Fertility and education in Japan

This page gives information of type fertility and education about the country Japan.
See all pages giving information on fertility and education for particular countries|See all pages giving information about Japan

Data here are taken from this paper by Retherford et al.

Total fertility rate by completed education level

Note that the total fertility rate (TFR) is measured based on the level of completed education at the time of having children. Women who are still pursuing education are omitted from the statistics (?).

Time period	Junior high	Senior high	Junior college	University	Total	TFR as reported by HFD (average of five years)	TFR as reported in UN data
1966-70	2.19	1.99	1.88	1.9	1.99	2.0356	2.0486
1971-75	2.32	2.16	1.98	1.93	2.09	2.0732	2.0708
1976-80	2.05	1.91	1.75	1.64	1.78	1.7764	1.8484
1981-85	1.86	1.72	1.77	1.63	1.72	1.7652	1.7396
1986-90	1.71	1.7	1.61	1.48	1.59	1.6368	1.6368
1991-95	1.57	1.56	1.43	1.24	1.43	1.488	1.4704
1996-2000	1.48	1.49	1.36	1.14	1.34	1.3832	1.3554
Maximum	2.32	2.16	1.98	1.93	2.09	2.0732	2.0708
Minimum	1.48	1.49	1.36	1.14	1.34	1.3832	1.3554
Average (arithmetic mean)	1.8828571429	1.79	1.6828571429	1.5657142857	1.7057142857	1.7369142857	1.7385714286
Geometric mean	1.8598566989	1.7763083083	1.6691871212	1.5396381338	1.686434181	1.720256161	1.7197964151
Median	1.86	1.72	1.75	1.63	1.72	1.7652	1.7396
Standard deviation	0.3172650987	0.240554914	0.228306394	0.3024266932	0.2760952217	0.2587648316	0.2731454418
Slope for best linear fit (using linear regression)	-0.1417857143	-0.1039285714	-0.1	-0.1364285714	-0.1235714286	-0.1166857143	-0.1247142857
Multiplier for best logarithmic fit (using linear regression on logarithm)	0.9264883066	0.943265982	0.9409043005	0.9139328737	0.9291277283	0.9342491507	0.9295490923
$R^2$ for linear regression	0.9320240799	0.8710603193	0.8953042207	0.9496798042	0.9348138431	0.9489244914	0.9728620743

Age-specific fertility rate by completed education level

Age 15-19

Time period	Junior high	Senior high	Junior college	University	Total
1966-70	14	3	1	0	5
1971-75	25	4	1	0	5
1976-80	27	4	1	0	4
1981-85	32	4	1	0	4
1986-90	33	4	1	0	4
1991-95	33	5	0	0	4
1996-2000	34	6	1	0	4
Maximum	34	6	1	0	5
Minimum	14	3	0	0	4
Average (arithmetic mean)	28.2857142857	4.2857142857	0.8571428571	0	4.2857142857
Geometric mean	27.2636553708	4.1996372783	0	0	4.2633262331
Median	32	4	1	0	4
Standard deviation	7.1580790187	0.9511897312	0.377964473	0	0.4879500365
Slope for best linear fit (using linear regression)	-0.1417857143	-0.1039285714	-0.1	-0.1364285714	-0.1235714286
Multiplier for best logarithmic fit (using linear regression on logarithm)	0.9264883066	0.943265982	0.9409043005	0.9139328737	0.9291277283
$R^2$ for linear regression	0.9320240799	0.8710603193	0.8953042207	0.9496798042	0.9348138431

Age 20-24

Time period	Junior high	Senior high	Junior college	University	Total
1966-70	140	89	49	25	967
1971-75	162	113	60	29	110
1976-80	156	87	49	20	87
1981-85	130	70	42	15	70
1986-90	115	72	29	9	51
1991-95	101	62	22	5	41
1996-2000	87	63	22	5	37
Maximum	162	113	60	29	967
Minimum	87	62	22	5	37
Average (arithmetic mean)	127.2857142857	79.4285714286	39	15.4285714286	194.7142857143
Geometric mean	124.5435820585	77.7819165062	36.4158847378	12.5464324932	90.6028260222
Median	130	72	42	15	70
Standard deviation	27.878990212	18.2287057765	14.8772757363	9.6238790318	341.543903613
Slope for best linear fit (using linear regression)	-0.1417857143	-0.1039285714	-0.1	-0.1364285714	-0.1235714286
Multiplier for best logarithmic fit (using linear regression on logarithm)	0.9264883066	0.943265982	0.9409043005	0.9139328737	0.9291277283
$R^2$ for linear regression	0.9320240799	0.8710603193	0.8953042207	0.9496798042	0.9348138431

Age 25-29

Time period	Junior high	Senior high	Junior college	University	Total
1966-70	188	197	194	190	193
1971-75	187	207	205	199	200
1976-80	159	185	187	173	179
1981-85	143	176	186	163	176
1986-90	124	155	157	129	155
1991-95	102	137	125	89	124
1996-2000	91	117	105	69	102
Maximum	188	207	205	199	200
Minimum	91	117	105	69	102
Average (arithmetic mean)	142	167.7142857143	165.5714285714	144.5714285714	161.2857142857
Geometric mean	137.3046115559	164.7814962905	161.3779365309	135.6379799494	157.310633428
Median	143	176	186	163	176
Standard deviation	38.6350445408	32.7755716234	37.9203425743	50.3582404473	36.4678592997
Slope for best linear fit (using linear regression)	-0.1417857143	-0.1039285714	-0.1	-0.1364285714	-0.1235714286
Multiplier for best logarithmic fit (using linear regression on logarithm)	0.9264883066	0.943265982	0.9409043005	0.9139328737	0.9291277283
R^2 for linear regression	0.9320240799	0.8710603193	0.8953042207	0.9496798042	0.9348138431

Age 30-34

Time period	Junior high	Senior high	Junior college	University	Total
1966-70	75	86	103	121	82
1971-75	71	86	103	122	82
1976-80	55	72	93	107	70
1981-85	54	76	99	117	76
1986-90	56	88	108	123	88
1991-95	61	84	107	114	92
1996-2000	61	85	106	109	92
Maximum	75	88	108	123	92
Minimum	54	72	93	107	70
Average (arithmetic mean)	61.8571428571	82.4285714286	102.7142857143	116.1428571429	83.1428571429
Geometric mean	61.4150518213	82.2330252826	102.5957633859	115.9902847082	82.7832597182
Median	61	85	103	117	82
Standard deviation	8.1737093054	5.9960304329	5.2508502713	6.3882332307	8.2346538367
Slope for best linear fit (using linear regression)	-0.1417857143	-0.1039285714	-0.1	-0.1364285714	-0.1235714286
Multiplier for best logarithmic fit (using linear regression on logarithm)	0.9264883066	0.943265982	0.9409043005	0.9139328737	0.9291277283
$R^2$ for linear regression	0.9320240799	0.8710603193	0.8953042207	0.9496798042	0.9348138431

Age 35-39

Time period	Junior high	Senior high	Junior college	University	Total
1966-70	19	19	25	37	19
1971-75	16	19	25	31	18
1976-80	12	14	19	24	14
1981-85	12	16	22	28	16
1986-90	13	18	24	31	18
1991-95	16	20	29	34	23
1996-2000	21	25	34	40	29
Maximum	21	25	34	40	29
Minimum	12	14	19	24	14
Average (arithmetic mean)	15.5714285714	18.7142857143	25.4285714286	32.1428571429	19.5714285714
Geometric mean	15.2431281494	18.4501404132	25.0458008072	31.746106616	19.0776394883
Median	16	19	25	31	18
Standard deviation	3.5050983275	3.4503277967	4.8599431704	5.3984124651	4.9952358255
Slope for best linear fit (using linear regression)	-0.1417857143	-0.1039285714	-0.1	-0.1364285714	-0.1235714286
Multiplier for best logarithmic fit (using linear regression on logarithm)	0.9264883066	0.943265982	0.9409043005	0.9139328737	0.9291277283
$R^2$ for linear regression	0.9320240799	0.8710603193	0.8953042207	0.9496798042	0.9348138431

Age 40-44

Time period	Junior high	Senior high	Junior college	University	Total
1966-70	3	3	4	6	3
1971-75	3	3	3	5	3
1976-80	2	2	2	3	2
1981-85	2	2	2	3	2
1986-90	2	2	3	4	2
1991-95	2	2	3	4	2
1996-2000	3	3	4	5	3
Maximum	3	3	4	6	3
Minimum	2	2	2	3	2
Average (arithmetic mean)	2.4285714286	2.4285714286	3	4.2857142857	2.4285714286
Geometric mean	2.379565579	2.379565579	2.9007229318	4.1610954566	2.379565579
Median	2	2	3	4	2
Standard deviation	0.5345224838	0.5345224838	0.8164965809	1.1126972805	0.5345224838
Slope for best linear fit (using linear regression)	-0.1417857143	-0.1039285714	-0.1	-0.1364285714	-0.1235714286
Multiplier for best logarithmic fit (using linear regression on logarithm)	0.9264883066	0.943265982	0.9409043005	0.9139328737	0.9291277283
$R^2$ for linear regression	0.9320240799	0.8710603193	0.8953042207	0.9496798042	0.9348138431

Age 45-49

Time period	Junior high	Senior high	Junior college	University	Total
1966-70	0	0	0	1	0
1971-75	0	0	0	1	0
1976-80	0	0	0	0	0
1981-85	0	0	0	0	0
1986-90	0	0	0	0	0
1991-95	0	0	0	0	0
1996-2000	0	0	0	0	0
Maximum	0	0	0	1	0
Minimum	0	0	0	0	0
Average (arithmetic mean)	0	0	0	0.2857142857	0
Geometric mean	0	0	0	0	0
Median	0	0	0	0	0
Standard deviation	0	0	0	0.4879500365	0
Slope for best linear fit (using linear regression)	-0.1417857143	-0.1039285714	-0.1	-0.1364285714	-0.1235714286
Multiplier for best logarithmic fit (using linear regression on logarithm)	0.9264883066	0.943265982	0.9409043005	0.9139328737	0.9291277283
$R^2$ for linear regression	0.9320240799	0.8710603193	0.8953042207	0.9496798042	0.9348138431

Age-specific fertility rate by completed education level, with separate tables for each education level

Junior high

Time period	15-19	20-24	25-29	30-34	35-39	40-44	45-49	Total
1966-70	14	140	188	75	19	3	0	2.19
1971-75	25	162	187	71	16	3	0	2.32
1976-80	27	156	159	55	12	2	0	2.05
1981-85	32	130	143	54	12	2	0	1.86
1986-90	33	115	124	56	13	2	0	1.71
1991-95	33	101	102	61	16	2	0	1.57
1996-2000	34	87	91	61	21	3	0	1.48
Maximum	34	162	188	75	21	3	0	2.32
Minimum	14	87	91	54	12	2	0	1.48
Average (arithmetic mean)	28.2857142857	127.2857142857	142	61.8571428571	15.5714285714	2.4285714286	0	1.8828571429
Geometric mean	27.2636553708	124.5435820585	137.3046115559	61.4150518213	15.2431281494	2.379565579	0	1.8598566989
Median	32	130	143	61	16	2	0	1.86
Standard deviation	7.1580790187	27.878990212	38.6350445408	8.1737093054	3.5050983275	0.5345224838	0	0.3172650987
Slope for best linear fit (using linear regression)	-0.1417857143	-0.1039285714	-0.1	-0.1364285714	-0.1235714286	-0.1235714286	-0.1235714286	-0.1235714286
Multiplier for best logarithmic fit (using linear regression on logarithm)	0.9264883066	0.943265982	0.9409043005	0.9139328737	0.9291277283	0.9291277283	0.9291277283	0.9291277283
$R^2$ for linear regression	0.9320240799	0.8710603193	0.8953042207	0.9496798042	0.9348138431	0.9348138431	0.9348138431	0.9348138431

Senior high

Time period	15-19	20-24	25-29	30-34	35-39	40-44	45-49	Total
1966-70	3	89	197	86	19	3	0	1.99
1971-75	4	113	207	86	19	3	0	2.16
1976-80	4	87	185	72	14	2	0	1.91
1981-85	4	70	176	76	16	2	0	1.72
1986-90	4	72	155	88	18	2	0	1.7
1991-95	5	62	137	84	20	2	0	1.56
1996-2000	6	63	117	85	25	3	0	1.49
Maximum	6	113	207	88	25	3	0	2.16
Minimum	3	62	117	72	14	2	0	1.49
Average (arithmetic mean)	4.2857142857	79.4285714286	167.7142857143	82.4285714286	18.7142857143	2.4285714286	0	1.79
Geometric mean	4.1996372783	77.7819165062	164.7814962905	82.2330252826	18.4501404132	2.379565579	0	1.7763083083
Median	4	72	176	85	19	2	0	1.72
Standard deviation	0.9511897312	18.2287057765	32.7755716234	5.9960304329	3.4503277967	0.5345224838	0	0.240554914
Slope for best linear fit (using linear regression)	-0.1417857143	-0.1039285714	-0.1	-0.1364285714	-0.1235714286	-0.1235714286	-0.1235714286	-0.1235714286
Multiplier for best logarithmic fit (using linear regression on logarithm)	0.9264883066	0.943265982	0.9409043005	0.9139328737	0.9291277283	0.9291277283	0.9291277283	0.9291277283
$R^2$ for linear regression	0.9320240799	0.8710603193	0.8953042207	0.9496798042	0.9348138431	0.9348138431	0.9348138431	0.9348138431

Junior college

Time period	15-19	20-24	25-29	30-34	35-39	40-44	45-49	Total
1966-70	1	49	194	103	25	4	0	1.88
1971-75	1	60	205	103	25	3	0	1.98
1976-80	1	49	187	93	19	2	0	1.75
1981-85	1	42	186	99	22	2	0	1.77
1986-90	1	29	157	108	24	3	0	1.61
1991-95	0	22	125	107	29	3	0	1.43
1996-2000	1	22	105	106	34	4	0	1.36
Maximum	1	60	205	108	34	4	0	1.98
Minimum	0	22	105	93	19	2	0	1.36
Average (arithmetic mean)	0.8571428571	39	165.5714285714	102.7142857143	25.4285714286	3	0	1.6828571429
Geometric mean	0	36.4158847378	161.3779365309	102.5957633859	25.0458008072	2.9007229318	0	1.6691871212
Median	1	42	186	103	25	3	0	1.75
Standard deviation	0.377964473	14.8772757363	37.9203425743	5.2508502713	4.8599431704	0.8164965809	0	0.228306394
Slope for best linear fit (using linear regression)	-0.1417857143	-0.1039285714	-0.1	-0.1364285714	-0.1235714286	-0.1235714286	-0.1235714286	-0.1235714286
Multiplier for best logarithmic fit (using linear regression on logarithm)	0.9264883066	0.943265982	0.9409043005	0.9139328737	0.9291277283	0.9291277283	0.9291277283	0.9291277283
$R^2$ for linear regression	0.9320240799	0.8710603193	0.8953042207	0.9496798042	0.9348138431	0.9348138431	0.9348138431	0.9348138431

University

Time period	15-19	20-24	25-29	30-34	35-39	40-44	45-49	Total
1966-70	0	25	190	121	37	6	1	1.9
1971-75	0	29	199	122	31	5	1	1.93
1976-80	0	20	173	107	24	3	0	1.64
1981-85	0	15	163	117	28	3	0	1.63
1986-90	0	9	129	123	31	4	0	1.48
1991-95	0	5	89	114	34	4	0	1.24
1996-2000	0	5	69	109	40	5	0	1.14
Maximum	0	29	199	123	40	6	1	1.93
Minimum	0	5	69	107	24	3	0	1.14
Average (arithmetic mean)	0	15.4285714286	144.5714285714	116.1428571429	32.1428571429	4.2857142857	0.2857142857	1.5657142857
Geometric mean	0	12.5464324932	135.6379799494	115.9902847082	31.746106616	4.1610954566	0	1.5396381338
Median	0	15	163	117	31	4	0	1.63
Standard deviation	0	9.6238790318	50.3582404473	6.3882332307	5.3984124651	1.1126972805	0.4879500365	0.3024266932
Slope for best linear fit (using linear regression)	-0.1417857143	-0.1039285714	-0.1	-0.1364285714	-0.1235714286	-0.1235714286	-0.1235714286	-0.1235714286
Multiplier for best logarithmic fit (using linear regression on logarithm)	0.9264883066	0.943265982	0.9409043005	0.9139328737	0.9291277283	0.9291277283	0.9291277283	0.9291277283
$R^2$ for linear regression	0.9320240799	0.8710603193	0.8953042207	0.9496798042	0.9348138431	0.9348138431	0.9348138431	0.9348138431