ChinaCensusLATEST POPULATION DATA
POPULATION CHANGE CHART IN RECENT YEARS
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| Indicator | 2024 | 2023 | 2022 |
|---|---|---|---|
| Resident Pop (10k) | 78.92 | 79.26 | 79.8 |
| Urbanization Rate (%) | 46.16 | 44.60 | 44.29 |
| Urban Pop (10k) | 36.43 | 35.35 | - |
| Rural Pop (10k) | - | 43.91 | - |
| Registered Pop (10k) | 93.5758 | 94.0911 | 94.6565 |
| Registered Urban (10k) | 24.0511 | 22.0038 | 22.174 |
| Registered Rural (10k) | 69.5247 | 72.0873 | 72.4825 |
| Registered Male (10k) | 47.9420 | 48.2352 | 48.5617 |
| Registered Female (10k) | 45.6338 | 45.8559 | 46.0948 |
| Registered Age 0-17 | 14.4194 | 14.9351 | - |
| Registered Age 18-34 | 14.0615 | 14.7825 | - |
| Registered Age 35-59 | 38.0411 | 38.8495 | - |
| Registered Over 60 (Hukou) | 27.0538 | 25.524 | 22.8263 |
| Births (10k) | 0.4114 | 0.4091 | 0.437 |
| Deaths (10k) | 0.7772 | 0.7875 | 0.8121 |
| Birth Rate (‰) | 4.38 | 4.33 | 4.6 |
| Death Rate (‰) | 8.28 | 8.34 | 8.5 |
| Natural Growth (‰) | -3.9 | -4.01 | -3.9 |
THE BRIEF DATA OF THE RECENT THREE CENSUSES
| Index | 7th Census (2020) | 6th Census (2010) | 5th Census (2000) |
| Resident Population | 809220 | 853662 | 932771 |
| Urban Population | 346040 | 227325 | 136517 |
| Urbanization Rate | 42.76% | 26.63% | 14.64% |
| Female | 408990 | 436465 | 486904 |
| Male | 400230 | 417197 | 445867 |
| Male to female ratio | 102.19 | 104.62 | 109.20 |
| Proportion of ethnic minorities | 1.14 | 1.13 | 1.35 |
| Number of households | 303968 | 267277 | 265011 |
| Family Size | 779826 | 837162 | 903218 |
| Household size (person/household) | 2.57 | 3.13 | 3.41 |
CENSUS AGE PYRAMID
| The 7th Census Age Pyramid | ||
| Female | Male | |
| 0 | 2899 | 2735 |
| 1-4 | 16171 | 14958 |
| 5-9 | 23381 | 21860 |
| 10-14 | 23829 | 22132 |
| 15-19 | 15829 | 13681 |
| 20-24 | 11766 | 11226 |
| 25-29 | 15828 | 15984 |
| 30-34 | 26215 | 25964 |
| 35-39 | 20057 | 20709 |
| 40-44 | 22651 | 22561 |
| 45-49 | 35522 | 33996 |
| 50-54 | 44762 | 44292 |
| 55-59 | 41781 | 41111 |
| 60-64 | 24995 | 23302 |
| 65-69 | 32194 | 31136 |
| 70-74 | 22844 | 22024 |
| 75-79 | 13724 | 13867 |
| 80-84 | 9188 | 10720 |
| over 85 | 5354 | 7972 |
| The 6th Census Age Pyramid | ||
| Female | Male | |
| 0 | 4593 | 4093 |
| 1-4 | 18519 | 17029 |
| 5-9 | 19098 | 17451 |
| 10-14 | 18840 | 17701 |
| 15-19 | 23530 | 23422 |
| 20-24 | 27753 | 28078 |
| 25-29 | 22921 | 23899 |
| 30-34 | 26379 | 25856 |
| 35-39 | 40421 | 36479 |
| 40-44 | 46839 | 43095 |
| 45-49 | 42387 | 40536 |
| 50-54 | 26470 | 24866 |
| 55-59 | 35564 | 33493 |
| 60-64 | 27500 | 24700 |
| 65-69 | 18995 | 16854 |
| 70-74 | 16795 | 16241 |
| 75-79 | 11676 | 12539 |
| 80-84 | 5677 | 6970 |
| over 85 | 2508 | 3895 |
| The 5th Census Age Pyramid | ||
| Female | Male | |
| 0 | 3988 | 3570 |
| 1-4 | 15913 | 14983 |
| 5-9 | 25051 | 23186 |
| 10-14 | 41689 | 38125 |
| 15-19 | 30169 | 27822 |
| 20-24 | 28852 | 27798 |
| 25-29 | 45908 | 40790 |
| 30-34 | 55167 | 50465 |
| 35-39 | 51340 | 46545 |
| 40-44 | 30413 | 27115 |
| 45-49 | 40138 | 36139 |
| 50-54 | 31037 | 26747 |
| 55-59 | 22390 | 18802 |
| 60-64 | 22544 | 19643 |
| 65-69 | 18421 | 17041 |
| 70-74 | 12526 | 12558 |
| 75-79 | 7290 | 8305 |
| 80-84 | 2986 | 4074 |
| over 85 | 1082 | 2159 |
LOCAL ETHNIC COMPOSITION
| 6TH CENSUS ETHNIC COMPOSITION | ||||
| ETHNIC | POPULATION | FEMALE | MALE | PROPORTION |
| Population | 853662 | 436465 | 417197 | 100% |
| Other Ethnic | 0 | 0% | ||
| Han | 844031 | 431406 | 412625 | 98.8718017% |
| Mongolian | 13 | 8 | 5 | 0.0015229% |
| Hui | 3372 | 1801 | 1571 | 0.3950041% |
| Tibetan | 7 | 1 | 6 | 0.00082% |
| Uygur | 3909 | 2181 | 1728 | 0.4579096% |
| Miao | 454 | 182 | 272 | 0.0531826% |
| Yi | 10 | 1 | 9 | 0.0011714% |
| Zhuang | 93 | 28 | 65 | 0.0108942% |
| Buyei | 25 | 6 | 19 | 0.0029286% |
| Korean | 5 | 2 | 3 | 0.0005857% |
| Manchu | 17 | 11 | 6 | 0.0019914% |
| Dong | 9 | 6 | 3 | 0.0010543% |
| Yao | 31 | 14 | 17 | 0.0036314% |
| Bai | 1 | 1 | 0.0001171% | |
| Tujia | 1503 | 751 | 752 | 0.176065% |
| Hani | 1 | 1 | 0.0001171% | |
| Kazak | 19 | 8 | 11 | 0.0022257% |
| Dai | 8 | 3 | 5 | 0.0009371% |
| Li | 31 | 12 | 19 | 0.0036314% |
| Lisu | 5 | 1 | 4 | 0.0005857% |
| Wa | 1 | 1 | 0.0001171% | |
| She | 0% | |||
| Gaoshan | 0% | |||
| Lahu | 2 | 1 | 1 | 0.0002343% |
| Shui | 0% | |||
| Dongxiang | 0% | |||
| Naxi | 0% | |||
| Jingpo | 0% | |||
| Kirgiz | 3 | 3 | 0.0003514% | |
| Tu | 74 | 29 | 45 | 0.0086685% |
| Daur | 0% | |||
| Mulao | 1 | 1 | 0.0001171% | |
| Qiang | 0% | |||
| Blang | 0% | |||
| Salar | 1 | 1 | 0.0001171% | |
| Maonan | 1 | 1 | 0.0001171% | |
| Gelao | 7 | 7 | 0.00082% | |
| Xibe | 0% | |||
| Achang | 0% | |||
| Pumi | 0% | |||
| Tajik | 0% | |||
| Nu | 15 | 7 | 8 | 0.0017571% |
| Uzbek | 1 | 1 | 0.0001171% | |
| Russia | 0% | |||
| Ewenki | 0% | |||
| Deang | 0% | |||
| Baoan | 0% | |||
| Yugu | 1 | 1 | 0.0001171% | |
| Jing | 2 | 2 | 0.0002343% | |
| Tatar | 0% | |||
| Dulong | 1 | 1 | 0.0001171% | |
| Oroqen | 0% | |||
| Hezhe | 0% | |||
| Monba | 0% | |||
| Lhoba | 0% | |||
| Jinuo | 0% | |||
| Undetermined ethnic group | 7 | 1 | 6 | 0.00082% |
| Naturalization | 1 | 1 | 0.0001171% | |