Appendix B
Correcting the Fertility Estimates in the 1988 Census
The 1988 census [18] questionnaire contained a single question to women about their births in the last 12 months. Unfortunately, because of mistakes in coding and processing, these data were not published in official census publications, and to this day, fertility estimates from the 1988 census remain unpublished. In an attempt to resolve this problem, members of the working group traveled to Senegal to work for a week on a team with officials from the Government of Senegal's Directorate of Statistics. The team analyzed the programs used to construct the fertility rates and reviewed the program used to clean the data before the final data analysis began. The Directorate of Statistics also made available to the team the raw data for a 10-percent sample in one department (Fatick) so that it could be carefully scrutinized.
The team identified the major problem to be that blank entries in the coded data were subject to two interpretations: blanks could signify either that there were no data for the women or that the women had not had a birth in the last 12 months. On closer examination, the team found that:
-
Boys and girls had been coded separately on the 1988 census data file. If either the number of boys or the number of girls was recorded as a blank on the data file, the program calculating the fertility rates excluded the birth(s) of the other sex.
-
If both entries were blank, the responses were treated as 0,0 (i.e., no boys, no girls).
The team used the 10 percent sample of Fatick to examine the importance of these findings for the fertility rates. They discovered that although the interviewers were supposed to have recorded the number of boys and girls born to all women in the 12 months before the census, the responses were missing for many women. Missing data were coded as two blank entries. There were also a considerable number of cases where one column contained data and the other was blank. Furthermore, the distribution of blank entries varied by the age of the women (with older and younger women having higher-than-average levels), but there seemed to be an underlying level of blank entries across all ages.
Based on this analysis, the age-specific fertility rates (ASFRs) were then reestimated using two methods: (1) assuming none of the blanks were missing births, and (2) assuming all of the blanks were missing births. At the national level, the interpretation of the blank entries altered the estimate of the total fertility rate (TFR) by approximately 0.3 of a birth. Although the difference in ASFRs between the two methods was not large, it confirmed the team's earlier finding that there was a distinct pattern to the blanks in the coded data. Subsequently, the ASFRs for each department were adjusted by the smallest ratio of [ASFR(ALL)/ASFR(NONE)], which was taken as the best estimate of the underlying level of nonresponse π in that department. Hence, the best estimate of the ASFRs in each region became:
Adjusted ASFR = π * ASFR (NONE)
These adjusted ASFRs are provided in Tables B-1 through B-11.
TABLE B-1 Age-Specific Fertility Rates, National, 1988 Census
|
Place of Residence |
||
Age Group |
Urban |
Rural |
Total |
10-14 |
0.005 |
0.016 |
0.012 |
15-19 |
0.075 |
0.193 |
0.142 |
20-24 |
0.203 |
0.295 |
0.254 |
25-29 |
0.253 |
0.288 |
0.274 |
30-34 |
0.242 |
0.244 |
0.243 |
35-39 |
0.182 |
0.153 |
0.164 |
40-44 |
0.083 |
0.074 |
0.078 |
45-49 |
0.024 |
0.028 |
0.026 |
50-54 |
0.009 |
0.013 |
0.012 |
TABLE B-2 Age-Specific Fertility Rates, Dakar, 1988 Census
|
Department |
|||
Age Group |
Dakar |
Pikine |
Rufisque |
Region |
Total |
|
|
|
|
10-14 |
0.003 |
0.006 |
0.005 |
0.004 |
15-19 |
0.048 |
0.086 |
0.068 |
0.063 |
20-24 |
0.147 |
0.233 |
0.206 |
0.182 |
25-29 |
0.202 |
0.284 |
0.278 |
0.238 |
30-34 |
0.206 |
0.264 |
0.259 |
0.236 |
35-39 |
0.161 |
0.200 |
0.205 |
0.179 |
40-44 |
0.078 |
0.094 |
0.117 |
0.088 |
45-49 |
0.021 |
0.025 |
0.024 |
0.023 |
50-54 |
0.006 |
0.013 |
0.005 |
0.009 |
Urban |
|
|
|
|
10-14 |
0.003 |
0.006 |
0.004 |
0.004 |
15-19 |
0.048 |
0.086 |
0.049 |
0.063 |
20-24 |
0.147 |
0.233 |
0.178 |
0.184 |
25-29 |
0.202 |
0.284 |
0.252 |
0.241 |
30-34 |
0.206 |
0.264 |
0.248 |
0.235 |
35-39 |
0.161 |
0.200 |
0.207 |
0.182 |
40-44 |
0.078 |
0.094 |
0.107 |
0.088 |
45-49 |
0.021 |
0.025 |
0.024 |
0.023 |
50-54 |
0.006 |
0.013 |
0.004 |
0.009 |
Rural |
|
|
|
|
10-14 |
— |
— |
0.007 |
0.007 |
15-19 |
— |
— |
0.125 |
0.125 |
20-24 |
— |
— |
0.285 |
0.284 |
25-29 |
— |
— |
0.344 |
0.343 |
30-34 |
— |
— |
0.286 |
0.286 |
35-39 |
— |
— |
0.199 |
0.198 |
40-44 |
— |
— |
0.142 |
0.142 |
45-49 |
— |
— |
0.026 |
0.026 |
50-54 |
— |
— |
0.008 |
0.008 |
NOTE: —, not applicable |
TABLE B-3 Age-Specific Fertility Rates, Diourbel, 1988 Census
|
Department |
|||
Age Group |
Bambey |
Diourbel |
Mbacké |
Region |
Total |
|
|
|
|
10-14 |
0.015 |
0.015 |
0.013 |
0.014 |
15-19 |
0.159 |
0.150 |
0.147 |
0.152 |
20-24 |
0.263 |
0.268 |
0.259 |
0.263 |
25-29 |
0.270 |
0.281 |
0.265 |
0.271 |
30-34 |
0.218 |
0.231 |
0.231 |
0.227 |
35-39 |
0.127 |
0.141 |
0.136 |
0.135 |
40-44 |
0.054 |
0.060 |
0.057 |
0.057 |
45-49 |
0.025 |
0.025 |
0.025 |
0.025 |
50-54 |
0.020 |
0.006 |
0.012 |
0.013 |
Urban |
|
|
|
|
10-14 |
0.010 |
0.009 |
0.006 |
0.008 |
15-19 |
0.084 |
0.098 |
0.102 |
0.098 |
20-24 |
0.216 |
0.218 |
0.222 |
0.220 |
25-29 |
0.288 |
0.249 |
0.257 |
0.257 |
30-34 |
0.249 |
0.236 |
0.240 |
0.240 |
35-39 |
0.198 |
0.162 |
0.131 |
0.156 |
40-44 |
0.087 |
0.073 |
0.065 |
0.072 |
45-49 |
0.011 |
0.019 |
0.028 |
0.021 |
50-54 |
0.013 |
0.008 |
0.008 |
0.009 |
Rural |
|
|
|
|
10-14 |
0.016 |
0.020 |
0.014 |
0.016 |
15-19 |
0.166 |
0.191 |
0.156 |
0.167 |
20-24 |
0.266 |
0.306 |
0.266 |
0.274 |
25-29 |
0.268 |
0.301 |
0.266 |
0.274 |
30-34 |
0.214 |
0.228 |
0.228 |
0.223 |
35-39 |
0.120 |
0.126 |
0.138 |
0.129 |
40-44 |
0.050 |
0.051 |
0.056 |
0.053 |
45-49 |
0.026 |
0.029 |
0.024 |
0.026 |
50-54 |
0.021 |
0.005 |
0.013 |
0.014 |
TABLE B-4 Age-Specific Fertility Rates, Fatick, 1988 Census
|
Department |
|||
Age Group |
Fatick |
Foundiougne |
Gossas |
Region |
Total |
|
|
|
|
10-14 |
0.006 |
0.013 |
0.010 |
0.009 |
15-19 |
0.181 |
0.192 |
0.164 |
0.179 |
20-24 |
0.336 |
0.321 |
0.301 |
0.320 |
25-29 |
0.330 |
0.323 |
0.302 |
0.319 |
30-34 |
0.283 |
0.274 |
0.257 |
0.272 |
35-39 |
0.212 |
0.172 |
0.181 |
0.191 |
40-44 |
0.081 |
0.074 |
0.067 |
0.075 |
45-49 |
0.034 |
0.022 |
0.029 |
0.030 |
50-54 |
0.012 |
0.010 |
0.012 |
0.011 |
Urban |
|
|
|
|
10-14 |
0.001 |
0.004 |
0.007 |
0.004 |
15-19 |
0.063 |
0.086 |
0.122 |
0.091 |
20-24 |
0.277 |
0.281 |
0.258 |
0.271 |
25-29 |
0.304 |
0.302 |
0.290 |
0.299 |
30-34 |
0.262 |
0.287 |
0.271 |
0.272 |
35-39 |
0.211 |
0.208 |
0.209 |
0.210 |
40-44 |
0.062 |
0.078 |
0.047 |
0.059 |
45-49 |
0.030 |
0.006 |
0.023 |
0.023 |
50-54 |
0.017 |
0.007 |
0.007 |
0.011 |
Rural |
|
|
|
|
10-14 |
0.006 |
0.014 |
0.010 |
0.010 |
15-19 |
0.201 |
0.203 |
0.172 |
0.192 |
20-24 |
0.344 |
0.324 |
0.308 |
0.327 |
25-29 |
0.333 |
0.325 |
0.304 |
0.321 |
30-34 |
0.285 |
0.273 |
0.254 |
0.272 |
35-39 |
0.212 |
0.168 |
0.176 |
0.189 |
40-44 |
0.083 |
0.073 |
0.070 |
0.077 |
45-49 |
0.035 |
0.024 |
0.031 |
0.031 |
50-54 |
0.012 |
0.010 |
0.012 |
0.012 |
TABLE B-5 Age-Specific Fertility Rates, Kaolack, 1988 Census
|
Department |
||||
Age Group |
Kaffrine |
Kaolack |
Nioro du Rip |
Region |
|
Total |
|
|
|
|
|
10-14 |
0.022 |
0.013 |
0.028 |
0.020 |
|
15-19 |
0.212 |
0.141 |
0.246 |
0.194 |
|
20-24 |
0.294 |
0.246 |
0.331 |
0.285 |
|
25-29 |
0.280 |
0.264 |
0.314 |
0.283 |
|
30-34 |
0.223 |
0.221 |
0.245 |
0.227 |
|
35-39 |
0.131 |
0.154 |
0.142 |
0.142 |
|
40-44 |
0.062 |
0.059 |
0.065 |
0.062 |
|
45-49 |
0.024 |
0.023 |
0.021 |
0.023 |
|
50-54 |
0.013 |
0.012 |
0.014 |
0.013 |
|
Urban |
|
|
|
|
|
10-14 |
0.018 |
0.007 |
0.001 |
0.008 |
|
15-19 |
0.139 |
0.083 |
0.095 |
0.089 |
|
20-24 |
0.281 |
0.202 |
0.271 |
0.212 |
|
25-29 |
0.236 |
0.249 |
0.253 |
0.248 |
|
30-34 |
0.230 |
0.212 |
0.222 |
0.215 |
|
35-39 |
0.113 |
0.169 |
0.172 |
0.163 |
|
40-44 |
0.040 |
0.062 |
0.084 |
0.062 |
|
45-49 |
0.020 |
0.025 |
0.030 |
0.025 |
|
50-54 |
0.005 |
0.013 |
0.006 |
0.011 |
|
Rural |
|
|
|
|
|
10-14 |
0.023 |
0.020 |
0.030 |
0.024 |
|
15-19 |
0.216 |
0.212 |
0.255 |
0.227 |
|
20-24 |
0.295 |
0.305 |
0.335 |
0.308 |
|
25-29 |
0.282 |
0.280 |
0.317 |
0.292 |
|
30-34 |
0.223 |
0.231 |
0.246 |
0.231 |
|
35-39 |
0.133 |
0.136 |
0.140 |
0.136 |
|
40-44 |
0.063 |
0.056 |
0.063 |
0.061 |
|
45-49 |
0.024 |
0.021 |
0.021 |
0.023 |
|
50-54 |
0.013 |
0.011 |
0.015 |
0.013 |
TABLE B-6 Age-Specific Fertility Rates, Kolda, 1988 Census
|
Department |
|||
Age Group |
Kolda |
Sédhiou |
Vélingara |
Region |
Total |
|
|
|
|
10-14 |
0.021 |
0.019 |
0.024 |
0.020 |
15-19 |
0.237 |
0.226 |
0.245 |
0.234 |
20-24 |
0.318 |
0.302 |
0.306 |
0.309 |
25-29 |
0.283 |
0.270 |
0.283 |
0.278 |
30-34 |
0.221 |
0.218 |
0.225 |
0.221 |
35-39 |
0.135 |
0.132 |
0.131 |
0.133 |
40-44 |
0.066 |
0.066 |
0.061 |
0.065 |
45-49 |
0.024 |
0.029 |
0.024 |
0.027 |
50-54 |
0.016 |
0.011 |
0.008 |
0.012 |
Urban |
|
|
|
|
10-14 |
0.015 |
0.008 |
0.006 |
0.012 |
15-19 |
0.151 |
0.096 |
0.204 |
0.151 |
20-24 |
0.287 |
0.320 |
0.302 |
0.298 |
25-29 |
0.300 |
0.293 |
0.322 |
0.305 |
30-34 |
0.251 |
0.231 |
0.260 |
0.250 |
35-39 |
0.168 |
0.186 |
0.158 |
0.171 |
40-44 |
0.060 |
0.103 |
0.078 |
0.073 |
45-49 |
0.022 |
0.06 |
0.021 |
0.030 |
50-54 |
0.018 |
0.007 |
0.006 |
0.013 |
Rural |
|
|
|
|
10-14 |
0.023 |
0.019 |
0.026 |
0.022 |
15-19 |
0.256 |
0.232 |
0.250 |
0.243 |
20-24 |
0.325 |
0.301 |
0.306 |
0.310 |
25-29 |
0.280 |
0.269 |
0.279 |
0.275 |
30-34 |
0.213 |
0.217 |
0.220 |
0.217 |
35-39 |
0.127 |
0.129 |
0.128 |
0.128 |
40-44 |
0.068 |
0.064 |
0.059 |
0.064 |
45-49 |
0.024 |
0.028 |
0.024 |
0.026 |
50-54 |
0.016 |
0.011 |
0.009 |
0.012 |
TABLE B-7 Age-Specific Fertility Rates, Louga, 1988 Census
|
Department |
|||
Age Group |
Kébémer |
Linguère |
Louga |
Region |
Total |
|
|
|
|
10-14 |
0.013 |
0.018 |
0.012 |
0.014 |
15-19 |
0.155 |
0.196 |
0.133 |
0.157 |
20-24 |
0.259 |
0.275 |
0.254 |
0.261 |
25-29 |
0.251 |
0.278 |
0.278 |
0.269 |
30-34 |
0.203 |
0.241 |
0.259 |
0.235 |
35-39 |
0.107 |
0.141 |
0.157 |
0.136 |
40-44 |
0.053 |
0.071 |
0.071 |
0.065 |
45-49 |
0.018 |
0.023 |
0.023 |
0.022 |
50-54 |
0.009 |
0.015 |
0.016 |
0.013 |
Urban |
|
|
|
|
10-14 |
0.002 |
0.004 |
0.006 |
0.005 |
15-19 |
0.065 |
0.107 |
0.078 |
0.080 |
20-24 |
0.204 |
0.238 |
0.218 |
0.220 |
25-29 |
0.259 |
0.285 |
0.289 |
0.285 |
30-34 |
0.213 |
0.265 |
0.282 |
0.271 |
35-39 |
0.138 |
0.178 |
0.201 |
0.190 |
40-44 |
0.053 |
0.074 |
0.086 |
0.080 |
45-49 |
0.007 |
0.021 |
0.025 |
0.022 |
50-54 |
0.000 |
0.007 |
0.012 |
0.010 |
Rural |
|
|
|
|
10-14 |
0.015 |
0.019 |
0.015 |
0.016 |
15-19 |
0.162 |
0.204 |
0.155 |
0.172 |
20-24 |
0.263 |
0.278 |
0.270 |
0.270 |
25-29 |
0.251 |
0.277 |
0.274 |
0.266 |
30-34 |
0.202 |
0.238 |
0.247 |
0.228 |
35-39 |
0.106 |
0.138 |
0.141 |
0.127 |
40-44 |
0.053 |
0.070 |
0.065 |
0.062 |
45-49 |
0.019 |
0.023 |
0.023 |
0.021 |
50-54 |
0.010 |
0.016 |
0.017 |
0.014 |
TABLE B-8 Age-Specific Fertility Rates, Saint-Louis, 1988 Census
|
Department |
|||
Age Group |
Dagana |
Matam |
Podor |
Region |
Total |
|
|
|
|
10-14 |
0.007 |
0.012 |
0.014 |
0.011 |
15-19 |
0.112 |
0.144 |
0.163 |
0.136 |
20-24 |
0.245 |
0.257 |
0.277 |
0.256 |
25-29 |
0.284 |
0.273 |
0.293 |
0.282 |
30-34 |
0.270 |
0.237 |
0.263 |
0.258 |
35-39 |
0.209 |
0.149 |
0.197 |
0.184 |
40-44 |
0.107 |
0.079 |
0.091 |
0.093 |
45-49 |
0.029 |
0.030 |
0.032 |
0.030 |
50-54 |
0.009 |
0.014 |
0.013 |
0.011 |
Urban |
|
|
|
|
10-14 |
0.003 |
0.003 |
0.002 |
0.003 |
15-19 |
0.071 |
0.084 |
0.074 |
0.072 |
20-24 |
0.230 |
0.237 |
0.208 |
0.230 |
25-29 |
0.277 |
0.226 |
0.208 |
0.272 |
30-34 |
0.269 |
0.209 |
0.220 |
0.264 |
35-39 |
0.217 |
0.131 |
0.216 |
0.212 |
40-44 |
0.106 |
0.042 |
0.099 |
0.101 |
45-49 |
0.023 |
0.023 |
0.032 |
0.024 |
50-54 |
0.008 |
0.000 |
0.017 |
0.008 |
Rural |
|
|
|
|
10-14 |
0.013 |
0.013 |
0.015 |
0.014 |
15-19 |
0.167 |
0.146 |
0.168 |
0.158 |
20-24 |
0.268 |
0.258 |
0.281 |
0.268 |
25-29 |
0.292 |
0.275 |
0.297 |
0.286 |
30-34 |
0.272 |
0.238 |
0.264 |
0.255 |
35-39 |
0.199 |
0.150 |
0.196 |
0.176 |
40-44 |
0.109 |
0.080 |
0.090 |
0.090 |
45-49 |
0.034 |
0.030 |
0.032 |
0.032 |
50-54 |
0.009 |
0.014 |
0.012 |
0.012 |
TABLE B-9 Age-Specific Fertility Rates, Tambacounda, 1988 Census
|
Department |
|||
Age Group |
Bakel |
Kédougou |
Tambacounda |
Region |
Total |
|
|
|
|
10-14 |
0.023 |
0.014 |
0.025 |
0.022 |
15-19 |
0.202 |
0.197 |
0.229 |
0.215 |
20-24 |
0.278 |
0.252 |
0.296 |
0.282 |
25-29 |
0.260 |
0.226 |
0.275 |
0.261 |
30-34 |
0.230 |
0.149 |
0.234 |
0.215 |
35-39 |
0.151 |
0.108 |
0.125 |
0.129 |
40-44 |
0.071 |
0.044 |
0.055 |
0.058 |
45-49 |
0.031 |
0.015 |
0.027 |
0.026 |
50-54 |
0.015 |
0.012 |
0.014 |
0.014 |
Urban |
|
|
|
|
10-14 |
0.002 |
0.003 |
0.010 |
0.008 |
15-19 |
0.144 |
0.139 |
0.154 |
0.151 |
20-24 |
0.264 |
0.241 |
0.283 |
0.273 |
25-29 |
0.240 |
0.254 |
0.302 |
0.287 |
30-34 |
0.300 |
0.174 |
0.285 |
0.267 |
35-39 |
0.141 |
0.131 |
0.150 |
0.145 |
40-44 |
0.084 |
0.076 |
0.071 |
0.075 |
45-49 |
0.020 |
0.015 |
0.016 |
0.017 |
50-54 |
0.000 |
0.009 |
0.020 |
0.014 |
Rural |
|
|
|
|
10-14 |
0.024 |
0.017 |
0.029 |
0.025 |
15-19 |
0.206 |
0.207 |
0.248 |
0.226 |
20-24 |
0.279 |
0.254 |
0.300 |
0.284 |
25-29 |
0.261 |
0.222 |
0.269 |
0.257 |
30-34 |
0.224 |
0.145 |
0.219 |
0.205 |
35-39 |
0.152 |
0.104 |
0.119 |
0.127 |
40-44 |
0.069 |
0.036 |
0.050 |
0.054 |
45-49 |
0.032 |
0.015 |
0.030 |
0.027 |
50-54 |
0.016 |
0.013 |
0.012 |
0.014 |
TABLE B-10 Age-Specific Fertility Rates, Thiès, 1988 Census
|
Department |
|||
Age Group |
Mbour |
Thiès |
Tivaouane |
Region |
Total |
|
|
|
|
10-14 |
0.008 |
0.007 |
0.009 |
0.008 |
15-19 |
0.123 |
0.097 |
0.141 |
0.118 |
20-24 |
0.287 |
0.235 |
0.274 |
0.261 |
25-29 |
0.308 |
0.279 |
0.288 |
0.290 |
30-34 |
0.285 |
0.264 |
0.261 |
0.269 |
35-39 |
0.199 |
0.195 |
0.163 |
0.186 |
40-44 |
0.099 |
0.095 |
0.078 |
0.091 |
45-49 |
0.031 |
0.024 |
0.027 |
0.027 |
50-54 |
0.009 |
0.009 |
0.011 |
0.010 |
Urban |
|
|
|
|
10-14 |
0.006 |
0.003 |
0.004 |
0.004 |
15-19 |
0.086 |
0.062 |
0.061 |
0.069 |
20-24 |
0.247 |
0.195 |
0.214 |
0.212 |
25-29 |
0.289 |
0.245 |
0.253 |
0.260 |
30-34 |
0.271 |
0.249 |
0.271 |
0.259 |
35-39 |
0.199 |
0.187 |
0.188 |
0.191 |
40-44 |
0.092 |
0.093 |
0.076 |
0.091 |
45-49 |
0.030 |
0.023 |
0.025 |
0.026 |
50-54 |
0.008 |
0.007 |
0.012 |
0.008 |
Rural |
|
|
|
|
10-14 |
0.009 |
0.011 |
0.011 |
0.010 |
15-19 |
0.148 |
0.148 |
0.156 |
0.152 |
20-24 |
0.311 |
0.288 |
0.284 |
0.293 |
25-29 |
0.319 |
0.314 |
0.293 |
0.306 |
30-34 |
0.292 |
0.281 |
0.259 |
0.275 |
35-39 |
0.198 |
0.202 |
0.159 |
0.183 |
40-44 |
0.102 |
0.098 |
0.078 |
0.091 |
45-49 |
0.031 |
0.025 |
0.028 |
0.028 |
50-54 |
0.009 |
0.012 |
0.011 |
0.011 |
TABLE B-11 Age-Specific Fertility Rates, Ziguinchor, 1988 Census
|
Department |
|||
Age Group |
Bignona |
Oussouye |
Ziguinchor |
Region |
Total |
|
|
|
|
10-14 |
0.010 |
0.008 |
0.008 |
0.009 |
15-19 |
0.183 |
0.157 |
0.128 |
0.152 |
20-24 |
0.328 |
0.355 |
0.270 |
0.300 |
25-29 |
0.307 |
0.354 |
0.309 |
0.312 |
30-34 |
0.286 |
0.288 |
0.269 |
0.278 |
35-39 |
0.185 |
0.221 |
0.185 |
0.188 |
40-44 |
0.104 |
0.101 |
0.080 |
0.093 |
45-49 |
0.042 |
0.040 |
0.032 |
0.038 |
50-54 |
0.022 |
0.011 |
0.014 |
0.018 |
Urban |
|
|
|
|
10-14 |
0.005 |
0.004 |
0.007 |
0.007 |
15-19 |
0.108 |
0.058 |
0.117 |
0.109 |
20-24 |
0.245 |
0.403 |
0.261 |
0.249 |
25-29 |
0.247 |
0.307 |
0.302 |
0.281 |
30-34 |
0.211 |
0.237 |
0.269 |
0.248 |
35-39 |
0.148 |
0.184 |
0.187 |
0.172 |
40-44 |
0.083 |
0.039 |
0.067 |
0.066 |
45-49 |
0.026 |
0.000 |
0.031 |
0.028 |
50-54 |
0.007 |
0.000 |
0.012 |
0.010 |
Rural |
|
|
|
|
10-14 |
0.011 |
0.009 |
0.012 |
0.011 |
15-19 |
0.200 |
0.180 |
0.197 |
0.198 |
20-24 |
0.343 |
0.347 |
0.351 |
0.346 |
25-29 |
0.316 |
0.361 |
0.372 |
0.335 |
30-34 |
0.299 |
0.295 |
0.308 |
0.301 |
35-39 |
0.190 |
0.225 |
0.204 |
0.198 |
40-44 |
0.107 |
0.107 |
0.121 |
0.110 |
45-49 |
0.044 |
0.044 |
0.038 |
0.042 |
50-54 |
0.023 |
0.012 |
0.018 |
0.021 |