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TABLE OF CONTENTS

................................................... 1 . INTRODUCTION .................................. 2 .............................. 4 . TECHNICAL NOTES ON THE

STATISTICAL TABLES ....................... 14 .............................................. 26 . STATISTICAL TABLES ....................... 26

PART . 2018 POPULATION DATA

(a) AGE COMPOSITION

1. .......................... 26 1. Year-end population by sex and single year of age for counties and cities, 2018 ........................................................ 26

2. ...... 54 2. Year-end population by sex and quinquennial age group for counties, cities, townships and districts, 2018 ....................... 54

3. ............................................................................... 104

3. Percent distribution of midyear population by three-stage

age group and dependency ratio for counties, cities,

townships and districts, 2018 .................................................. 104

4. .......................... 114 4. Midyear population by sex and single year of age for counties and cities, 2018 ......................................................... 114

5. .................. 142 5. Midyear population by age, sex and type of administrative district, 2018 ............................................................................ 142

(b) EDUCATION

6.

................................................................................... 146 6. Year-end population aged 15 and over by age, sex and

educational attainment for counties and cities, 2018 .............. 146

(c) MARITAL STATUS

7. .............. 196 7. Year-end population by age, sex and marital status for

counties and cities, 2018 ......................................................... 196

8. ................................................................... 220

8. Number and percentage of currently married women to

women of childbearing age by age on midyear basis for

counties, cities, townships and districts, 2018 ........................ 220

(d) POPULATION DENSITY

9. .............................. 240 9. Population density and total area for counties, cities,

townships and districts, end of 2018 ....................................... 240

10. .................. 249 10. Population density by total and cultivated areas for counties

and cities, end of 2018 ............................................................. 249

(e) FERTILITY

A. DATA BASED ON DATE OF OCCURRENCE

11. .............................. 250 11. Live births by single year of age of mother for counties and

cities, 2018 ............................................................................... 250

2

12. ...................... 254 12. Live births by age of mother for counties, cities, townships and districts, 2018 .................................................................... 254

13. ....................................................................................... 266

13. Number and percent distribution of live births by live-birth

order and single year of age of mother, 2018.......................... 266

14. ................................................................................... 284

14. Number and percent distribution of live births by live-birth

order and age of mother for counties and cities, 2018 ............ 284

15. .......................... 300 15. Live births by ages of mother and father, and sex of child, 2018 ......................................................................................... 300

16. .................. 309 16. Live births by age and educational attainment of mother for counties and cities, 2018 ......................................................... 309

17. .................. 318 17. Live births by age and educational attainment of father for


18.

........................................................... 336 18. Number and percent distribution of live births by age and

educational attainment of mother, and live-birth order for


19. .......... 436 19. Live births by educational attainment of mother and father,

and live-birth order, 2018 ........................................................ 436

20.

........................................... 454 20. Crude birth rate, and general fertility, age-specific fertility

and total fertility rates per thousand childbearing age

women for counties, cities, townships and districts, 2018 ...... 454

21.

....................................................................... 466 21. General fertility, age-specific fertility and total fertility rates

per thousand currently married women for counties, cities,

townships and districts, 2018 .................................................. 466

22.

............................................................... 478 22. General fertility, age-specific fertility and total fertility rates

per thousand males by marital status for counties and cities,

2018 ......................................................................................... 478

23.

....................................................... 482 23. General fertility, age-specific fertility and total fertility rates

per thousand childbearing age women by educational

attainment for counties and cities, 2018 .................................. 482

24.

....................................................... 491 24. General fertility, age-specific fertility and total fertility rates

per thousand males by educational attainment for counties

and cities, 2018 ........................................................................ 491

25. .............. 500 25. Birth rates by single year of age of mother and total fertility

rate per thousand childbearing age women for counties and

cities, 2018 ............................................................................... 500

26. .............. 504 26. Birth rates by single year of age of mother and live-birth

order per thousand childbearing age women, 2018 ................ 504

27. .......... 522 27. Birth rates by age of mother and live-birth order per

thousand childbearing age women for counties and cities,

2018 ......................................................................................... 522

28. .......... 530 28. Birth rates by age of mother and live-birth order per

thousand currently married women for counties and cities,

2018 ......................................................................................... 530

29. ................................................................................... 538

29. Birth rates by age and educational attainment of mother and

live-birth order per thousand childbearing age women for


3

30.

............................................................................... 588

30. Live births, crude birth rate, midyear female population, and

general fertility, age-specific fertility and total fertility rates

per thousand childbearing age women by type of

administrative district, 2018 .................................................... 588

31.

.......... 590 31. Live births, midyear currently married women, and general

fertility, age-specific fertility and total fertility rates per

thousand currently married women by type of administrative

district, 2018 ............................................................................ 590

B. DATA BASED ON DATE OF REGISTRATION 32. .............................. 592 32. Live births by single year of age of mother for counties and

cities, 2018 ............................................................................... 592

33. .............. 596 33. Birth rates by single year of age of mother and total fertility

rate per thousand childbearing age women for counties and

cities, 2018 ............................................................................... 596

34.

............................................................................... 600

34. Live births, crude birth rate, midyear female population, and

general fertility, age-specific fertility and total fertility rates

per thousand childbearing age women by type of

administrative district, 2018 .................................................... 600

35.

.......... 602 35. Live births, midyear currently married women, and general

fertility, age-specific fertility and total fertility rates per

thousand currently married women by type of administrative

district, 2018 ............................................................................ 602

(f) MORTALITY

A. DATA BASED ON DATE OF OCCURRENCE

36. .............. 604 36. Deaths by sex and single year of age for counties and cities,

2018 ......................................................................................... 604

37. .......... 628 37. Deaths by sex and quinquennial years of age for counties

and cities, 2018 ........................................................................ 628

38.

....................................................................... 632 38. Deaths aged 15 and over by age, sex and marital status for


39. .......................... 656 39. Death rates by sex and single year of age for counties and

cities, 2018 ............................................................................... 656

40.

....................................................................... 680 40. Death rates aged 15 and over by age, sex and marital status

for counties and cities, 2018 .................................................... 680

41.

........................................................................................... 704 41. Deaths and death rates per thousand population by age, sex

and type of administrative district, 2018 ................................. 704

B. DATA BASED ON DATE OF REGISTRATION 42.

........................................................................................... 708 42. Deaths and death rates per thousand population by age, sex

and type of administrative district, 2018 ................................. 708

(g) MARRIAGE AND DIVORCE

A. DATA BASED ON DATE OF OCCURRENCE 43. ...... 712 43. Marriages by sex, single year of age and order of marriage

for counties and cities, 2018 .................................................... 712

4

44. ...... 760

44. Marriages, crude marriage rate by order of marriage and sex, divorces, crude divorce rate, divorce rate per thousand currently married population by sex for counties and cities, 2018 ......................................................................................... 760

45.

.............. 762 45. Marriages by sex, ages, previous marital statuses, median

age, and first and third quartiles of age at marriage, 2018 ...... 762

46. ............................................... 772 46. Marriages by sex and ages, 2018 ............................................ 772

47.

................................................................................... 790 47. First marriages by sex, ages, educational attainments, and

median age at marriage, 2018 .................................................. 790

48. .................. 798 48. Marriages by sex, age and previous marital status, 2018........ 798

49.

................................................................................... 816 49. Marriages by order of marriage of female, and educational

attainments by sex., 2018 ........................................................ 816

50. .......................... 834 50. Divorces by sex and ages for counties and cities, 2018 .......... 834

51. .................................. 838 51. Couples of divorces by ages of male and female, 2018 .......... 838

52. .......................... 840 52. Couples of divorces by educational attainments of male and

female, 2018 ............................................................................ 840

53. .......................... 842 53. Divorce rates by age and sex per thousand currently married

population for counties and cities, 2018 ................................. 842

B. DATA BASED ON DATE OF REGISTRATION 54.

...... 846 54. Marriages, crude marriage rate by order of marriage and

sex, divorces, crude divorce rate, divorce rate per thousand

currently married population by sex for counties and cities,

2018 ......................................................................................... 846

55.

.............. 848 55. Marriages by sex, ages, previous marital statuses, median

age, and first and third quartiles of age at marriage, 2018 ...... 848

(h) INTERNAL MIGRATION

DATA BASED ON DATE OF REGISTRATION 56.

....................................................................... 858

56. In-migrants, out-migrants, internal net migrants and gross

migrants for counties, cities, townships and districts, 2018 ... 858

57.

................................................................................... 878 57. In-migration rate, out-migration rate, internal net-migration

rate and gross migration rate for counties, cities, townships

and districts, 2018 .................................................................... 878

PART . 2018 HOUSEHOLD DATA

58. .............. 900 58. Numbers of civil divisions, households and population,

mean size of household and sex ratio for counties and cities,

end of 2018 .............................................................................. 900

59. ...................... 904 59. Numbers of households and indigenous people by sex and

type of household for counties and cities, end of 2018 .......... 904

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PART . TIME SERIES OF POPULATION DATA

60.

...................... 910 60. Annual rate of increase and natural increase, crude birth and

death rates, gross and net reproduction rates and mean age

of mother at childbearing, 2009-2018 ..................................... 910

61. .............. 911 61. Percent distribution of midyear population by three-stage

age group and dependency ratio, 2009-2018 .......................... 911

62. .................................. 912 62. Midyear population by sex and quinquennial age group,

2009-2018 ................................................................................ 912

63. ....................................... 914 63. Year-end population by sex and single year of age,

2009-2018 ................................................................................ 914

64. .............................. 926 64. Population density by total and cultivated areas, end of

2009-2018 ................................................................................ 926

65. .......... 927 65. General fertility, age-specific fertility and total fertility rates

per thousand males, 2009-2018 ............................................... 927

66. ........................................... 928

66. Numbers and percent distributions of midyear childbearing

age women and currently married women by age, and

percentage of the latter to the former, 2009-2018 ................... 928

67. ........................................... 930 67. Live births by sex and ages of mother and father, 2009-2018 930

68.

....................................................................................... 932 68. General fertility, age-specific fertility and total fertility rates

per thousand childbearing age women and currently married

women, 2009-2018 .................................................................. 932

69.

................................................................................... 934 69. Live births by age of mother for cities and townships (chens

and hsiangs), 2009-2018 ......................................................... 934

70. ............................................... 936

70. General fertility, age-specific fertility and total fertility rates

per thousand childbearing age women for cities and

townships (chens and hsiangs), 2009-2018 ............................ 936

71. ............................................... 938

71. General fertility, age-specific fertility and total fertility rates

per thousand currently married women for cities and


72.

....................................................................... 940 72. Deaths and death rates by age and sex for cities and


73.

.................. 956 73. Marriages, crude marriage rate by order of marriage and

sex, divorces, crude divorce rate, divorce rate per thousand

currently married population by sex, 2009-2018 .................... 956

74.

................................................................................... 958 74. Marriages by sex, ages, and their median and mean ages at

marriage, 2009-2018................................................................ 958

75.

........................................... 962 75. Internal migrants, internal migration rate, gross migrants

and gross migration rate, 2009-2018 ....................................... 962

76. .............. 964 76. Immigrants, emigrants and net migrants of household

registration by sex, 2009-2018 ................................................ 964

77.

............................................................... 966 77. Total population, annual increase, and numbers and rates of

natural increase, births and deaths for Taiwan Area,

1946-2018 ................................................................................ 966

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78.

....................................................................... 968 78. Total population, annual increase, and numbers and rates of

natural increase, births and deaths, 1957-2018 ....................... 968

APPENDIXES

.......................................................... 972 Adjusted general fertility, age-specific fertility and total

fertility rates for counties and cities, 2018 .............................. 972

.......................................................... 973

Adjusted general fertility, age-specific fertility and total

fertility rates of currently married women for counties and

cities, 2018 ............................................................................... 973

.............................................................. 974

General fertility, age-specific fertility and total fertility rates

of currently married women of nationals for counties and

cities, 2018 ............................................................................... 974

...................................................... 975

Adjusted fertility rates for childbearing age women,

currently married women, and currently married women of

nationals, 2009-2018. .............................................................. 975

1

0

0.5 0.0 0.05 0.00

0.005

2

INTRODUCTION

1. In order to meet the needs for government administration, academic research and socio-economic development, the Ministry of the Interior tabulates and compiles the population data produced from household registration into two kinds of publications with Chinese-English version according to their different contents. The first publication is named as “Demography Quarterly”. Its contents comprise the annually analytical data of vital statistics and the monthly data of birth, death, marriage and divorce as well as the quarterly data of international migration. The second is entitled “Demographic Fact Book”, which is published annually. It contains absolute figures of both static and dynamic population data as well as relative rates or ratios calculated in accordance with the international standards.

2. The Demographic Fact Book was originally named as “Taiwan Demographic Fact Book”. Due to suggestions from the related organizations, “The Statistical Report on Household Registration for Taiwan-Fuchien Area” has been combined into the “Taiwan Demographic Fact Book”, and it has been entitled “Taiwan-Fuchien Demography Fact Book” since 1974. It has been entitled “Demography Fact Book” since 2006.

3. This Fact Book presents mainly the various data of population composition and vital statistics in 2018. Some serials of demographic data for the last decade are also tabulated for the convenience of comparison and reference.

4. The characteristics of population data and methods of calculation for rates or ratios are described in “Technical Notes on the Statistical Tables”.

5. In the table of this Fact Book, “Person” is taken as a statistical unit for the integral number, the symbol “ ” stands for “none”; “0” for less than “0.5” per 100 or 1,000 population, “0.0” for

less than “0.05” per 100 or 1,000 population and “0.00” for less than “0.005” per 100 or 1,000 population in calculating rates or ratios; and “ ” for the aboriginal township.

6. The administrative district refers to New Taipei, Taipei, Taoyuan, Taichung, Tainan, Kaohsiung cities, Taiwan and Fuchien Province. The “township”, “city” and “district” are classified according to the definition of current administrative district.

7. The Abridged Life Tables for Taiwan Area published in previous issues of the Fact Book have been suspended from 1985 edition. For the convenience of users, the death rates for ages 0 and 1-4 calculated on the basis of registered deaths and those adjusted for under reporting of the same ages are tabulated together in Table 39.

8. We acknowledge with profound thanks to the departments of civil affairs of the municipality, county and city governments, and the household registration offices on township (city or

3

district) level for the submitting of demographic data for this publication.

4

1.

5

2.

3.

4.

368 182 164 6 14 38 146 122 24 29 29 28 1 12 12 12 13 13 12 1 29 29 28 1 37 37 37 38 38 35 3 200 26 12 14 35 139 115 24

6

10 3 7 7 6 3 3 3 4 4 4

7

8

a iB a fP

a i a iB

a fP 1,000

a fP a

E a iB

E a fP

a if

E a if

1,000

1,000

9

10 11

Ansley J. Coale Guang Guo

12

1,000 1,000

13

14

TECHNICAL NOTES ON THE STATISTICAL TABLES

. INTRODUCTION

There is a sound household registration system in Taiwan. Records of highly accurate and complete population and vital statistics have been continuously produced which make reliable demographic data to be available since 1905. After the retrocession of Taiwan to the Republic of China, the Household Registration Statistics of Taiwan have been serially published. Since then, research on population has been considered as an important task. Thus, the Taiwan Demographic Fact Book has come out. Starting 1961, except 1962, 57 volumes have been issued. In recent years, due to the rapid industrialization and socio-economic development, it is important to meet the actual demands of government and private users for demographic data. Therefore, the Ministry of the Interior promulgated a regulation of THE PROCEDURES ON HOUSEHOLD REGISTRATION STATISTICS in 1973. According to this regulation both the statistical tables and procedures of data collection have been revised, and the contents of household registration statistics are also enriched.

For the purpose of executing extensively the above regulation, the Ministry of the Interior has undertaken a centralized tabulation program since 1975. Under this program, the computer facilities have been used to deal with the data processing for such vital statistics as natality, mortality, marriage and divorce for all Taiwan Area. As regards the data of the above vital statistics for Kinmen and Lienchiang counties of Fuchien Province have also been merged into the centralized tabulation program since 1991.

In order to improve administrative reformation, promote administrative efficiency and strengthen service for the people, the Ministry of the Interior actively commenced drawing up the Household Registration Information System from 1989, and it has been set up in all the household registration authorities at various levels since 1997. Under this system, all the kinds of affairs of household registration, including the compilation and tabulation of all the static and dynamic population data, have been undertaken by means of the use of computer.

For the better understanding of readers to the data in the Fact Book, the definitions of statistical events, the principles of data tabulation, the meanings of rates and their methods of computations, and the characteristics of data are described as follows:

. CONTENTS OF THE DEMOGRAPHIC DATA

There are 82 statistical tables in this issue. The demographic data can be divided into two kinds, i. e., year-end static population data and year-round dynamic population data. The static data are defined as those collected during a particular reference period of time; those collected by continuous registration are called dynamic data. Thus, the former includes such population data as household, age-sex composition, education, marital status, and population density; the latter comprises data of birth, death, marriage, divorce and migration.

. THE PROCEDURES OF DATA COLLECTION AND STATISTICS

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The static population data in this issue are conducted from the outcome of household registration. The standard day of the statistics is on December 31, and the standard time of the statistics is at 12:00 p.m. of December 31. The population data included household, age-sex composition, and marital status are based on the population registration data on December 31, as for the characteristics of education and aboriginal are based on the remarks of household registration data on December 31. The statistics of static population data are computerized as following procedures:

(1) Every household registration office should transfer household registration data into computer file of year-end static population data after the end of office hour on December 31. Besides, for assuring the consistence of statistical basis as the data of household registration in the standard time, all of year-end static population data have to be transferred completely before the beginning of office hour on January 2 in the following year.

(2) In order to maintain the accuracy of the data, every household registration office should check and correct year-end static population data which are not reasonable.

(3) As for those year-end data which have population of age over 15 and lack of educational remarks, all household registration offices should allocate educational level by the proportion of distribution in all age group of townships, cities, and districts to assure the completion of the statistics.

(4) After the educational data has been transferred, all household registration offices should print out all kinds of the year-end static population statistical tables and transmit them to the Ministry of the Interior.

For vital statistics of birth, death, marriage and divorce in this issue are calculated in accordance with the records of the application forms of those vital events. (Birth data also include the Health Promotion Administration, Ministry of Health and Welfare informed the birth data.) The standard period of the statistics is from January 1 to December 31 in the year. Those data are also undertaken by computer. Every household registration office should transfer the records of those application forms into computer files of the year-round dynamic population data after off duty on March 31 in the following year, and then should print out all the kinds of the dynamic population statistical tables and transmit them to the Ministry of the Interior. However, data on internal migration are calculated according to the migration data submitted monthly by the household registration offices.

. PRINCIPLES OF STATISTICAL TABULATION

The principle of tabulation in space is by residence place of household registration rather than by place of occurrence. For vital statistics, the principle of tabulation in time is both by dates of registration and occurrence this year. TABULATION BY DATE OF REGISTRATION MEANS THAT ALL REGISTERED VITAL CASES DURING JANUARY TO DECEMBER ARE USED FOR TABULATION; TABULATION BY DATE OF OCCURRENCE MEANS THAT THE TABULATION TAKES INTO ACCOUNT ONLY THE VITAL EVENTS OCCURRED FROM JANUARY THROUGH DECEMBER AMONG TOTAL NUMBER OF REGISTERED CASES FROM JANUARY IN THE CURRENT YEAR TO MARCH IN THE NEXT YEAR. However, the data of birth based on date of occurrence, since 2012, replaced by the Birth data also include the Health Promotion Administration, Ministry of Health and Welfare informed the birth data informed the birth data, cross over reviewed of the household registration office received an application for registration of the birth data, tabulated contain informed has been registered,

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unregistered and the registered data are not informed. Most of the statistical tables in this issue are tabulated for counties, cities, townships and districts, and

a few are only for provinces and cities. For the convenience of comparison among geographical differences in population characteristics, demographic data are further tabulated by five categories of administrative districts, i.e., districts in the seven big cities, cities, townships in plains and aboriginal townships. The numbers of administrative districts by categories are shown below:

Cities Town- ships

(Chens)

Townships ( Hsiangs ) District Total Sub-

total Districts in Plans

Aboriginal Districts

Other Cities

Sub- total

Townships in Plains

Aboriginal Townships

Grand Total 368 182 164 6 14 38 146 122 24 New Taipei City 29 29 28 1 Taipei City 12 12 12 Taoyuan City 13 13 12 1 Taichung City 29 29 28 1 Tainan City 37 37 37 Kaohsiung City 38 38 35 3 Taiwan Province 200 24 12 14 35 139 115 24 Fuchien Province 10 3 7 7

Kinmen County 6 3 3 3 Lienchiang County 4 4 4

. DESCRIPTION OF TABLES

1. Tables 1, 2, 4, 5, 62, 63, 77 and 78

Tables 1, 2, 4, 5, 62 and 63 give year-end and mid-year populations by sex and single year of age or quinquennial years of age group, while Tables 81 and 82 give successive year-end total populations in the past years. The population in these tables refers to Chinese who have applied for household registration. No matter whether they are in residence or not, they are all considered as the population of the registered place, so long as they do not apply for out-migration registration. However, the total population excludes Chinese students who are studying abroad and diplomatic personnel serving in foreign countries two years and over. Since 1969, it has included all the professional soldiers, recruits and prisoners who have been excluded from the statistics before then.

The age for the year-end population is calculated from the interval between the date of birth and the standard day of statistics on December 31 and is expressed by a full year. Owing to the fact that the date of birth of any person is reckoned as coming before or on December 31, it is easy to figure out the age of any one by subtracting the year of birth from the year of statistics. For simplicity, the age is calculated according to the year of birth, that is, zero year of age applies to one who is born in the current year; one year of age, to one born in the preceding year; two years of age, to one born two years ago, etc. Therefore, the accuracy of data on age of the year-end population is very high. The midyear population is estimated from the mean of

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year-end populations of two successive years.

2. Tables 3 and 61

These tables show data on percent distribution of the age structure by broad age group and dependency ratio. The age structure is divided into three categories, i.e., ages 0-14, 15-64, and 65 and over. The working age population refers to age group 15-64, nonproductive age population to the other two groups. The proportion of the population in the nonproductive age to that of working age is called dependency ratio, which is a crude measure of the burden of those who produce no income upon the shoulders of income producers. In brief, the ratio is the number of persons not in the labor force per 100 persons of labor force. It also provides and index of age-induced economic drain on manpower resources. As it affects the labor force participation rate and the productive potential, and is tied in with the investment, savings and government expenditure of a country, the weight of the dependency load is not only a matter of the number of dependents but also the effect on age-sex distribution of a population. Even more important, it provides an index of those in need of education, raising of children, and social welfare for the elderly.

3. Table 6

Table 6 presents educational data of the population aged 15 and over. Educational attainment is defined as the highest level of instruction which the individual has attained in the regular educational system, or its equivalent for one not having formal education but passing the test recognized by the rules of examination. Those aged 15 and over who can read a newspaper and write a simple letter are classified into self-taught group, or into illiterate group, if they can not. Each level of education can be further divided into two subgroups, i.e., graduated and ungraduated. Since the educational organization can provide more accurate data of school-attending students, the group of school-attending has been combined into that of ungraduated. To cooperate with the revision of Household Registration Law, the educational data have been calculated for the population aged 15 and over only since 1997. In addition, we establish educational report system to help the registration offices collect the name list of graduates from school, and to remark education related data for increasing the accuracy of population data which concern educational level.

4. Table 7

Table 7 concerns data on marital status of the population. The status normally subsumes the following four categories: (1) Single (or Never Married), (2) Currently Married, (3) Divorced and (4) Widowed. These data are collected on the basis of the records of household register.

5. Tables 8 and 66

Tables 8 and 66 present the midyear number and percentage of the currently married women by age in the total number of women at childbearing age. The midyear figures are also the mean of two successive year-end currently married women. The age is calculated by the same method as that mentioned in Paragraph 1. These data are important in the study of fertility.

6. Tables 9, 10 and 64

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These are data on population density which is defined as the number of persons per square kilometer of total area for year-end total population of the same area. Here, two area figures with administrative boundary and cultivated land, that have been obtained from The statistical Yearbook by each local Government and Statistics on agricultural land area by Agriculture and Food Agency, Council of Agriculture, Executive Yuan respectively, are used as the basis for density computation.

7. Tables 11, 12, 15, 32, 67 and 70

Tables 11, 12, 15, 32, 67 and 70 give data on live birth statistics. Live birth, according to the U.N. definition, is the complete expulsion or extraction from its mother of a product of conception, irrespective of the duration of pregnancy, which, after such separation, breathes or shows any other evidence of life, such as beating of the heart, pulsation of the umbilical cord or definite movement of a voluntary muscle, whether or not the umbilical cord has been cut or the placenta is attached. Each product of such a birth is considered as live birth. All live-born infants are registered as such irrespective of gestation or whether alive or dead at the time of registration, and if they die at any time following birth, they are also registered and counted as deaths. The age of a mother at birth of a child is calculated by the interval between birth dates of the mother and the child taking the dates of day, month and year into consideration. With reference to the method of age calculation, the age can be derived by subtracting the birth year of the mother from that of the child if the birth date of the child is the same as or after that of the mother, and by deducting one year from the difference between the birth years of the two, if the birth date of the child is prior to that of the mother. The age of mother in a childbearing span is divided into seven groups beginning with 15 up to 49 through quinquennial age group continuously. However, the births to women under 15 or 50 years old and over are included into groups 15-19 and 45-49 respectively. In general, one mother corresponds to one birth while two mothers may refer to twin births and three mothers, to triplet births in the live birth statistics. Those births to mothers of unknown age have been proportionately distributed among age groups. Data of live births by age of mother are requisite in computing age-specific fertility rates and in the research of human fertility.

8. Tables 13 to 19 and 26 to 29

These tables present data on births and birth rates by age, birth order and/or education of mother and/or father. Those births to mothers and/or fathers of unknown information are also proportionately distributed among those of known information. The order of birth refers to the number of children born alive to mother including the present child. The order-specific fertility rates by age ( a if ) are calculated from the following formula:

a if a iB a fP 1,000

Where a iB represents births of a given order i of a given age group a, and a fP relates all women in the same age group without regard to the number of children they have had; whereas, the age-order-education-specific fertility rates are calculated from the formula below:

E a if E a iB E a fP 1,000

Where E stands for the level of education. Due to the lack of data on currently married women by age and education, these fertility rates in terms of currently married women can not be further produced.

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9. Tables 15 and 67

Live births by age of father are presented in Tables 15 and 67. The study of fertility is generally undertaken on the basis of female population. This is probably due to the fact that the reproductive behavior is directly connected with women and her childbearing age span is limited to a period of time. However, fertility is not the product of the action of one sex. The male is of equal importance as decision maker in the reproductive behavior. The computation method for father’s age at birth of child is the same as that for mother. The age classification begins with 15 years old through quinquennial age group up to 49 years old for Table 69, and up to 55 years old and over for Table 15, respectively. Accordingly, the births of age group 45-49 in Table 69 refer to those born to fathers aged 45 years old and over. Births to father’s ages unknown include unrecognized, posthumous and abandoned births. They have also been proportionately distributed among age groups.

10. Tables 16 and 17

Tables 16 and 17 detail the number of births by education of mother and father respectively. Educational attainment can be divided into five sub-levels. They are shown below:

(1) University of college graduated and over : Graduate school graduated and ungraduated, and university (college) graduated.

(2) Junior college graduated : Junior college of three-years system graduated, junior college of two-year system graduated and junior college of five-year system graduated.

(3) Senior graduated : University (college) ungraduated, junior college of three-year system ungraduated, junior college of two-year system ungraduated, junior college of five-year system in the final two years ungraduated, senior high school graduated and senior vocational school graduated.

(4) Junior graduated : Senior high school ungraduated, senior vocational school ungraduated, junior high school graduated and junior vocational school graduated.

(5) Primary graduated and under : Junior high school ungraduated, junior vocational school ungraduated, primary school graduated and ungraduated, self-taught and illiterate.

11. Tables 20, 25, 30, 33, 34, 69, 71, 77 and 78

Data on crude birth rate, and general fertility, age-specific fertility and total fertility rates of childbearing age women are shown in Tables 20, 25, 30, 33, 34, 69, 71, 77 and 78. The crude birth rate is the number of births registered during one year per 1,000 of the corresponding midyear population. This kind of rate is the simplest and most widely used measurement of fertility. However, it only shows the frequency of birth events throughout the entire population without regard to other factors in smaller groups of the population that are sometimes used for better observation. Moreover, it can be considerably affected by variations in age-sex composition of the population. Therefore, it is burdened with some vagueness and confusion in measuring the level of fertility, and should not be used alone to compare the levels of two populations.

The general fertility rate is a ratio of registered total births of one year to the corresponding midyear female population of childbearing age and is expressed in the number of births per 1,000 women of childbearing age. The rate based on the population which is more close to the group exposed to the risk of childbearing is more helpful in measuring the level of fertility. The childbearing age span of women is

20

limited to ages 15 through 49. The age-specific fertility rate is the number of births during the period of one year in a specific age

group per 1,000 midyear female population in the same age group. This is the rate which has taken the age-sex composition of population into consideration though the factor of marital status has not yet been eliminated. The births to mothers of unknown age are proportionately distributed among births to mothers of known age in the rate computation.

The total fertility rate is the average number of births that would occur to 1,000 women experiencing no mortality throughout the childbearing period. It is subject to the age-specific fertility rates of the year from which the rate is calculated. The rate is computed by summing the age-specific fertility rates and multiplying 5, if the age-specific fertility rates are derived from quinquennial age group. In this calculation, the births to mothers of unknown age are also proportionately distributed among births to mothers of known age.

The meaning of the midyear female population of childbearing age is who registered in household registry, besides appendix present the foreign spouses who will reside in Taiwan but they have not yet registered in household registry are also including in the number of childbearing age and integrate them with computing its birth rate.

12. Tables 21, 31, 35, 69 and 72

General fertility, age-specific fertility and total fertility rates of currently married women are presented in the above mentioned tables. The meanings and the computation methods of the rates are the same as the foregoing. However, the denominators refer to the currently married women. Among of the numerator is including illegitimate infant the denominators is the midyear married women, besides appendix is not including the numerator of the illegitimate infant. The foreign spouses who will reside in Taiwan but they have not yet registered in household registry and integrate them with computing its birth rate. The births to mothers of unknown age are also proportionately distributed among age groups for computing age-specific fertility and total fertility rates.


Tables 22 and 65 present data on general fertility, age-specific fertility and total fertility rates of males. In the computation of fertility rate, the denominator is limited to the midyear male population aged 15-59. In addition, the number of births which contributes to the numerator in the fertility rate for age group 55-59 has also included all the births to fathers aged 60 and above. As regards in the computation of fertility rate of currently married males, the denominators only refer to the currently married males. In this calculation, all the births to fathers whose ages are unknown are proportionately distributed among those to fathers of known age in calculating age-specific fertility rates.


These are data on fertility rates by age and education. The age-education fertility rate is defined as the number of births of a specified age and educational group per 1,000 midyear childbearing age women (or males) of the same age group. Those births to mothers (or fathers) of unknown age and/or education have been proportionately distributed among those of known age and/or education.

21

15. Tables 36 to 38, 41, 42, 73, 77 and 78

Being death statistics, they include deaths by age and sex. The definition of death is the permanent disappearance of all evidence of life at any time after live birth has taken place. This definition, therefore, excludes foetal deaths.

Age is calculated by the interval between dates of birth and death of the decedent, and is expressed in complete unit of year. It can be derived by subtracting birth year from death year of the decedent if the date of death (day and month) is the same as or after that of birth, and by deducting one year from the difference between the years of the two if the date of death is prior to that of birth. The marital status of the decedent are based on the data in the application form for death registration.

Death statistics presented in this issue do not include those of professional soldiers before 1969 but since then the statistics cover the entire population. Those deaths of unknown age have been proportionately distributed among age groups.

16. Tables 39 to 42, 73, 77 and 78

These tables give data on death rates by age and sex. The crude death rate is the number of deaths registered during one year per 1,000 population at the midpoint of the year. Since the rate is affected by the age-sex composition of population, it is not strictly comparable from area to area or time to time for a specified area. For the purpose of comparison, the crude death rate should be standardized. The age-specific death rate is the number of deaths registered in a specified age group during the period of one year per 1,000 midyear population of the same age group in the same year. This kind of rate obviates the variables of age-sex composition of population. Therefore, it can be comparable from one place to another or one time of period to another. It also supplies the essential component required for the construction of life tables.

This age-specific mortality rate is a central rate, i.e., the number of deaths in one age group during one year per 1,000 midyear population of the same age group. This rate of zero age group is somewhat different from infant mortality rate because some deaths in the numerator are not included in the denominator in the rate computation.

The adjusted death rates of ages 0 and 1-4 presented in Table 39 are estimated by interpolation the mortality level of registered deaths for age group 5-9, if the death rate of this age group is none, the figure of the next age group is used to estimate according to the “New Regional Model Life Tables at Very Low Levels of Mortality-West Tables” by Ansley J. Coale and Guang Guo, 1989.

Table 40 displays data on death rates by age, sex and marital status. This kind of rate has been eliminated the variable of composition of marital status, therefore, the fair comparision of death level in different marital status is more easily to be achieved.

17. Tables 43 to 55, 68 and 74

These tables give data on marriage and divorce statistics. Marriage is defined as the legal union of two opposite sex persons irrespective of the type of marriage so long as it is recognized by law. Divorce is the final legal dissolution of a marriage irrespective of its type either by mutual agreement or judicial decree. The statutory period of registration is 30 days for these vital events.

The crude marriage (divorce) rate is the number of couples married (divorced) and registered during one year per 1,000 of the corresponding midyear population. The crude marriage rate is not a probability

22

index because it does not take account of the age-sex structure and marital status of the population. Nevertheless, it does measure level and change in marriage frequency. The crude rate of divorce is also not a probability index. It is rather the index of a gross addition to the marriageable population and deletion from the married population.

By adding an additional modification to allow the age-sex-marital status composition of the population to be more accurate, we have the first marriage rate, remarriage rate and divorce rate for the currently married population. The first marriage rate is the number of males (females) of first marriage registered during one year per 1,000 single marriageable males (females) at the midpoint of the same year. The remarriage rate is the number of males (females) of remarriage per 1,000 divorced and widowed males (females). The divorce rate for currently married males (females) is the number of divorces (divorcees) registered during one year per 1,000 currently married males (females) at the midpoint of the same year.

Table 43 gives data on marriages by ages of couples married. Age is defined as the complete year from day, month and year of birth to those of marriage. However, it can be derived by subtracting the year of birth from the year of marriage if the date of marriage is the same as or after that of birth, and by deducting one year from the difference of years of the two if the date of marriage is prior to that of birth. For those marriages of unknown age, the data have been calculated in age group 65 and over; however, those unknown data have been proportionately distributed among age groups since 1998.

Age at divorce is defined as the complete year from day, month and year of birth to those of divorce. The derivation method for the age at divorce is the same as that for the age at marriage.

Table 53 concerns data on age-specific divorce rates. Those divorces (divorcees) of unknown age have been calculated in age group 65 and over; however, those unknown data have been proportionately distributed among age groups since 1998.

18. Tables 56, 57 and 75

They set for the data on internal migration. An internal migrant is defined as a person who enters into (departs from) a township (city or district) from (to) another with a change of residence and stays at the new address at least one month. This definition, therefore, excludes transients. According to the Household Registration Law, the application for out-migration should be done prior to the case happened, and any in-migration should be reported for registration within 15 days after the in-migration has been completed. Since May 21, 1997, those who are internal migrants and stay at the new address at least three months should apply for household out-migration and in-migration registration within 30 days after the in-migration has been completed.

The internal migration statistics is defined as one year. There are three migration streams, that is, (1) between counties or cities, (2) between townships, cities or districts in a county or city, and (3) between townships, cities or districts. Migrants who move between townships, cities or districts are equal to the total of those who move between counties (cities) and those who move between townships, cities or districts within the same county (city). Net-migrants refer to the balance of in-migrants to out-migrants. The total number of movements is the sum of in-migrants and out-migrants who move between townships, cities or districts plus two times of those who change residences within the same township, city or district.

The in-(out-)migration rate is the number of in-(out-)migrants registered during one year per 1,000 midyear population in the same year. The net-migration rate is the number of net-migrants per 1,000 midyear

23

population. The total movement rate is the total number of movements per 1,000 midyear population.

19. Table 58

Table 58 presents data on numbers of civil divisions, households and population, mean size of household and sex ratio, end of 2013. The mean size of household is defined as the number of persons per household. The sex ratio is the number of males per hundred females.

20. Table 59

Table 59 presents data on numbers of household and indigenous people, end of 2013. The aboriginal people are divided into aboriginal people in the plain and aboriginal people in mountainous region. The former is defined as who has registered in plain administrative district and has marked aboriginal people in the plain in his household register. The latter is defined as who has registered in mountainous administrative district and has marked aboriginal people in mountainous region in his household register.

21. Tables 60, 77 and 78

Tables 60, 77 and 78 concern data on rates of population growth. A change in the size of a population is defined as population growth which is induced only from three sources, i.e., births, deaths and migration. The annual growth rate is defined as a ratio of the increased number of persons in a given year to the total population at the end of the preceding year, which is multiplied by 1,000.

The natural increase rate is the gap between the crude birth rate and the crude death rate. The gross reproduction rate is similar to the total fertility rate, which is the sum of age-specific fertility rates, except that the rate includes only female births in numerator. The net reproduction rate is a measure of the number of daughters that will be born to a hypothetical cohort of 1,000 women, taking into account the mortality of the 1,000 women from the time of their births. Hence, the net reproduction rate estimates what is the average number of daughters who will replace 1,000 female infants by the time the cohort of 1,000 has been subjected to the risk of mortality from age 0 to 49.

If the age-specific fertility rates and mortality rates remain constant with no migration for a sufficient length of time and the net reproduction rate is above 1,000, the population would increase. If the net reproduction rate is below 1,000 or just 1,000, the population would decrease or remain constant. Since the number of female live births by age of mother is unknown, the female proportion of all births is used as a constant multiplier for the age-specific fertility rates to obtain the gross and net reproduction rates.

22. Table 76

Table 78 shows data on international migration. An international migrant is defined as one who has his household registered in Taiwan leaves for another country with a legal passport for at least one month or reenters with it. In general, the National Immigration Agency, M.O.I. will send the emigrational cases to the Department Household Registration Affairs, M.O.I which in turn will notify the township (city or district) household registration office concerned to register the emigration accordingly. However, the immigrant should apply for a registration as such within 15 days after he has entered to Taiwan. Since November 1974, according to the new regulations, emigrants will be registered as emigrated only when they have been away in foreign countries for six months and over. Accordingly, those who stay in foreign countries less than six

24

months are exempted from registration of both emigration and immigration. Since May 21, 1997, only those who stay in foreign countries over two years need to register for household emigration.

23. Appendixes I, , and IV

Appendixes I, II, IV present fertilities are generated by including foreign spouses, who got married to nationals and have not yet gotten permanent resident and registered in household registry in Taiwan Area, in the number of childbearing age women, besides appendix II, IV is not including the numerator of the illegitimate infant. Appendixes III, IV present data are generated only for national currently married women’s fertilities as well by excluding the number of births, whose mother are foreigners, from live births. The sources of foreign sponses numbers are registration system of National Immigration Agency, M.O.I.


26

1 4Grand 0

Sex Total Sub-total

Total 23,588,932 170,572 838,407 197,260 210,485 216,231Grand Total Male 11,712,913 88,146 434,244 102,220 109,010 112,362

Female 11,876,019 82,426 404,163 95,040 101,475 103,869

Total 3,995,717 26,920 129,595 30,857 32,319 32,997 New Taipei City Male 1,954,968 13,895 66,900 15,887 16,702 17,153

Female 2,040,749 13,025 62,695 14,970 15,617 15,844

Total 2,668,572 21,561 115,467 26,364 29,136 30,254 Taipei City Male 1,273,375 11,079 59,507 13,557 15,074 15,670

Female 1,395,197 10,482 55,960 12,807 14,062 14,584

Total 2,220,872 21,230 95,811 23,879 24,831 23,897 Taoyuan City Male 1,104,073 11,043 49,758 12,386 12,832 12,408

Female 1,116,799 10,187 46,053 11,493 11,999 11,489

Total 2,803,894 21,801 115,228 26,270 28,791 30,191 Taichung City Male 1,380,106 11,212 59,890 13,758 14,968 15,737

Female 1,423,788 10,589 55,338 12,512 13,823 14,454

Total 1,883,831 11,725 63,217 14,307 15,484 16,967 Tainan City Male 939,967 6,055 32,756 7,397 8,131 8,776

Female 943,864 5,670 30,461 6,910 7,353 8,191

Total 2,773,533 18,930 89,044 20,806 22,072 23,156 Kaohsiung City Male 1,371,957 9,855 46,284 10,849 11,408 12,055

Female 1,401,576 9,075 42,760 9,957 10,664 11,101

Total 7,090,184 47,184 225,255 53,508 56,582 57,599 Taiwan Province Male 3,611,525 24,376 116,652 27,724 29,220 29,953

Female 3,478,659 22,808 108,603 25,784 27,362 27,646

Total 455,221 2,871 13,909 3,308 3,573 3,519 Yilan County Male 230,027 1,483 7,226 1,708 1,863 1,822

Female 225,194 1,388 6,683 1,600 1,710 1,697

Total 557,010 4,368 24,176 5,337 6,001 6,281 Hsinchu County Male 284,385 2,296 12,561 2,762 3,136 3,311

Female 272,625 2,072 11,615 2,575 2,865 2,970

Total 548,863 3,174 17,403 3,784 4,254 4,724 Miaoli County Male 283,174 1,589 8,929 1,963 2,167 2,431

Female 265,689 1,585 8,474 1,821 2,087 2,293

Total 1,277,824 11,015 44,918 11,588 11,584 11,022 Changhua County Male 650,677 5,621 23,361 6,022 5,991 5,766

Female 627,147 5,394 21,557 5,566 5,593 5,256

3District

1 2

27

5 9 10 14

Sub-total Sub-total

214,431 1,000,580 197,941 237,529 200,824 169,089 195,197 1,038,668 199,125 206,028110,652 519,411 102,621 122,851 104,229 88,112 101,598 542,920 104,059 107,678103,779 481,169 95,320 114,678 96,595 80,977 93,599 495,748 95,066 98,350

33,422 166,302 31,955 39,807 33,966 28,243 32,331 167,105 32,492 33,16817,158 86,242 16,586 20,525 17,548 14,756 16,827 87,221 17,052 17,25416,264 80,060 15,369 19,282 16,418 13,487 15,504 79,884 15,440 15,914

29,713 116,507 25,196 27,264 23,062 19,451 21,534 110,122 21,518 22,86215,206 60,340 12,996 14,086 11,996 10,130 11,132 57,655 11,241 11,86514,507 56,167 12,200 13,178 11,066 9,321 10,402 52,467 10,277 10,997

23,204 107,324 21,307 25,551 21,873 17,824 20,769 110,059 21,456 21,90412,132 55,717 11,141 13,168 11,288 9,236 10,884 57,777 11,142 11,56111,072 51,607 10,166 12,383 10,585 8,588 9,885 52,282 10,314 10,343

29,976 133,669 27,147 32,172 26,631 22,266 25,453 134,798 25,790 27,27715,427 69,393 14,062 16,608 13,767 11,652 13,304 70,009 13,394 14,08314,549 64,276 13,085 15,564 12,864 10,614 12,149 64,789 12,396 13,194

16,459 76,564 15,247 18,695 15,033 12,573 15,016 78,998 15,316 15,6978,452 39,732 7,816 9,664 7,888 6,643 7,721 41,085 7,900 8,2108,007 36,832 7,431 9,031 7,145 5,930 7,295 37,913 7,416 7,487

23,010 108,708 21,669 25,942 21,614 17,981 21,502 115,310 21,966 22,73211,972 56,191 11,134 13,421 11,299 9,232 11,105 60,167 11,374 12,01111,038 52,517 10,535 12,521 10,315 8,749 10,397 55,143 10,592 10,721

57,566 287,148 54,497 67,087 57,802 50,001 57,761 318,043 59,760 61,53329,755 149,512 28,393 34,850 29,991 26,072 30,206 166,777 31,534 32,21027,811 137,636 26,104 32,237 27,811 23,929 27,555 151,266 28,226 29,323

3,509 18,046 3,544 4,061 3,575 3,185 3,681 19,537 3,657 3,7001,833 9,399 1,876 2,141 1,868 1,607 1,907 10,122 1,920 1,9081,676 8,647 1,668 1,920 1,707 1,578 1,774 9,415 1,737 1,792

6,557 31,748 6,183 7,624 6,430 5,271 6,240 30,496 6,169 6,2493,352 16,412 3,148 3,866 3,353 2,746 3,299 15,972 3,247 3,2363,205 15,336 3,035 3,758 3,077 2,525 2,941 14,524 2,922 3,013

4,641 23,217 4,390 5,555 4,717 3,959 4,596 25,052 4,788 4,9552,368 12,048 2,271 2,871 2,459 2,062 2,385 13,246 2,508 2,6082,273 11,169 2,119 2,684 2,258 1,897 2,211 11,806 2,280 2,347

10,724 51,982 9,714 12,332 10,502 8,877 10,557 58,514 10,983 11,1405,582 27,126 5,104 6,424 5,399 4,619 5,580 30,794 5,674 5,9385,142 24,856 4,610 5,908 5,103 4,258 4,977 27,720 5,309 5,202

10 114 5 6 7 8 9

YEAR-END POPULATION BY SEX AND SINGLE YEAR OF AGE FORCOUNTIES AND CITIES, 2018

Table 1.

28

15 19

Sex Sub-total

Total 206,825 208,215 218,475 1,318,265 227,396 246,180Grand Total Male 108,104 108,496 114,583 687,961 119,092 128,627

Female 98,721 99,719 103,892 630,304 108,304 117,553

Total 33,326 32,818 35,301 215,440 36,797 39,836 New Taipei City Male 17,398 16,946 18,571 112,349 19,314 20,828

Female 15,928 15,872 16,730 103,091 17,483 19,008

Total 22,223 21,612 21,907 125,483 22,339 23,695 Taipei City Male 11,522 11,463 11,564 65,202 11,574 12,353

Female 10,701 10,149 10,343 60,281 10,765 11,342

Total 21,692 22,016 22,991 136,278 23,890 25,883 Taoyuan City Male 11,431 11,569 12,074 71,272 12,556 13,487

Female 10,261 10,447 10,917 65,006 11,334 12,396

Total 26,642 26,791 28,298 169,060 28,917 31,602 Taichung City Male 13,995 13,890 14,647 87,748 15,061 16,455

Female 12,647 12,901 13,651 81,312 13,856 15,147

Total 15,709 15,924 16,352 99,786 17,096 18,351 Tainan City Male 8,204 8,295 8,476 52,044 8,974 9,609

Female 7,505 7,629 7,876 47,742 8,122 8,742

Total 22,950 23,551 24,111 150,488 25,842 27,912 Kaohsiung City Male 11,889 12,258 12,635 78,174 13,363 14,581

Female 11,061 11,293 11,476 72,314 12,479 13,331

Total 63,478 64,626 68,646 414,252 71,517 77,803 Taiwan Province Male 33,244 33,619 36,170 217,316 37,713 40,729

Female 30,234 31,007 32,476 196,936 33,804 37,074

Total 3,888 4,018 4,274 25,713 4,470 4,702 Yilan County Male 1,997 2,076 2,221 13,465 2,331 2,453

Female 1,891 1,942 2,053 12,248 2,139 2,249

Total 5,993 5,958 6,127 34,499 6,234 6,616 Hsinchu County Male 3,128 3,159 3,202 18,139 3,229 3,518

Female 2,865 2,799 2,925 16,360 3,005 3,098

Total 4,958 4,915 5,436 31,975 5,498 6,207 Miaoli County Male 2,587 2,608 2,935 16,924 2,963 3,353

Female 2,371 2,307 2,501 15,051 2,535 2,854

Total 11,639 11,840 12,912 76,987 13,500 14,542 Changhua County Male 6,212 6,135 6,835 40,463 7,150 7,645

Female 5,427 5,705 6,077 36,524 6,350 6,897

14 15 16District

12 13

29

20 24

Sub-total Sub-total

256,717 305,561 282,411 1,553,109 266,753 322,175 320,937 322,767 320,477 1,597,391133,533 159,360 147,349 806,031 138,584 167,497 166,677 166,921 166,352 829,259123,184 146,201 135,062 747,078 128,169 154,678 154,260 155,846 154,125 768,132

42,011 50,379 46,417 258,854 44,107 53,018 53,146 54,298 54,285 276,50221,856 26,163 24,188 134,055 22,821 27,552 27,609 28,035 28,038 144,00120,155 24,216 22,229 124,799 21,286 25,466 25,537 26,263 26,247 132,501

24,100 28,708 26,641 143,954 24,862 29,802 29,243 30,369 29,678 152,02212,521 14,915 13,839 74,229 12,949 15,314 14,938 15,730 15,298 76,97011,579 13,793 12,802 69,725 11,913 14,488 14,305 14,639 14,380 75,052

26,648 31,402 28,455 154,612 26,786 32,072 31,768 32,149 31,837 159,36913,924 16,420 14,885 80,255 13,978 16,531 16,585 16,513 16,648 82,00312,724 14,982 13,570 74,357 12,808 15,541 15,183 15,636 15,189 77,366

33,119 38,816 36,606 197,168 33,626 41,300 41,339 40,620 40,283 201,00517,068 20,101 19,063 102,226 17,477 21,583 21,284 20,989 20,893 103,22016,051 18,715 17,543 94,942 16,149 19,717 20,055 19,631 19,390 97,785

19,481 23,465 21,393 119,621 20,160 24,860 24,612 25,134 24,855 126,61010,061 12,240 11,160 62,306 10,600 13,054 12,828 13,007 12,817 65,581

9,420 11,225 10,233 57,315 9,560 11,806 11,784 12,127 12,038 61,029

28,890 35,681 32,163 178,679 30,403 36,799 37,033 37,248 37,196 185,01214,993 18,576 16,661 92,538 15,639 19,021 19,164 19,308 19,406 95,93813,897 17,105 15,502 86,141 14,764 17,778 17,869 17,940 17,790 89,074

81,252 95,118 88,562 487,727 84,793 101,581 101,247 100,384 99,722 484,45842,495 49,912 46,467 254,236 44,127 53,057 53,006 52,057 51,989 255,23538,757 45,206 42,095 233,491 40,666 48,524 48,241 48,327 47,733 229,223

5,051 5,931 5,559 32,467 5,482 6,758 6,741 6,814 6,672 32,8342,626 3,107 2,948 16,884 2,798 3,532 3,608 3,520 3,426 17,2862,425 2,824 2,611 15,583 2,684 3,226 3,133 3,294 3,246 15,548

6,868 7,710 7,071 37,853 6,598 7,907 7,881 7,632 7,835 36,5113,645 4,043 3,704 19,736 3,438 4,147 4,182 3,918 4,051 19,3553,223 3,667 3,367 18,117 3,160 3,760 3,699 3,714 3,784 17,156

6,329 7,151 6,790 37,332 6,200 7,665 7,914 7,741 7,812 38,6473,335 3,710 3,563 19,571 3,257 4,063 4,021 4,051 4,179 20,5292,994 3,441 3,227 17,761 2,943 3,602 3,893 3,690 3,633 18,118

14,999 17,425 16,521 88,373 15,616 18,387 18,369 18,062 17,939 91,7197,802 9,225 8,641 46,030 8,066 9,572 9,672 9,376 9,344 47,9247,197 8,200 7,880 42,343 7,550 8,815 8,697 8,686 8,595 43,795

23 2417 18 19 20 21 22

YEAR-END POPULATION BY SEX AND SINGLE YEAR OF AGE FORCOUNTIES AND CITIES, 2018 (Cont. 1)

Table 1.

30

25 29

Sex Sub-total

Total 324,083 317,688 315,859 331,898 307,863 1,652,938 338,421Grand Total Male 167,510 165,437 164,652 172,776 158,884 837,430 174,117

Female 156,573 152,251 151,207 159,122 148,979 815,508 164,304

Total 55,733 55,050 54,647 57,789 53,283 281,478 58,277 New Taipei City Male 29,078 28,720 28,522 30,160 27,521 141,796 29,812

Female 26,655 26,330 26,125 27,629 25,762 139,682 28,465

Total 29,641 29,581 29,717 32,437 30,646 180,768 34,947 Taipei City Male 15,073 15,113 15,204 16,446 15,134 85,513 16,905

Female 14,568 14,468 14,513 15,991 15,512 95,255 18,042

Total 31,801 31,493 31,481 33,336 31,258 167,136 34,122 Taoyuan City Male 16,360 16,391 16,237 17,087 15,928 83,636 17,414

Female 15,441 15,102 15,244 16,249 15,330 83,500 16,708

Total 40,644 40,097 39,678 41,751 38,835 208,118 42,457 Taichung City Male 20,841 20,708 20,544 21,249 19,878 104,212 21,673

Female 19,803 19,389 19,134 20,502 18,957 103,906 20,784

Total 25,721 24,619 25,100 26,384 24,786 134,717 27,749 Tainan City Male 13,092 12,842 13,103 13,634 12,910 68,780 14,421

Female 12,629 11,777 11,997 12,750 11,876 65,937 13,328

Total 37,597 36,519 36,855 38,623 35,418 190,984 39,743 Kaohsiung City Male 19,486 18,944 19,274 20,162 18,072 97,395 20,573

Female 18,111 17,575 17,581 18,461 17,346 93,589 19,170

Total 100,340 97,717 95,972 99,051 91,378 478,301 98,630 Taiwan Province Male 52,214 51,398 50,581 52,760 48,282 250,356 52,054

Female 48,126 46,319 45,391 46,291 43,096 227,945 46,576

Total 6,914 6,655 6,504 6,635 6,126 30,256 6,456 Yilan County Male 3,524 3,544 3,417 3,585 3,216 15,830 3,445

Female 3,390 3,111 3,087 3,050 2,910 14,426 3,011

Total 7,541 7,300 7,259 7,526 6,885 36,994 7,393 Hsinchu County Male 3,941 3,887 3,844 4,030 3,653 19,017 3,843

Female 3,600 3,413 3,415 3,496 3,232 17,977 3,550

Total 7,933 7,833 7,581 7,865 7,435 37,994 7,812 Miaoli County Male 4,168 4,111 4,069 4,217 3,964 20,110 4,194

Female 3,765 3,722 3,512 3,648 3,471 17,884 3,618

Total 18,505 18,442 18,031 18,979 17,762 94,375 19,222 Changhua County Male 9,612 9,635 9,366 10,010 9,301 49,004 10,053

Female 8,893 8,807 8,665 8,969 8,461 45,371 9,169

29 30District

25 26 27 28

31

30 34 35 39

Sub-total Sub-total

307,404 300,863 339,483 366,767 2,013,902 379,058 401,276 411,600 406,694 415,274 1,914,048157,449 152,079 170,243 183,542 996,693 188,513 198,481 203,847 200,360 205,492 941,853149,955 148,784 169,240 183,225 1,017,209 190,545 202,795 207,753 206,334 209,782 972,195

52,444 50,801 57,555 62,401 347,077 64,259 68,879 70,870 70,303 72,766 338,57326,671 25,387 28,868 31,058 170,579 31,836 33,853 34,771 34,507 35,612 165,12525,773 25,414 28,687 31,343 176,498 32,423 35,026 36,099 35,796 37,154 173,448

32,592 33,073 38,307 41,849 234,849 44,067 46,931 48,681 47,246 47,924 216,37115,600 15,366 17,896 19,746 110,165 20,714 22,075 22,753 22,210 22,413 100,86416,992 17,707 20,411 22,103 124,684 23,353 24,856 25,928 25,036 25,511 115,507

31,154 30,022 34,544 37,294 204,187 39,037 41,080 41,786 40,961 41,323 186,19915,705 15,120 17,074 18,323 100,208 19,327 20,100 20,606 19,879 20,296 91,63815,449 14,902 17,470 18,971 103,979 19,710 20,980 21,180 21,082 21,027 94,561

38,864 37,895 42,968 45,934 248,269 47,008 49,549 50,739 50,156 50,817 228,15519,695 18,947 21,208 22,689 121,673 23,073 24,132 25,019 24,391 25,058 110,13919,169 18,948 21,760 23,245 126,596 23,935 25,417 25,720 25,765 25,759 118,016

25,125 24,263 27,626 29,954 162,581 30,646 32,545 33,334 32,663 33,393 151,86612,946 12,419 13,887 15,107 81,333 15,356 16,165 16,727 16,180 16,905 75,63612,179 11,844 13,739 14,847 81,248 15,290 16,380 16,607 16,483 16,488 76,230

35,373 34,374 39,127 42,367 234,676 43,763 46,347 47,443 47,832 49,291 232,80418,176 17,519 19,862 21,265 116,269 21,804 22,952 23,482 23,602 24,429 114,32017,197 16,855 19,265 21,102 118,407 21,959 23,395 23,961 24,230 24,862 118,484

89,675 88,287 97,152 104,557 570,821 108,013 113,544 116,439 115,380 117,445 549,19147,536 46,247 50,349 54,170 290,803 55,271 57,995 59,363 58,524 59,650 278,82942,139 42,040 46,803 50,387 280,018 52,742 55,549 57,076 56,856 57,795 270,362

5,750 5,494 6,078 6,478 34,627 6,635 6,912 7,101 6,922 7,057 33,7843,044 2,930 3,149 3,262 17,585 3,387 3,554 3,566 3,518 3,560 16,9152,706 2,564 2,929 3,216 17,042 3,248 3,358 3,535 3,404 3,497 16,869

6,605 6,861 7,669 8,466 50,013 9,062 9,852 10,304 10,242 10,553 49,5323,456 3,539 3,940 4,239 24,662 4,471 4,887 5,103 5,046 5,155 24,5863,149 3,322 3,729 4,227 25,351 4,591 4,965 5,201 5,196 5,398 24,946

7,203 6,913 7,657 8,409 45,348 8,657 9,251 9,215 8,985 9,240 40,9163,865 3,643 4,011 4,397 23,364 4,485 4,750 4,815 4,613 4,701 21,0733,338 3,270 3,646 4,012 21,984 4,172 4,501 4,400 4,372 4,539 19,843

17,749 17,549 19,364 20,491 107,374 20,835 21,568 21,884 21,404 21,683 97,8629,287 9,037 9,978 10,649 54,796 10,471 10,975 11,319 10,848 11,183 50,3428,462 8,512 9,386 9,842 52,578 10,364 10,593 10,565 10,556 10,500 47,520

31 32 33 34 3935 36 37 38


Table 1.

32

40 44

Sex Sub-total


Female 204,227 194,978 210,373 183,129 179,488 912,359 178,145


Female 36,363 34,641 37,681 32,762 32,001 162,543 31,851


Female 24,369 22,553 25,583 21,629 21,373 106,984 20,600


Female 20,131 19,072 20,237 17,665 17,456 87,043 17,009


Female 25,162 23,814 25,507 22,192 21,341 111,336 21,748


Female 15,961 15,488 16,557 14,403 13,821 71,378 13,913


Female 24,490 23,562 25,686 22,538 22,208 111,256 22,039


Female 56,603 54,705 57,975 50,865 50,214 256,074 49,927


Female 3,459 3,247 3,511 3,353 3,299 16,940 3,261


Female 5,326 5,060 5,486 4,508 4,566 21,573 4,468


Female 4,278 4,054 4,172 3,735 3,604 18,878 3,634


Female 10,169 9,785 10,050 8,894 8,622 42,504 8,443

42 43 44 45District

40 41

33

45 49 50 54

Sub-total Sub-total

349,664 359,081 367,831 368,074 1,824,194 366,461 347,785 371,843 366,491 371,614 1,818,291170,996 176,565 181,271 181,604 900,275 181,140 172,304 183,300 180,395 183,136 890,359178,668 182,516 186,560 186,470 923,919 185,321 175,481 188,543 186,096 188,478 927,932

61,366 62,789 64,127 64,136 318,551 63,406 60,353 64,478 64,876 65,438 323,22629,730 30,343 30,978 30,675 149,896 30,087 28,740 30,056 30,302 30,711 150,50531,636 32,446 33,149 33,461 168,655 33,319 31,613 34,422 34,574 34,727 172,721

38,767 39,894 40,740 40,892 198,421 39,975 38,145 39,841 39,762 40,698 200,26517,878 18,406 18,767 18,858 91,871 18,355 17,647 18,471 18,466 18,932 92,66920,889 21,488 21,973 22,034 106,550 21,620 20,498 21,370 21,296 21,766 107,596

33,630 34,244 34,885 34,420 165,996 33,765 31,862 33,532 33,617 33,220 156,21816,356 16,862 16,982 16,945 80,983 16,488 15,618 16,269 16,420 16,188 75,75217,274 17,382 17,903 17,475 85,013 17,277 16,244 17,263 17,197 17,032 80,466

41,643 42,143 43,306 43,452 213,411 43,565 41,182 43,272 42,296 43,096 204,88719,604 19,974 20,545 20,833 101,684 20,803 19,650 20,573 20,261 20,397 97,87822,039 22,169 22,761 22,619 111,727 22,762 21,532 22,699 22,035 22,699 107,009

26,857 27,874 28,726 29,248 148,507 29,368 27,919 30,679 29,889 30,652 152,72113,014 13,737 14,134 14,355 73,515 14,569 13,720 15,249 14,759 15,218 76,04513,843 14,137 14,592 14,893 74,992 14,799 14,199 15,430 15,130 15,434 76,676

42,722 43,702 45,038 44,116 218,091 44,531 42,145 44,305 43,222 43,888 215,73120,910 21,383 22,354 21,714 107,917 22,109 21,108 21,798 21,263 21,639 104,27121,812 22,319 22,684 22,402 110,174 22,422 21,037 22,507 21,959 22,249 111,460

102,412 106,026 108,502 109,316 547,435 109,362 103,740 112,777 109,966 111,590 551,13852,373 54,620 56,197 56,919 287,420 57,443 54,572 59,450 57,455 58,500 285,96950,039 51,406 52,305 52,397 260,015 51,919 49,168 53,327 52,511 53,090 265,169

6,492 6,764 7,250 7,352 36,180 7,266 6,931 7,341 7,155 7,487 36,4443,257 3,435 3,631 3,856 18,512 3,706 3,575 3,778 3,638 3,815 18,4393,235 3,329 3,619 3,496 17,668 3,560 3,356 3,563 3,517 3,672 18,005

8,784 8,862 8,898 8,705 40,366 8,353 7,737 8,268 8,141 7,867 37,4024,489 4,533 4,583 4,539 20,986 4,317 4,009 4,304 4,247 4,109 19,5824,295 4,329 4,315 4,166 19,380 4,036 3,728 3,964 3,894 3,758 17,820

7,743 8,048 8,163 8,274 40,792 8,220 7,626 8,365 8,156 8,425 42,8643,981 4,316 4,293 4,394 21,623 4,391 4,034 4,413 4,331 4,454 22,4763,762 3,732 3,870 3,880 19,169 3,829 3,592 3,952 3,825 3,971 20,388

17,240 17,601 17,771 18,099 92,289 18,102 17,239 19,143 18,583 19,222 94,7388,920 9,083 9,222 9,425 47,899 9,457 8,907 9,980 9,653 9,902 48,8668,320 8,518 8,549 8,674 44,390 8,645 8,332 9,163 8,930 9,320 45,872

46 47 48 49 5450 51 52 53


Table 1.

34

55 59

Sex Sub-total


Female 191,857 188,106 184,575 182,437 180,957 837,079 175,035


Female 35,975 34,797 33,987 33,861 34,101 157,147 33,088


Female 22,052 21,507 20,986 21,471 21,580 104,656 21,389


Female 17,235 16,529 15,971 15,455 15,276 69,328 14,676


Female 22,641 21,809 21,308 20,668 20,583 91,817 19,378


Female 15,495 15,603 15,534 15,302 14,742 67,201 14,316


Female 22,503 22,598 22,395 22,269 21,695 105,348 21,558


Female 54,464 53,816 53,149 52,018 51,722 235,553 49,342


Female 3,640 3,666 3,590 3,585 3,524 15,738 3,386


Female 3,886 3,726 3,550 3,438 3,220 14,603 3,089


Female 4,248 4,070 4,141 3,889 4,040 17,511 3,634


Female 9,389 9,249 9,195 9,085 8,954 40,981 8,681

57 58 59 60District

55 56

35

60 64 65 69

Sub-total Sub-total

322,227 331,739 322,268 303,107 1,308,576 290,064 281,714 283,146 236,524 217,128 729,554155,730 160,440 155,859 145,268 622,955 138,964 134,583 134,499 112,406 102,503 339,426166,497 171,299 166,409 157,839 685,621 151,100 147,131 148,647 124,118 114,625 390,128

57,594 59,982 58,374 54,428 232,421 52,460 50,726 50,186 41,343 37,706 119,08426,423 27,770 27,212 24,914 107,766 24,293 23,350 23,334 19,177 17,612 55,16231,171 32,212 31,162 29,514 124,655 28,167 27,376 26,852 22,166 20,094 63,922

38,230 39,967 39,413 37,396 172,292 36,976 36,503 36,320 32,247 30,246 99,97317,405 18,468 18,377 17,489 78,925 17,087 16,852 16,668 14,564 13,754 45,33020,825 21,499 21,036 19,907 93,367 19,889 19,651 19,652 17,683 16,492 54,643

26,486 27,109 25,962 24,671 103,298 23,304 22,948 22,235 17,985 16,826 53,94512,732 12,844 12,462 11,538 48,202 10,882 10,776 10,417 8,267 7,860 24,61213,754 14,265 13,500 13,133 55,096 12,422 12,172 11,818 9,718 8,966 29,333

34,922 35,779 34,743 32,891 137,374 31,225 29,549 29,600 25,166 21,834 73,46516,699 17,046 16,625 15,526 65,149 14,874 14,087 13,818 11,995 10,375 33,98018,223 18,733 18,118 17,365 72,225 16,351 15,462 15,782 13,171 11,459 39,485

27,255 27,463 25,958 24,633 104,586 23,219 22,211 23,106 18,751 17,299 58,21913,747 13,615 12,899 12,163 51,326 11,451 10,999 11,281 9,219 8,376 27,21813,508 13,848 13,059 12,470 53,260 11,768 11,212 11,825 9,532 8,923 31,001

39,692 40,844 40,342 37,813 167,998 36,962 35,797 36,810 30,849 27,580 92,44618,782 19,383 18,926 17,810 78,576 17,387 16,744 17,177 14,461 12,807 42,76320,910 21,461 21,416 20,003 89,422 19,575 19,053 19,633 16,388 14,773 49,683

95,313 98,025 95,235 88,970 383,273 84,177 82,250 83,299 69,045 64,502 228,45848,507 49,988 48,190 44,647 189,260 42,067 40,891 41,008 34,144 31,150 108,31946,806 48,037 47,045 44,323 194,013 42,110 41,359 42,291 34,901 33,352 120,139

6,204 6,547 6,303 5,747 24,316 5,613 5,133 5,264 4,402 3,904 14,0233,129 3,343 3,162 2,815 11,888 2,746 2,523 2,580 2,178 1,861 6,7023,075 3,204 3,141 2,932 12,428 2,867 2,610 2,684 2,224 2,043 7,321

6,014 6,223 5,914 5,449 22,874 5,127 4,925 4,878 4,084 3,860 13,5513,095 3,205 3,028 2,758 11,373 2,563 2,462 2,396 2,034 1,918 6,5702,919 3,018 2,886 2,691 11,501 2,564 2,463 2,482 2,050 1,942 6,981

7,398 7,541 7,110 6,898 28,570 6,286 6,316 5,973 5,218 4,777 17,4563,858 3,945 3,757 3,510 14,296 3,183 3,191 2,937 2,597 2,388 8,4623,540 3,596 3,353 3,388 14,274 3,103 3,125 3,036 2,621 2,389 8,994

16,169 17,312 16,486 15,489 66,927 14,618 14,188 14,613 12,289 11,219 39,7008,221 8,876 8,390 7,669 33,250 7,365 7,085 7,264 6,172 5,364 19,1577,948 8,436 8,096 7,820 33,677 7,253 7,103 7,349 6,117 5,855 20,543

61 62 63 64 6965 66 67 68


Table 1.

36

70 74

Sex Sub-total

Total 188,624 163,682 130,361 115,094 131,793 605,485 130,980Grand Total Male 88,957 76,704 60,437 52,914 60,414 268,919 59,607

Female 99,667 86,978 69,924 62,180 71,379 336,566 71,373


Female 16,948 14,727 11,425 9,774 11,048 48,866 10,944


Female 13,998 12,749 9,814 8,501 9,581 44,312 9,499


Female 7,604 6,404 5,389 4,685 5,251 23,366 5,177


Female 9,982 8,651 7,291 6,411 7,150 32,546 6,867


Female 8,206 6,852 5,298 4,774 5,871 28,018 5,964


Female 13,312 10,871 8,651 7,818 9,031 40,127 8,762


Female 29,157 26,317 21,690 19,883 23,092 117,734 23,812


Female 1,712 1,527 1,276 1,312 1,494 8,027 1,618


Female 1,608 1,529 1,289 1,145 1,410 7,170 1,485


Female 2,123 2,016 1,578 1,556 1,721 8,984 1,836


Female 5,086 4,515 3,691 3,379 3,872 20,112 4,029

72 73 74 75District

70 71

37

75 79 80 84

Sub-total Sub-total

125,531 122,657 118,131 108,186 410,054 96,615 90,310 80,748 75,140 67,241 247,73456,269 54,837 51,671 46,535 171,621 41,196 37,858 33,725 30,991 27,851 109,88869,262 67,820 66,460 61,651 238,433 55,419 52,452 47,023 44,149 39,390 137,846

18,481 17,545 16,540 14,476 51,691 12,598 11,620 10,180 9,291 8,002 30,7578,212 7,772 7,115 6,021 21,195 5,215 4,791 4,083 3,849 3,257 14,276

10,269 9,773 9,425 8,455 30,496 7,383 6,829 6,097 5,442 4,745 16,481

16,236 15,545 15,061 13,707 51,509 12,178 11,186 10,083 9,585 8,477 34,5117,140 6,537 6,390 5,669 20,710 4,942 4,498 3,999 3,779 3,492 15,6819,096 9,008 8,671 8,038 30,799 7,236 6,688 6,084 5,806 4,985 18,830

8,719 8,311 7,828 7,038 26,266 6,331 5,880 5,127 4,693 4,235 18,0343,791 3,608 3,391 2,917 10,839 2,592 2,387 2,111 1,927 1,822 9,8364,928 4,703 4,437 4,121 15,427 3,739 3,493 3,016 2,766 2,413 8,198

12,312 11,702 11,212 10,497 37,723 8,927 8,494 7,453 6,757 6,092 22,4215,456 5,209 4,856 4,523 15,762 3,785 3,589 3,144 2,716 2,528 10,2346,856 6,493 6,356 5,974 21,961 5,142 4,905 4,309 4,041 3,564 12,187

9,999 10,442 9,994 9,067 37,359 8,408 7,926 7,412 7,116 6,497 22,1774,513 4,667 4,387 3,881 15,625 3,624 3,268 3,127 2,989 2,617 9,2345,486 5,775 5,607 5,186 21,734 4,784 4,658 4,285 4,127 3,880 12,943

15,061

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