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  With the continuous advancement of my country's economic development and social changes, the pattern of population migration has also changed accordingly. The continuous acceleration of urbanization has gradually formed a pattern in which central cities drive urban agglomerations, which in turn drive regional economic development. In addition, with the rapid improvement of transportation infrastructure, especially the high-speed rail network, population mobility has greatly increased, and my country's population has shown the characteristics of accelerating agglomeration in central cities and urban agglomerations in terms of spatial structure. From the migration and flow of population, we can understand information on various aspects of economic development, public services, urban planning and governance capabilities of various cities. From a more macro perspective, analyzing population mobility and migration plays an important role in adjusting population policies, analyzing labor surpluses and shortages, promoting regional cultural exchanges, and even the integration of ethnic groups and races.

  Especially during the 2019 COVID-19 pandemic, population mobility information is crucial. Due to the current developed transportation and the outbreak of the epidemic around the Spring Festival, high-frequency and large-scale population movement has brought difficulties to epidemic prevention and control. The restrictions on population movement in various regions can reflect the local prevention and control level to a certain extent; through the insight into the flow and change trend of population, various regions and departments can carry out urban management, resource planning and allocation more efficiently.

  The CnOpenData data team launched population migration big data, including information on the source of migration in each region, information on the destination of migration in each region, and information on the travel intensity within each city Three sub-modules, covering the overall trend of migration in and out of cities and provinces and detailed data on migration in and out, providing high-quality big data samples for related research.

Time interval

  • Trend and detailed table: 2020.01.12-2020.03.31; 2020.9.22-2021.3.8; 2021.9.13-2022.4.30;
  • Intra-city travel intensity information: 2019.01.12-2020.03.31

Field display

Information module of the source of migration in each region

Overall trend of the source city of migration General trend of the province of immigration Details of the city of immigration Details of the province of immigration
Immigration city Immigration province Immigration city Immigration province
Immigration city code Immigration province code Immigration city code Immigration province code
Immigration type Immigration type Type of migration Type of migration
Date Date Date Date
Migration scale index Migration scale index Source city of migration Source city of migration
Source city code of migration Source city code of migration
Province of the source of immigrants Ratio of immigrant population
Province code of the source of immigrants
Ratio of immigrant population

Information module of the destination of immigrants in each region

< /tr>
Immigration Destination city general trend Outgoing destination province general trend Outgoing destination city details Outgoing destination province details
Outgoing city Outgoing province Outgoing city Outgoing province
Outgoing city code Outgoing province code Outgoing city code Outgoing province code
In-migration and out-migration type Type of migration Type of migration Type of migration
Date Date Date Date
Migration scale index Migration scale index Destination city Destination province
Destination city code Destination province code
Province of the destination Ratio of the population that has moved out
Province code of the destination
Ratio of the population that has moved out

Travel intensity information module within each city

Intra-city travel intensity information
City
City code
Date
Intra-city travel intensity index

Sample data

Overall trend of cities of origin of migration

< td>0.3294108move_in
Incoming cities City Incoming city code Incoming and outgoing type Date Migration scale index
Xing'an League 152200 move_in 20190112 0.2923776
Xing'an League 152200 move_in 20190113 move_in 20190115 0.2729376
Xing'an League 152200 move_in 20190116 0.287874
Xing'an League 152200 move_in 20190117 0.2818476
Xing'an League 152200 move_in 20190118 0.272322
Xing'an League 1 0.272 5164
Xing'an League 152200 move_in 20190121 0.2928636
Xing'an League 152200 move_in 20190122 0.3074112
Xing'an League 152200 move_in 2 0190123 0.3002508
Xing'an League 152200 move_in 20190124 0.2927016
Xinggan League 152200 move_in 20190125 0.2969784
Xinggan League 1522 00 move_in 20190126 0.3220236
Xing'an League 152200 mo ve_in 20190127 0.3192048
Xing'an League 152200 move_in 20190128 0.289818
Xing'an League 152200 move_in 20190129 0.3302208
Xing'an League 152200 move_in 20190130 0.3269808
Xing'an League 152200 move_in 20190131
Xing'an League 152200 move_in 20190201 0.3515076< /td>
Xing'an League 152200 move_in 20190202 0.3650184
Xing'an League 152200 move_in 20190203 0.30942
Xing'an League 152200 move_in 2019 1 52200 move_in 20190206 0.4611168
Xing'an League 152200 20190207 0.4774788
Xing'an League 152200 move_in 20190208 0.4261248
Xing'an League 152200 move_in 20190209 0.3910356
Xing Anmeng 152200 move_in 20190210 0.4724244

Overall trend of provinces of migration

< td>11.013440420190208
Provinces of migration Province of migration code Type of migration Date Migration scale index
Beijing 110000 move_in 20190112 7.6650624
Beijing 110000 move_in 201901 13 7.8045444
Beijing 110000 move_in 20190114
Beijing 110000 move_in 20190115 8.2183572
Beijing 110000 move_in 20190116 7.8952644
Beijing 110000 move_in< /td> 20190117 8.4018384
Beijing 110000 move_in 20190118 8.1269568
Beijing 110000 move_in 20190119 7.9356672
Beijing 1 10000 move_in 20190120 8.11053
Beijing 110000 move_in 20190121 10.45373 04
Beijing 110000 move_in 20190122 8.3364876
Beijing 110000 move_in 20190123 8.807454
Beijing 110000 move_in 2019012 4 9.0318564
Beijing 110000 move_in 20190125 8.493012
Beijing 110000 move_in 20190126 8.2345248
Beijing 110000 mo ve_in 20190127 8.0546076
Beijing 110000 move_in 20190128 9.7160148
Beijing 110000 move_in 20190129 7.2672552
Beijing 110000 move_in 20190130 6.6908268
Beijing 11000 0 move_in 20190131 6.5529972
Beijing 110000 move_in 20190201 5.969214
Beijing 110000 move_in 20190202 5.3755488
Beijing 110000 move_in 20190203 4.8103632
Beijing 110000 move_in 20190204 4.38372
Beijing 110000 move_in 20190205 4.72 72248
Beijing 110000 move_in 20190206 7.8309504
Beijing 110000 move_in 20190207 10.1478744
Beijing 110000 move_in 12.6268308
Beijing 110000 move_in 20190209 15.7712184
Beijing 110000 move_in 20190210 23.261256

Details of cities of origin of migration

City of migration City of migration code Province of migration Province code of migration Type of migration Date City of migration City code of migration Province of migration Province code of migration Ratio of migration population
廊坊市 131000 河北省 130000 move_in 20200101 北京 110000 北京 110000 21.72
保定市 130600 河北省 130000 move_in 20200101 北京 110000 北京 110000 9.83
天津市 120000 天津市 120000 move_in 20200101 北京 110000 北京 110000 7.79
张家口市 130700 河北省 130000 move_in 20200101 北京 110000 北京 110000 4.37
承德市 130800 河北省 130000 move_in 20200101 北京 110000 北京 110000 2.46
唐山市 130200 河北省 130000 move_in 20200101 北京 110000 北京 110000 2.42
石家庄市 130100 河北省 130000 move_in 20200101 北京 110000 北京 110000 2.39
沧州市 130900 河北省 130000 move_in 20200101 北京 110000 北京 110000 1.92
邯郸市 130400 河北省 130000 move_in 20200101 北京 110000 北京 110000 1.81
上海市 310000 上海市 310000 move_in 20200101 北京 110000 北京 110000 1.62
衡水市 131100 河北省 130000 move_in 20200101 北京 110000 北京 110000 1.38
郑州市 410100 河南省 410000 move_in 20200101 北京 110000 北京 110000 1.19
邢台市 130500 河北省 130000 move_in 20200101 北京 110000 北京 110000 1.1
哈尔滨市 230100 黑龙江省 230000 move_in 20200101 北京 110000 北京 110000 0.97
秦皇岛市 130300 河北省 130000 move_in 20200101 北京 110000 北京 110000 0.95
西安市 610100 陕西省 610000 move_in 20200101 北京 110000 北京 110000 0.93
济南市 山东省 370000 move_in 20200101 北京 110000 北京 110000 0.88
沈阳市 210100 辽宁省 210000 move_in 20200101 北京 110000 北京 110000 0.82
成都市 510100 四川省 510000 move_in 20200101 北京 110000 北京 110000 0.81
太原市 140100 山西省 140000 move_in 20200101 北京 110000 北京 110000 0.8
大同市 140200 山西省 140000 move_in 20200101 北京 110000 北京 110000 0.77
深圳市 440300 广东省 440000 move_in 20200101 北京 110000 北京 110000 0.77
呼和浩特市 150100 内蒙古自治区 150000 move_in 20200101 北京 110000 北京 110000 0.76
广州市 440100 广东省 440000 move_in 20200101 北京 110000 北京 110000 0.75
赤峰市 150400 内蒙古自治区 150000 move_in 20200101 北京 110000 北京 110000 0.73
青岛市 370200 山东省 370000 move_in 20200101 北京 110000 北京 110000 0.71
武汉市 420100 湖北省 420000 move_in 20200101 北京 110000 北京 110000 0.7
长春市 220100 吉林省 220000 move_in 20200101 北京 110000 北京 110000 0.7
德州市 371400 山东省 370000 move_in 20200101 北京 110000 北京 110000 0.65
南京市 320100 江苏省 320000 move_in 20200101 北京 110000 北京 110000 0.61

Details of provinces of migrants

16.19 < td>20200214move_in < td>ZhaotongZhaotong Yunnan 20200215 < td>1.05
migrant provinces migrant province code migration type date migrant city migrant city code migrant city province migrant city province code migrant population ratio
Hainan Province 460000 move_in 20200213 Zhao Tong 530600 Yunnan 530000 0.01
Sichuan Province 510000 move_in 20200214 Zhaotong 530600 Yunnan 530000 56.65
Yunnan Province 530000 move_in 20200214 Zhaotong 530600 Yun South 530000 23.54
Guizhou Province 520000 move_in 20200214 Zhaotong 530600 Yunnan 530000
Chongqing 500000 move_in 20200214 Zhaotong 530600 Yunnan 530000 0.72
Guangxi Zhuang Autonomous Region 4500 00 move_in 20200214 Zhaotong 530600 Yunnan 530000 0.47
Guangdong Province 440000 move_in Zhaotong 530600 Yunnan 530000 0.37
Hunan Province 430000 move_in 20200214 Zhaotong 530600 Yunnan 530000 0.32
Zhejiang Province 330000 move_in 20200214 Zhaotong 530600 Yunnan 530000 0.27
Hebei Province 130000 move_in 20200214 Zhaotong 530600 Yunnan 530000 0.24
Shaanxi Province 610000 move_in 20200214 Zhaotong 530600 Yunnan 530000 0.23
Mountain Western Province 140000 move_in 20200214 Zhaotong 530600 Yunnan 530000 0.14
Henan Province 410000 20200214 Zhaotong 530600 Yunnan 530000 0.1
Fujian Province 350000 mo ve_in 20200214 Zhaotong 530600 Yunnan 530000 0.1
Shandong Province 370000 move_in 20200214 Zhaotong 53060 0 Yunnan 530000 0.08
Gansu Province 620000 move_in 20200214 Zhaotong 530600 Yunnan 530 000 0.07
Jiangsu Province 320000 move_in 20200214 Zhaotong 530600 Yunnan 53000 0 0.07
Shanghai 310000 move_in 20200214 Zhaotong 530600 Yunnan 530000 0.05
Hainan Province 460000 move_in 20200214 Zhaotong 530600 Yunnan 530000 0.04
Jiangxi Province 36 0000 move_in 20200214 Zhaotong 530600 Yunnan 530000 0.04
Ningxia Hui Autonomous Region 640000 move_in 20200214 530600 Yunnan 530000 0.03
Heilongjiang Province 230000 move_in 20200214 530600 Yunnan 530000 0.03
Anhui Province 340000 move_in 20200214 Zhaotong 530600 530000 0.03
Beijing 110000 move_in 20200214 Zhaotong 530600 Yunnan 530000 0.01
Qinghai Province 630000 move_in 20200214 Zhaotong 530600 Yunnan 530000 0.01
Inner Mongolia Autonomous Region 150 000 move_in 20200214 Zhaotong 530600 Yunnan 530000 0.01
Sichuan Province 51000 0 move_in 20200215 Zhaotong 530600 Yunnan 530000 54.52
Yunnan Province 530000 move_in Zhaotong< /td> 530600 Yunnan 530000 27.48
Guizhou Province 520000 move_in 20200215 Zhaotong 530600 Yunnan 530000 13.76
Chongqing 500000 move_in 20200215 Zhaotong 530600 Yun South 530000

Overall trend of out-migration destination cities

move_out 20190122 < td>move_outmove_out move_out
Out-migration cities Out-migration city code In-migration and out-migration types Date Migration scale index
Xing'an League 152200 move_out 20190112 0.2764692
Xing'an League 152200 move _out 20190113 0.2617596
Xing'an League 152200 move_out 20190114 0.2814264
Xing'an League 152200 20190115 0.2637036
Xing'an League 152200 move_out 20190116 0.2696652
Xing'an League 152200 move_out 20190117 0.2622132
Xing'an League 152200 move_out 20190118 0.2673324
Xing'an League 152200 move_out 20190119 0.2839212
Xing'an League 152200 move_out 2 0190120 0.2679804
Xing'an League 152200 move_out 20190121 0.2807136
Xing'an League 152200 move_out 0.2752056
Xing'an League 152200 move_out 20190123 0.2814588
Xing'an League 152200 20190124 0.2875176
Xing'an League 152200 move_out 20190125 0.3008988
Xing'an League 152200 move_out 20190126 0.3031344
Xing'an League 152200 move_out 20190127 0.2913084
Xing'an League 152200 move_out 20190128 0.2536596
Xing'an League 152200 move_out 20190129 move_out 20190131 0.2805192
Xing'an League 152200 move_out 20190201 0.2937708
Xing'an League 152200 20190202 0.283338
Xing'an League 152200 move_out 20190203 0.2683692
Xing'an League 152200 move_out 20190204 0.2075544
Xing'an League 152200 move_out 20190205 0.1867536
Xing'an League 152200 move_out 20190206 0.407754
Xing'an League 152200 move_out 201 90207 0. 4778028
Xing'an League 152200 move_out 20190208 0.4813344
Xing'an League 152200 2 0190209 0.4999968
Xing'an League 152200 move_out 20190210 0.6706152

Total number of provinces in which people moved out Trend

< tr> < td>110000 < tr> 16.8861348 10.2357432 < td>move_out20190208
Outgoing province Outgoing province code Incoming and outgoing type Date Migration scale index
Beijing 110000 move_out 20190112 11.2168152
Beijing 110000 move_out 20190113 7.7077332
Beijing move_out 20190114 7.9039152
Beijing 110000 move_out 20190115 7. 7890572
Beijing 110000 move_out 20190116 8.2920996
Beijing 110000 move_out 201901 17 8.49 3012
Beijing 110000 move_out 20190118 9.471816
Beijing 110000 move_out 2019011 9 12.126834
Beijing 110000 move_out 20190120 9.4347828
Beijing 11000 0 move_out 20190121 9.63495
Beijing 110000 move_out 20190122 9.7305624
Beijing 110000 move_out 20190123 10.0894896
Beijing 110000 move_out 20190124 10.4697036
Beijing 110000 move_out 20190125 12.1305276
Beijing 110000 move_out 20190126 16.4122524
Beijing 110000 move_out 20190127 14.2420032
Beijing 110000 move_out 20190128 13.8025296
Beijing 110000 move_out 20190129 13.7589516
Beijing 110000 move_out 20190130 15.1157016
Beijing 110000 move_out 20190131 17.3083068
Beijing 110000 move_out 20190201 20.8861416
Beijing 110000 move_out 20190202 21.948084
Beijing< /td> 110000 move_out 20190203 20.105982
Beijing 110000 move_out 20190204
Beijing 110000 move_out 20190205 8.8961004
Beijing 110000 move_out 20 190206
Beijing 110000 move_out 20190207 8.8504164
Beijing 110000 7.9952832
Beijing 110000 move_out 20190209 7.7318388
Beijing 110000 move_out 20190210 8.1899748

Details of the destination city

Outgoing city Outgoing city code Outgoing city province Outgoing city province code In and out type Date Outgoing destination city Outgoing destination city code Outgoing destination province Outgoing destination province code Outgoing population ratio
景德镇市 360200 江西省 360000 move_out 20200313 安徽 340000 安徽 340000 0.17
邯郸市 130400 河北省 130000 move_out 20200313 安徽 340000 安徽 340000 0.17
新乡市 410700 河南省 410000 move_out 20200313 安徽 340000 安徽 340000 0.17
汕头市 440500 广东省 440000 move_out 20200313 安徽 340000 安徽 340000 0.16
昆明市 530100 云南省 530000 move_out 20200313 安徽 340000 安徽 340000 0.15
抚州市 361000 江西省 360000 move_out 20200313 安徽 340000 安徽 340000 0.15
保定市 130600 河北省 130000 move_out 20200313 安徽 340000 安徽 340000 0.15
宜春市 360900 江西省 360000 move_out 20200313 安徽 340000 安徽 340000 0.15
吉安市 360800 江西省 360000 move_out 20200313 安徽 340000 安徽 340000 0.14
洛阳市 410300 河南省 410000 move_out 20200313 安徽 340000 安徽 340000 0.14
沈阳市 210100 辽宁省 210000 move_out 20200313 安徽 340000 安徽 340000 0.14
丽水市 331100 浙江省 330000 move_out 20200313 安徽 340000 安徽 340000 0.14
威海市 371000 山东省 370000 move_out 20200313 安徽 340000 安徽 340000 0.13
太原市 140100 山西省 140000 move_out 20200313 安徽 340000 安徽 340000 0.13
南宁市 450100 广西壮族自治区 450000 move_out 20200313 安徽 340000 安徽 340000 0.12
沧州市 130900 河北省 130000 move_out 20200313 安徽 340000 安徽 340000 0.12
咸阳市 610400 陕西省 610000 move_out 20200313 安徽 340000 安徽 340000 0.11
德州市 371400 山东省 370000 move_out 20200313 安徽 340000 安徽 340000 0.11
贵阳市 520100 贵州省 520000 move_out 20200313 安徽 340000 安徽 340000 0.11
泰安市 370900 山东省 370000 move_out 20200313 安徽 340000 安徽 340000 0.11
漳州市 350600 福建省 350000 move_out 20200313 安徽 340000 安徽 340000 0.11
聊城市 371500 山东省 370000 move_out 20200313 安徽 340000 安徽 340000 0.11
中山市 442000 广东省 440000 move_out 20200313 安徽 340000 安徽 340000 0.1
日照市 371100 山东省 370000 move_out 20200313 安徽 340000 安徽 340000 0.1
漯河市 411100 河南省 410000 move_out 20200313 安徽 340000 安徽 340000 0.09
淄博市 370300 山东省 370000 move_out 20200313 安徽 340000 安徽 340000 0.09
安阳市 410500 河南省 410000 move_out 20200313 安徽 340000 安徽 340000 0.09
唐山市 130200 河北省 130000 move_out 20200313 安徽 340000 安徽 340000 0.09
揭阳市 445200 广东省 440000 move_out 20200313 安徽 340000 安徽 340000 0.09
潮州市 445100 广东省 440000 move_out 20200313 安徽 340000 安徽 340000 0.08

Details of the destination province

Yunnan < td>move_out530000 530000 < td>20200128
Department of Departure Department of Departure Code Type of Departure Date Department of Departure Department of Departure Code Department of Departure Province Department of Departure Province Code Ratio of population moving out
Jiangxi Province 360000 move_out 20200127 Pu'er 530800 Yunnan 530000 0.07
Anhui Province 340000 move_out 20200127 Pu'er 530800 Yunnan 530000 0.05
Liaoning Province 210000 move_out 20200127 Pu'er 530800 Yunnan 530000 0.03
Shaanxi Province 610000 move_out 20200127 Pu'er 530800 530000 0.02
Jilin Province 220000 move_out 20200127 Pu'er 530800 Yunnan 530000 0.01
Hainan Province 460000 move_out 20200127 Pu'er 530800 Yunnan< /td> 530000 0.01
Ningxia Hui Autonomous Region 640000 move_out 20200127 Pu'er 530800 Yunnan 530000 0.01
Hubei Province 420000 move_out 20200127 Pu'er 530800 Yunnan 530000 0.01
Yunnan Province 530000 move_out 20200128 Pu'er 530800 Yunnan< /td> 530000 93.11
Sichuan Province 510000 move_out 20200128 Pu'er 530800 Yunnan 530000 2.34
Guizhou Province 520000 move_out 20200128 Pu'er 530800 Yunnan 530000 1.19
Chongqing 500000 20200128 Pu'er 530800 Yunnan 530000 0.71
Guangdong Province 440000 move_out 20200128 Pu'er 530800 Yunnan 530000 0.5
Hunan Province 430000 move_out 20200128 Pu'er 530800 Yunnan 530000 0.4
Zhejiang Province 330000 mo ve_out 20200128 Pu'er 530800 Yunnan 530000 0.22
Guangxi Zhuang Autonomous Region 450000 move_out 20200128 Pu'er 530800 Yunnan 530000 0.17
Henan Province 410000 move_out 20200128 Pu'er 530800 Yunnan 530000 0.17
Beijing 110000 move_ out 20200128 Pu'er 530800 Yunnan 0.15
Anhui Province 340000 move_out 20200128 Pu'er 530800 Yunnan 0.14
Jiangxi Province 360000 mov e_out 20200128 Pu'er 530800 Yunnan 530000 0.14
Jiangsu Province 320000 move _out 20200128 Pu'er 530800 Yunnan 53 0000 0.14
Shanghai 310000 move_out 20200128 Pu'er 530800 Yunnan 530 000 0.14
Fujian Province 350000 move_ou t 20200128 Pu'er 530800 Yunnan 530000 0.11
Hubei Province 420000 move_ out 20200128 Pu'er 530800 Yunnan 53000 0 0.07
Shaanxi Province 610000 move_out 20200128 Pu'er 530800 Yunnan 530 000 0.06
Shandong Province 370000 move_out 20200128 Pu'er 530800 Yunnan 530000 0.03
Shanxi Province 140000 move_out 20200128 Pu'er 530800 Yunnan 530000 0.02
Hebei Province 130000 move_out 20200128 Pu'er 530800 Yunnan 530000 0.02
Liaoning Province 210000 move_out 20200128 Pu'er 530800 Yunnan 530000 0.02
Tianjin 120000 move_out Pu'er 530800 Yunnan 530000 0.01

Information on travel intensity within each city

5.1698
City City code Date Intra-city travel pre-index
Beijing 110000 2019011 2 3.8859
Beijing 110000 20190113 3.6699
Beijing 110000 20190114 5.2773
Beijing 110000 20190115< /td> 5.396
Beijing 110000 20190116 5.2085
Beijing 110000 20190117 5.314
Beijing 110000 20190118 5.4196
Beijing 110000 20190119 3.9943
Beijing 110000 20190120 3.7424
Beijing 110000 20190121 5.1219
Beijing 110000 20190122 5.0817
Beijing 110000 20190123 5.0606
Beijing 110000 20190124
Beijing 110000 20190125 4.9769
Beijing 110000 20190126 3.6434
Beijing 110000 20190127 3.3609
Beijing 110000 20190128 4.7515
Beijing 110000 20190129 4. 5689
Beijing 110000 20190130 4. 3338
Beijing 110000 20190131 4.2049
Beijing 110000 20190201 3.52 28
Beijing 110000 20190202 3.1 155
Beijing 110000 20190203 2.3946
Beijing 110000 20190204 2.075 2
Beijing 110000 20190205 1.950 5
Beijing 110000 20190206 2.0304
Beijing 110000 20190207 1.9313
Beijing 110000 20190208 1.9967< /td>
Beijing 110000 20190209 2.0932
Beijing 110000 20190210 2.1831

Data update frequency

Annual update

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