2004
1769 | 1780,乌克兰,欧洲,"47,451,600",2004
1770 | 1781,南非,非洲,"47,291,610",2004
1771 | 1782,西班牙,欧洲,"42,921,895",2004
1772 | 1783,哥伦比亚,美洲,"42,075,955",2004
1773 | 1784,阿根廷,美洲,"38,491,972",2004
1774 | 1785,波兰,欧洲,"38,182,222",2004
1775 | 1786,坦桑尼亚,非洲,"37,379,767",2004
1776 | 1787,肯尼亚,非洲,"35,635,271",2004
1777 | 1788,阿尔及利亚,非洲,"32,692,163",2004
1778 | 1789,加拿大,美洲,"31,940,655",2004
1779 | 1790,苏丹,非洲,"30,214,193",2004
1780 | 1791,摩洛哥,非洲,"30,115,214",2004
1781 | 1792,秘鲁,美洲,"27,624,213",2004
1782 | 1793,乌干达,非洲,"26,821,297",2004
1783 | 1794,中国,亚洲,"1,303,720,000",2005
1784 | 1795,印度,亚洲,"1,147,609,927",2005
1785 | 1796,美国,美洲,"295,516,599",2005
1786 | 1797,印尼,亚洲,"226,289,470",2005
1787 | 1798,巴西,美洲,"186,127,103",2005
1788 | 1799,巴基斯坦,亚洲,"160,304,008",2005
1789 | 1800,俄罗斯,欧洲,"143,518,523",2005
1790 | 1801,孟加拉,亚洲,"139,035,505",2005
1791 | 1802,尼日利亚,非洲,"138,865,016",2005
1792 | 1803,日本,亚洲,"127,773,000",2005
1793 | 1804,墨西哥,美洲,"106,005,203",2005
1794 | 1805,菲律宾,亚洲,"86,326,250",2005
1795 | 1806,越南,亚洲,"83,832,661",2005
1796 | 1807,德国,欧洲,"82,469,422",2005
1797 | 1808,埃塞俄比亚,非洲,"76,346,311",2005
1798 | 1809,埃及,非洲,"75,523,569",2005
1799 | 1810,伊朗,亚洲,"69,762,347",2005
1800 | 1811,土耳其,欧洲,"67,903,469",2005
1801 | 1812,泰国,亚洲,"65,416,189",2005
1802 | 1813,法国,欧洲,"63,179,351",2005
1803 | 1814,英国,欧洲,"60,401,206",2005
1804 | 1815,意大利,欧洲,"57,969,484",2005
1805 | 1816,刚果（金）,非洲,"54,785,903",2005
1806 | 1817,缅甸,亚洲,"48,949,924",2005
1807 | 1818,韩国,亚洲,"48,184,561",2005
1808 | 1819,南非,非洲,"47,880,601",2005
1809 | 1820,乌克兰,欧洲,"47,105,150",2005
1810 | 1821,西班牙,欧洲,"43,653,155",2005
1811 | 1822,哥伦比亚,美洲,"42,647,723",2005
1812 | 1823,阿根廷,美洲,"38,892,931",2005
1813 | 1824,坦桑尼亚,非洲,"38,450,320",2005
1814 | 1825,波兰,欧洲,"38,165,445",2005
1815 | 1826,肯尼亚,非洲,"36,624,895",2005
1816 | 1827,阿尔及利亚,非洲,"33,149,724",2005
1817 | 1828,加拿大,美洲,"32,243,753",2005
1818 | 1829,苏丹,非洲,"30,949,516",2005
1819 | 1830,摩洛哥,非洲,"30,455,561",2005
1820 | 1831,秘鲁,美洲,"27,866,145",2005
1821 | 1832,乌干达,非洲,"27,684,585",2005
1822 | 1833,中国,亚洲,"1,311,020,000",2006
1823 | 1834,印度,亚洲,"1,165,486,291",2006
1824 | 1835,美国,美洲,"298,379,912",2006
1825 | 1836,印尼,亚洲,"229,318,262",2006
1826 | 1837,巴西,美洲,"188,167,356",2006
1827 | 1838,巴基斯坦,亚洲,"164,022,627",2006
1828 | 1839,俄罗斯,欧洲,"143,049,528",2006
1829 | 1840,尼日利亚,非洲,"142,538,308",2006
1830 | 1841,孟加拉,亚洲,"140,921,167",2006
1831 | 1842,日本,亚洲,"127,854,000",2006
1832 | 1843,墨西哥,美洲,"107,560,153",2006
1833 | 1844,菲律宾,亚洲,"87,888,675",2006
1834 | 1845,越南,亚洲,"84,617,540",2006
1835 | 1846,德国,欧洲,"82,376,451",2006
1836 | 1847,埃塞俄比亚,非洲,"78,489,206",2006
1837 | 1848,埃及,非洲,"76,873,663",2006
1838 | 1849,伊朗,亚洲,"70,554,760",2006
1839 | 1850,土耳其,欧洲,"68,756,810",2006
1840 | 1851,泰国,亚洲,"65,812,536",2006
1841 | 1852,法国,欧洲,"63,621,381",2006
1842 | 1853,英国,欧洲,"60,846,820",2006
1843 | 1854,意大利,欧洲,"58,143,979",2006
1844 | 1855,刚果（金）,非洲,"56,578,037",2006
1845 | 1856,缅甸,亚洲,"49,301,050",2006
1846 | 1857,南非,非洲,"48,489,459",2006
1847 | 1858,韩国,亚洲,"48,438,292",2006
1848 | 1859,乌克兰,欧洲,"46,787,750",2006
1849 | 1860,西班牙,欧洲,"44,397,319",2006
1850 | 1861,哥伦比亚,美洲,"43,200,897",2006
1851 | 1862,坦桑尼亚,非洲,"39,548,663",2006
1852 | 1863,阿根廷,美洲,"39,289,878",2006
1853 | 1864,波兰,欧洲,"38,141,267",2006
1854 | 1865,肯尼亚,非洲,"37,649,033",2006
1855 | 1866,阿尔及利亚,非洲,"33,641,002",2006
1856 | 1867,加拿大,美洲,"32,571,174",2006
1857 | 1868,苏丹,非洲,"31,661,823",2006
1858 | 1869,摩洛哥,非洲,"30,804,683",2006
1859 | 1870,乌干达,非洲,"28,571,475",2006
1860 | 1871,秘鲁,美洲,"28,102,056",2006
1861 | 1872,中国,亚洲,"1,317,885,000",2007
1862 | 1873,印度,亚洲,"1,183,209,472",2007
1863 | 1874,美国,美洲,"301,231,207",2007
1864 | 1875,印尼,亚洲,"232,374,245",2007
1865 | 1876,巴西,美洲,"190,130,443",2007
1866 | 1877,巴基斯坦,亚洲,"167,808,105",2007
1867 | 1878,尼日利亚,非洲,"146,339,977",2007
1868 | 1879,俄罗斯,欧洲,"142,805,088",2007
1869 | 1880,孟加拉,亚洲,"142,660,376",2007
1870 | 1881,日本,亚洲,"128,001,000",2007
1871 | 1882,墨西哥,美洲,"109,170,502",2007
1872 | 1883,菲律宾,亚洲,"89,405,482",2007
1873 | 1884,越南,亚洲,"85,419,591",2007
1874 | 1885,德国,欧洲,"82,266,372",2007
1875 | 1886,埃塞俄比亚,非洲,"80,674,348",2007
1876 | 1887,埃及,非洲,"78,232,126",2007
1877 | 1888,伊朗,亚洲,"71,336,475",2007
1878 | 1889,土耳其,欧洲,"69,581,848",2007
1879 | 1890,泰国,亚洲,"66,182,067",2007
1880 | 1891,法国,欧洲,"64,016,225",2007
1881 | 1892,英国,欧洲,"61,322,463",2007
1882 | 1893,刚果（金）,非洲,"58,453,683",2007
1883 | 1894,意大利,欧洲,"58,438,310",2007
1884 | 1895,缅甸,亚洲,"49,621,475",2007
1885 | 1896,南非,非洲,"49,119,759",2007
1886 | 1897,韩国,亚洲,"48,683,638",2007
1887 | 1898,乌克兰,欧洲,"46,509,350",2007
1888 | 1899,西班牙,欧洲,"45,226,803",2007
1889 | 1900,哥伦比亚,美洲,"43,737,516",2007
1890 | 1901,坦桑尼亚,非洲,"40,681,414",2007
1891 | 1902,阿根廷,美洲,"39,684,295",2007
1892 | 1903,肯尼亚,非洲,"38,705,932",2007
1893 | 1904,波兰,欧洲,"38,120,560",2007
1894 | 1905,阿尔及利亚,非洲,"34,166,972",2007
1895 | 1906,加拿大,美洲,"32,889,025",2007
1896 | 1907,苏丹,非洲,"32,360,621",2007
1897 | 1908,摩洛哥,非洲,"31,163,673",2007
1898 | 1909,乌干达,非洲,"29,486,338",2007
1899 | 1910,秘鲁,美洲,"28,333,052",2007
1900 | 1911,中国,亚洲,"1,324,655,000",2008
1901 | 1912,印度,亚洲,"1,200,669,765",2008
1902 | 1913,美国,美洲,"304,093,966",2008
1903 | 1914,印尼,亚洲,"235,469,762",2008
1904 | 1915,巴西,美洲,"192,030,362",2008
1905 | 1916,巴基斯坦,亚洲,"171,648,986",2008
1906 | 1917,尼日利亚,非洲,"150,269,623",2008
1907 | 1918,孟加拉,亚洲,"144,304,167",2008
1908 | 1919,俄罗斯,欧洲,"142,742,350",2008
1909 | 1920,日本,亚洲,"128,063,000",2008
1910 | 1921,墨西哥,美洲,"110,815,271",2008
1911 | 1922,菲律宾,亚洲,"90,901,965",2008
1912 | 1923,越南,亚洲,"86,243,413",2008
1913 | 1924,埃塞俄比亚,非洲,"82,916,235",2008
1914 | 1925,德国,欧洲,"82,110,097",2008
1915 | 1926,埃及,非洲,"79,636,079",2008
1916 | 1927,伊朗,亚洲,"72,120,604",2008
1917 | 1928,土耳其,欧洲,"70,418,604",2008
1918 | 1929,泰国,亚洲,"66,530,984",2008
1919 | 1930,法国,欧洲,"64,374,984",2008
1920 | 1931,英国,欧洲,"61,806,995",2008
1921 | 1932,刚果（金）,非洲,"60,411,195",2008
1922 | 1933,意大利,欧洲,"58,826,731",2008
1923 | 1934,缅甸,亚洲,"49,929,642",2008
1924 | 1935,南非,非洲,"49,779,471",2008
1925 | 1936,韩国,亚洲,"49,054,708",2008
1926 | 1937,乌克兰,欧洲,"46,258,200",2008
1927 | 1938,西班牙,欧洲,"45,954,106",2008
1928 | 1939,哥伦比亚,美洲,"44,254,975",2008
1929 | 1940,坦桑尼亚,非洲,"41,853,944",2008
1930 | 1941,阿根廷,美洲,"40,080,160",2008
1931 | 1942,肯尼亚,非洲,"39,791,981",2008
1932 | 1943,波兰,欧洲,"38,125,759",2008
1933 | 1944,阿尔及利亚,非洲,"34,730,608",2008
1934 | 1945,加拿大,美洲,"33,247,118",2008
1935 | 1946,苏丹,非洲,"33,060,837",2008
1936 | 1947,摩洛哥,非洲,"31,536,811",2008
1937 | 1948,乌干达,非洲,"30,431,736",2008
1938 | 1949,秘鲁,美洲,"28,562,317",2008
1939 | 1950,中国,亚洲,"1,331,260,000",2009
1940 | 1951,印度,亚洲,"1,217,726,215",2009
1941 | 1952,美国,美洲,"306,771,529",2009
1942 | 1953,印尼,亚洲,"238,620,563",2009
1943 | 1954,巴西,美洲,"193,886,508",2009
1944 | 1955,巴基斯坦,亚洲,"175,525,609",2009
1945 | 1956,尼日利亚,非洲,"154,324,933",2009
1946 | 1957,孟加拉,亚洲,"145,924,797",2009
1947 | 1958,俄罗斯,欧洲,"142,785,342",2009
1948 | 1959,日本,亚洲,"128,047,000",2009
1949 | 1960,墨西哥,美洲,"112,463,887",2009
1950 | 1961,菲律宾,亚洲,"92,414,158",2009
1951 | 1962,越南,亚洲,"87,092,252",2009
1952 | 1963,埃塞俄比亚,非洲,"85,233,913",2009
1953 | 1964,德国,欧洲,"81,902,307",2009
1954 | 1965,埃及,非洲,"81,134,798",2009
1955 | 1966,伊朗,亚洲,"72,924,837",2009
1956 | 1967,土耳其,欧洲,"71,321,399",2009
1957 | 1968,泰国,亚洲,"66,866,839",2009
1958 | 1969,法国,欧洲,"64,707,040",2009
1959 | 1970,刚果（金）,非洲,"62,448,574",2009
1960 | 1971,英国,欧洲,"62,276,270",2009
1961 | 1972,意大利,欧洲,"59,095,365",2009
1962 | 1973,南非,非洲,"50,477,011",2009
1963 | 1974,缅甸,亚洲,"50,250,367",2009
1964 | 1975,韩国,亚洲,"49,307,835",2009
1965 | 1976,西班牙,欧洲,"46,362,946",2009
1966 | 1977,乌克兰,欧洲,"46,053,300",2009
1967 | 1978,哥伦比亚,美洲,"44,750,054",2009
1968 | 1979,坦桑尼亚,非洲,"43,073,834",2009
1969 | 1980,肯尼亚,非洲,"40,901,792",2009
1970 | 1981,阿根廷,美洲,"40,482,788",2009
1971 | 1982,波兰,欧洲,"38,151,603",2009
1972 | 1983,阿尔及利亚,非洲,"35,333,881",2009
1973 | 1984,苏丹,非洲,"33,783,788",2009
1974 | 1985,加拿大,美洲,"33,628,895",2009
1975 | 1986,摩洛哥,非洲,"31,929,087",2009
1976 | 1987,乌干达,非洲,"31,411,096",2009
1977 | 1988,伊拉克,亚洲,"28,973,162",2009
1978 | 1989,中国,亚洲,"1,337,705,000",2010
1979 | 1990,印度,亚洲,"1,234,281,170",2010
1980 | 1991,美国,美洲,"309,326,085",2010
1981 | 1992,印尼,亚洲,"241,834,215",2010
1982 | 1993,巴西,美洲,"195,713,635",2010
1983 | 1994,巴基斯坦,亚洲,"179,424,641",2010
1984 | 1995,尼日利亚,非洲,"158,503,197",2010
1985 | 1996,孟加拉,亚洲,"147,575,430",2010
1986 | 1997,俄罗斯,欧洲,"142,849,449",2010
1987 | 1998,日本,亚洲,"128,070,000",2010
1988 | 1999,墨西哥,美洲,"114,092,963",2010
1989 | 2000,菲律宾,亚洲,"93,966,780",2010
1990 | 2001,越南,亚洲,"87,967,651",2010
1991 | 2002,埃塞俄比亚,非洲,"87,639,964",2010
1992 | 2003,埃及,非洲,"82,761,235",2010
1993 | 2004,德国,欧洲,"81,776,930",2010
1994 | 2005,伊朗,亚洲,"73,762,519",2010
1995 | 2006,土耳其,欧洲,"72,326,988",2010
1996 | 2007,泰国,亚洲,"67,195,028",2010
1997 | 2008,法国,欧洲,"65,027,507",2010
1998 | 2009,刚果（金）,非洲,"64,563,854",2010
1999 | 2010,英国,欧洲,"62,766,365",2010
2000 | 2011,意大利,欧洲,"59,277,417",2010
2001 | 2012,南非,非洲,"51,216,964",2010
2002 | 2013,缅甸,亚洲,"50,600,818",2010
2003 | 2014,韩国,亚洲,"49,554,112",2010
2004 | 2015,西班牙,欧洲,"46,576,897",2010
2005 | 2016,乌克兰,欧洲,"45,870,700",2010
2006 | 2017,哥伦比亚,美洲,"45,222,700",2010
2007 | 2018,坦桑尼亚,非洲,"44,346,525",2010
2008 | 2019,肯尼亚,非洲,"42,030,676",2010
2009 | 2020,阿根廷,美洲,"40,788,453",2010
2010 | 2021,波兰,欧洲,"38,042,794",2010
2011 | 2022,阿尔及利亚,非洲,"35,977,455",2010
2012 | 2023,苏丹,非洲,"34,545,013",2010
2013 | 2024,加拿大,美洲,"34,004,889",2010
2014 | 2025,乌干达,非洲,"32,428,167",2010
2015 | 2026,摩洛哥,非洲,"32,343,389",2010
2016 | 2027,伊拉克,亚洲,"29,741,976",2010
2017 | 2028,中国,亚洲,"1,344,130,000",2011
2018 | 2029,印度,亚洲,"1,250,288,729",2011
2019 | 2030,美国,美洲,"311,580,009",2011
2020 | 2031,印尼,亚洲,"245,116,206",2011
2021 | 2032,巴西,美洲,"197,514,534",2011
2022 | 2033,巴基斯坦,亚洲,"183,340,592",2011
2023 | 2034,尼日利亚,非洲,"162,805,071",2011
2024 | 2035,孟加拉,亚洲,"149,273,778",2011
2025 | 2036,俄罗斯,欧洲,"142,960,868",2011
2026 | 2037,日本,亚洲,"127,833,000",2011
2027 | 2038,墨西哥,美洲,"115,695,473",2011
2028 | 2039,菲律宾,亚洲,"95,570,047",2011
2029 | 2040,埃塞俄比亚,非洲,"90,139,927",2011
2030 | 2041,越南,亚洲,"88,871,561",2011
2031 | 2042,埃及,非洲,"84,529,250",2011
2032 | 2043,德国,欧洲,"80,274,983",2011
2033 | 2044,伊朗,亚洲,"74,634,956",2011
2034 | 2045,土耳其,欧洲,"73,443,863",2011
2035 | 2046,泰国,亚洲,"67,518,382",2011
2036 | 2047,刚果（金）,非洲,"66,755,153",2011
2037 | 2048,法国,欧洲,"65,342,780",2011
2038 | 2049,英国,欧洲,"63,258,918",2011
2039 | 2050,意大利,欧洲,"59,379,449",2011
2040 | 2051,南非,非洲,"52,004,172",2011
2041 | 2052,缅甸,亚洲,"50,990,615",2011
2042 | 2053,韩国,亚洲,"49,936,638",2011
2043 | 2054,西班牙,欧洲,"46,742,697",2011
2044 | 2055,乌克兰,欧洲,"45,706,100",2011
2045 | 2056,坦桑尼亚,非洲,"45,673,338",2011
2046 | 2057,哥伦比亚,美洲,"45,663,099",2011
2047 | 2058,肯尼亚,非洲,"43,178,257",2011
2048 | 2059,阿根廷,美洲,"41,261,490",2011
2049 | 2060,波兰,欧洲,"38,063,255",2011
2050 | 2061,阿尔及利亚,非洲,"36,661,444",2011
2051 | 2062,苏丹,非洲,"35,349,681",2011
2052 | 2063,加拿大,美洲,"34,339,328",2011
2053 | 2064,乌干达,非洲,"33,476,919",2011
2054 | 2065,摩洛哥,非洲,"32,781,850",2011
2055 | 2066,伊拉克,亚洲,"30,725,300",2011
2056 | 2067,中国,亚洲,"1,350,695,000",2012
2057 | 2068,印度,亚洲,"1,265,782,790",2012
2058 | 2069,美国,美洲,"313,874,218",2012
2059 | 2070,印尼,亚洲,"248,452,413",2012
2060 | 2071,巴西,美洲,"199,287,296",2012
2061 | 2072,巴基斯坦,亚洲,"187,281,475",2012
2062 | 2073,尼日利亚,非洲,"167,228,767",2012
2063 | 2074,孟加拉,亚洲,"151,007,807",2012
2064 | 2075,俄罗斯,欧洲,"143,201,676",2012
2065 | 2076,日本,亚洲,"127,629,000",2012
2066 | 2077,墨西哥,美洲,"117,274,155",2012
2067 | 2078,菲律宾,亚洲,"97,212,638",2012
2068 | 2079,埃塞俄比亚,非洲,"92,726,971",2012
2069 | 2080,越南,亚洲,"89,802,487",2012
2070 | 2081,埃及,非洲,"86,422,240",2012
2071 | 2082,德国,欧洲,"80,425,823",2012
2072 | 2083,伊朗,亚洲,"75,539,862",2012
2073 | 2084,土耳其,欧洲,"74,653,016",2012
2074 | 2085,刚果（金）,非洲,"69,020,747",2012
2075 | 2086,泰国,亚洲,"67,835,957",2012
2076 | 2087,法国,欧洲,"65,659,809",2012
2077 | 2088,英国,欧洲,"63,700,300",2012
2078 | 2089,意大利,欧洲,"59,539,717",2012
2079 | 2090,南非,非洲,"52,834,005",2012
2080 | 2091,缅甸,亚洲,"51,413,698",2012
2081 | 2092,韩国,亚洲,"50,199,853",2012
2082 | 2093,坦桑尼亚,非洲,"47,052,481",2012
2083 | 2094,西班牙,欧洲,"46,773,055",2012
2084 | 2095,哥伦比亚,美洲,"46,076,848",2012
2085 | 2096,乌克兰,欧洲,"45,593,300",2012
2086 | 2097,肯尼亚,非洲,"44,343,410",2012
2087 | 2098,阿根廷,美洲,"41,733,271",2012
2088 | 2099,波兰,欧洲,"38,063,164",2012
2089 | 2100,阿尔及利亚,非洲,"37,383,887",2012
2090 | 2101,苏丹,非洲,"36,193,783",2012
2091 | 2102,加拿大,美洲,"34,714,222",2012
2092 | 2103,乌干达,非洲,"34,559,168",2012
2093 | 2104,摩洛哥,非洲,"33,241,898",2012
2094 | 2105,伊拉克,亚洲,"31,890,011",2012
2095 | 2106,中国,亚洲,"1,357,380,000",2013
2096 | 2107,印度,亚洲,"1,280,846,129",2013
2097 | 2108,美国,美洲,"316,057,727",2013
2098 | 2109,印尼,亚洲,"251,806,402",2013
2099 | 2110,巴西,美洲,"201,035,903",2013
2100 | 2111,巴基斯坦,亚洲,"191,262,919",2013
2101 | 2112,尼日利亚,非洲,"171,765,769",2013
2102 | 2113,孟加拉,亚洲,"152,764,676",2013
2103 | 2114,俄罗斯,欧洲,"143,506,911",2013
2104 | 2115,日本,亚洲,"127,445,000",2013
2105 | 2116,墨西哥,美洲,"118,827,161",2013
2106 | 2117,菲律宾,亚洲,"98,871,552",2013
2107 | 2118,埃塞俄比亚,非洲,"95,385,785",2013
2108 | 2119,越南,亚洲,"90,753,472",2013
2109 | 2120,埃及,非洲,"88,404,640",2013
2110 | 2121,德国,欧洲,"80,645,605",2013
2111 | 2122,伊朗,亚洲,"76,481,943",2013
2112 | 2123,土耳其,欧洲,"75,928,564",2013
2113 | 2124,刚果（金）,非洲,"71,358,807",2013
2114 | 2125,泰国,亚洲,"68,144,501",2013
2115 | 2126,法国,欧洲,"65,998,687",2013
2116 | 2127,英国,欧洲,"64,128,226",2013
2117 | 2128,意大利,欧洲,"60,233,948",2013
2118 | 2129,南非,非洲,"53,689,236",2013
2119 | 2130,缅甸,亚洲,"51,852,451",2013
2120 | 2131,韩国,亚洲,"50,428,893",2013
2121 | 2132,坦桑尼亚,非洲,"48,482,266",2013
2122 | 2133,西班牙,欧洲,"46,620,045",2013
2123 | 2134,哥伦比亚,美洲,"46,497,267",2013
2124 | 2135,肯尼亚,非洲,"45,519,889",2013
2125 | 2136,乌克兰,欧洲,"45,489,600",2013
2126 | 2137,阿根廷,美洲,"42,202,935",2013
2127 | 2138,阿尔及利亚,非洲,"38,140,132",2013
2128 | 2139,波兰,欧洲,"38,040,196",2013
2129 | 2140,苏丹,非洲,"37,072,550",2013
2130 | 2141,乌干达,非洲,"35,695,246",2013
2131 | 2142,加拿大,美洲,"35,082,954",2013
2132 | 2143,摩洛哥,非洲,"33,715,693",2013
2133 | 2144,伊拉克,亚洲,"33,157,050",2013
2134 | 2145,中国,亚洲,"1,364,270,000",2014
2135 | 2146,印度,亚洲,"1,295,604,184",2014
2136 | 2147,美国,美洲,"318,386,421",2014
2137 | 2148,印尼,亚洲,"255,129,004",2014
2138 | 2149,巴西,美洲,"202,763,735",2014
2139 | 2150,巴基斯坦,亚洲,"195,306,825",2014
2140 | 2151,尼日利亚,非洲,"176,404,902",2014
2141 | 2152,孟加拉,亚洲,"154,520,167",2014
2142 | 2153,俄罗斯,欧洲,"143,819,666",2014
2143 | 2154,日本,亚洲,"127,276,000",2014
2144 | 2155,墨西哥,美洲,"120,355,128",2014
2145 | 2156,菲律宾,亚洲,"100,513,138",2014
2146 | 2157,埃塞俄比亚,非洲,"98,094,253",2014
2147 | 2158,越南,亚洲,"91,714,595",2014
2148 | 2159,埃及,非洲,"90,424,654",2014
2149 | 2160,德国,欧洲,"80,982,500",2014
2150 | 2161,伊朗,亚洲,"77,465,753",2014
2151 | 2162,土耳其,欧洲,"77,231,907",2014
2152 | 2163,刚果（金）,非洲,"73,767,447",2014
2153 | 2164,泰国,亚洲,"68,438,730",2014
2154 | 2165,法国,欧洲,"66,316,100",2014
2155 | 2166,英国,欧洲,"64,613,160",2014
2156 | 2167,意大利,欧洲,"60,789,140",2014
2157 | 2168,南非,非洲,"54,545,991",2014
2158 | 2169,缅甸,亚洲,"52,280,807",2014
2159 | 2170,韩国,亚洲,"50,746,659",2014
2160 | 2171,坦桑尼亚,非洲,"49,959,822",2014
2161 | 2172,哥伦比亚,美洲,"46,969,209",2014
2162 | 2173,肯尼亚,非洲,"46,699,981",2014
2163 | 2174,西班牙,欧洲,"46,480,882",2014
2164 | 2175,乌克兰,欧洲,"45,271,947",2014
2165 | 2176,阿根廷,美洲,"42,669,500",2014
2166 | 2177,阿尔及利亚,非洲,"38,923,687",2014
2167 | 2178,波兰,欧洲,"38,011,735",2014
2168 | 2179,苏丹,非洲,"37,977,655",2014
2169 | 2180,乌干达,非洲,"36,912,148",2014
2170 | 2181,加拿大,美洲,"35,437,435",2014
2171 | 2182,伊拉克,亚洲,"34,411,951",2014
2172 | 2183,摩洛哥,非洲,"34,192,347",2014
2173 | 2184,中国,亚洲,"1,371,220,000",2015
2174 | 2185,印度,亚洲,"1,310,152,403",2015
2175 | 2186,美国,美洲,"320,742,673",2015
2176 | 2187,印尼,亚洲,"258,383,256",2015
2177 | 2188,巴西,美洲,"204,471,769",2015
2178 | 2189,巴基斯坦,亚洲,"199,426,964",2015
2179 | 2190,尼日利亚,非洲,"181,137,448",2015
2180 | 2191,孟加拉,亚洲,"156,256,276",2015
2181 | 2192,俄罗斯,欧洲,"144,096,870",2015
2182 | 2193,日本,亚洲,"127,141,000",2015
2183 | 2194,墨西哥,美洲,"121,858,258",2015
2184 | 2195,菲律宾,亚洲,"102,113,212",2015
2185 | 2196,埃塞俄比亚,非洲,"100,835,458",2015
2186 | 2197,越南,亚洲,"92,677,076",2015
2187 | 2198,埃及,非洲,"92,442,547",2015
2188 | 2199,德国,欧洲,"81,686,611",2015
2189 | 2200,土耳其,欧洲,"78,529,409",2015
2190 | 2201,伊朗,亚洲,"78,492,215",2015
2191 | 2202,刚果（金）,非洲,"76,244,544",2015
2192 | 2203,泰国,亚洲,"68,714,511",2015
2193 | 2204,法国,欧洲,"66,593,366",2015
2194 | 2205,英国,欧洲,"65,128,861",2015
2195 | 2206,意大利,欧洲,"60,730,582",2015
2196 | 2207,南非,非洲,"55,386,367",2015
2197 | 2208,缅甸,亚洲,"52,680,726",2015
2198 | 2209,坦桑尼亚,非洲,"51,482,633",2015
2199 | 2210,韩国,亚洲,"51,014,947",2015
2200 | 2211,肯尼亚,非洲,"47,878,336",2015
2201 | 2212,哥伦比亚,美洲,"47,520,667",2015
2202 | 2213,西班牙,欧洲,"46,444,832",2015
2203 | 2214,乌克兰,欧洲,"45,154,029",2015
2204 | 2215,阿根廷,美洲,"43,131,966",2015
2205 | 2216,阿尔及利亚,非洲,"39,728,025",2015
2206 | 2217,苏丹,非洲,"38,902,950",2015
2207 | 2218,乌干达,非洲,"38,225,453",2015
2208 | 2219,波兰,欧洲,"37,986,412",2015
2209 | 2220,加拿大,美洲,"35,702,908",2015
2210 | 2221,伊拉克,亚洲,"35,572,261",2015
2211 | 2222,摩洛哥,非洲,"34,663,603",2015
2212 | 2223,中国,亚洲,"1,378,665,000",2016
2213 | 2224,印度,亚洲,"1,324,509,589",2016
2214 | 2225,美国,美洲,"323,071,342",2016
2215 | 2226,印尼,亚洲,"261,554,226",2016
2216 | 2227,巴西,美洲,"206,163,058",2016
2217 | 2228,巴基斯坦,亚洲,"203,627,284",2016
2218 | 2229,尼日利亚,非洲,"185,960,289",2016
2219 | 2230,孟加拉,亚洲,"157,970,840",2016
2220 | 2231,俄罗斯,欧洲,"144,342,396",2016
2221 | 2232,日本,亚洲,"126,994,511",2016
2222 | 2233,墨西哥,美洲,"123,333,376",2016
2223 | 2234,菲律宾,亚洲,"103,663,927",2016
2224 | 2235,埃塞俄比亚,非洲,"103,603,501",2016
2225 | 2236,埃及,非洲,"94,447,072",2016
2226 | 2237,越南,亚洲,"93,638,724",2016
2227 | 2238,德国,欧洲,"82,348,669",2016
2228 | 2239,土耳其,欧洲,"79,821,724",2016
2229 | 2240,伊朗,亚洲,"79,564,016",2016
2230 | 2241,刚果（金）,非洲,"78,789,127",2016
2231 | 2242,泰国,亚洲,"68,971,331",2016
2232 | 2243,法国,欧洲,"66,859,768",2016
2233 | 2244,英国,欧洲,"65,595,565",2016
2234 | 2245,意大利,欧洲,"60,627,498",2016
2235 | 2246,南非,非洲,"56,203,654",2016
2236 | 2247,坦桑尼亚,非洲,"53,050,790",2016
2237 | 2248,缅甸,亚洲,"53,045,226",2016
2238 | 2249,韩国,亚洲,"51,245,707",2016
2239 | 2250,肯尼亚,非洲,"49,051,686",2016
2240 | 2251,哥伦比亚,美洲,"48,171,392",2016
2241 | 2252,西班牙,欧洲,"46,483,569",2016
2242 | 2253,乌克兰,欧洲,"45,004,645",2016
2243 | 2254,阿根廷,美洲,"43,590,368",2016
2244 | 2255,阿尔及利亚,非洲,"40,551,404",2016
2245 | 2256,苏丹,非洲,"39,847,440",2016
2246 | 2257,乌干达,非洲,"39,647,506",2016
2247 | 2258,波兰,欧洲,"37,970,087",2016
2248 | 2259,伊拉克,亚洲,"36,610,632",2016
2249 | 2260,加拿大,美洲,"36,109,487",2016
2250 | 2261,阿富汗,亚洲,"35,383,128",2016
2251 | 2262,中国,亚洲,"1,386,395,000",2017
2252 | 2263,印度,亚洲,"1,338,658,835",2017
2253 | 2264,美国,美洲,"325,147,121",2017
2254 | 2265,印尼,亚洲,"264,645,886",2017
2255 | 2266,巴基斯坦,亚洲,"207,896,686",2017
2256 | 2267,巴西,美洲,"207,833,831",2017
2257 | 2268,尼日利亚,非洲,"190,873,311",2017
2258 | 2269,孟加拉,亚洲,"159,670,593",2017
2259 | 2270,俄罗斯,欧洲,"144,496,740",2017
2260 | 2271,日本,亚洲,"126,785,797",2017
2261 | 2272,墨西哥,美洲,"124,777,324",2017
2262 | 2273,埃塞俄比亚,非洲,"106,400,024",2017
2263 | 2274,菲律宾,亚洲,"105,173,264",2017
2264 | 2275,埃及,非洲,"96,442,593",2017
2265 | 2276,越南,亚洲,"94,596,642",2017
2266 | 2277,德国,欧洲,"82,657,002",2017
2267 | 2278,刚果（金）,非洲,"81,398,764",2017
2268 | 2279,土耳其,欧洲,"81,101,892",2017
2269 | 2280,伊朗,亚洲,"80,673,951",2017
2270 | 2281,泰国,亚洲,"69,209,858",2017
2271 | 2282,法国,欧洲,"66,865,144",2017
2272 | 2283,英国,欧洲,"66,058,859",2017
2273 | 2284,意大利,欧洲,"60,536,709",2017
2274 | 2285,南非,非洲,"57,000,451",2017
2275 | 2286,坦桑尼亚,非洲,"54,663,906",2017
2276 | 2287,缅甸,亚洲,"53,382,581",2017
2277 | 2288,韩国,亚洲,"51,466,201",2017
2278 | 2289,肯尼亚,非洲,"50,221,473",2017
2279 | 2290,哥伦比亚,美洲,"48,901,066",2017
2280 | 2291,西班牙,欧洲,"46,593,236",2017
2281 | 2292,乌克兰,欧洲,"44,831,135",2017
2282 | 2293,阿根廷,美洲,"44,044,811",2017
2283 | 2294,阿尔及利亚,非洲,"41,389,198",2017
2284 | 2295,乌干达,非洲,"41,162,465",2017
2285 | 2296,苏丹,非洲,"40,813,396",2017
2286 | 2297,波兰,欧洲,"37,974,826",2017
2287 | 2298,伊拉克,亚洲,"37,552,781",2017
2288 | 2299,加拿大,美洲,"36,540,268",2017
2289 | 2300,阿富汗,亚洲,"36,296,400",2017
2290 | 2301,中国,亚洲,"1,392,730,000",2018
2291 | 2302,印度,亚洲,"1,352,617,328",2018
2292 | 2303,美国,美洲,"327,167,434",2018
2293 | 2304,印尼,亚洲,"267,663,435",2018
2294 | 2305,巴基斯坦,亚洲,"212,215,030",2018
2295 | 2306,巴西,美洲,"209,469,333",2018
2296 | 2307,尼日利亚,非洲,"195,874,740",2018
2297 | 2308,孟加拉,亚洲,"161,356,039",2018
2298 | 2309,俄罗斯,欧洲,"144,478,050",2018
2299 | 2310,日本,亚洲,"126,529,100",2018
2300 | 2311,墨西哥,美洲,"126,190,788",2018
2301 | 2312,埃塞俄比亚,非洲,"109,224,559",2018
2302 | 2313,菲律宾,亚洲,"106,651,922",2018
2303 | 2314,埃及,非洲,"98,423,595",2018
2304 | 2315,越南,亚洲,"95,540,395",2018
2305 | 2316,刚果（金）,非洲,"84,068,091",2018
2306 | 2317,德国,欧洲,"82,927,922",2018
2307 | 2318,土耳其,欧洲,"82,319,724",2018
2308 | 2319,伊朗,亚洲,"81,800,269",2018
2309 | 2320,泰国,亚洲,"69,428,524",2018
2310 | 2321,法国,欧洲,"66,987,244",2018
2311 | 2322,英国,欧洲,"66,488,991",2018
2312 | 2323,意大利,欧洲,"60,431,283",2018
2313 | 2324,南非,非洲,"57,779,622",2018
2314 | 2325,坦桑尼亚,非洲,"56,318,348",2018
2315 | 2326,缅甸,亚洲,"53,708,395",2018
2316 | 2327,韩国,亚洲,"51,635,256",2018
2317 | 2328,肯尼亚,非洲,"51,393,010",2018
2318 | 2329,哥伦比亚,美洲,"49,648,685",2018
2319 | 2330,西班牙,欧洲,"46,723,749",2018
2320 | 2331,乌克兰,欧洲,"44,622,516",2018
2321 | 2332,阿根廷,美洲,"44,494,502",2018
2322 | 2333,乌干达,非洲,"42,723,139",2018
2323 | 2334,阿尔及利亚,非洲,"42,228,429",2018
2324 | 2335,苏丹,非洲,"41,801,533",2018
2325 | 2336,伊拉克,亚洲,"38,433,600",2018
2326 | 2337,波兰,欧洲,"37,978,548",2018
2327 | 2338,阿富汗,亚洲,"37,172,386",2018
2328 | 2339,加拿大,美洲,"37,058,856",2018
2329 | 


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