3. FERTILITY3.1 Fertility Data in the O<strong>DHS</strong>This chapter presents fertility indices describing different aspects of childbearing among womenin Ondo State. First, statistics depicting fertility levels during the period 1981-86 are presented--totalfertility rates and age-specific fertility rates. Then, statistics on the total number of children ever born arepresented by age group. <strong>Final</strong>ly, statistics on the median age at first birth are presented by age group andbackground characteristics.Data on the childbearing experience of respondents were collected in several ways. First, womenwere asked their aggregate fertility in a series of six questions: the number of sons and daughters that liveat home, the number of sons and daughters that live elsewhere and the number that had died. Second,data pertaining to specific births were collected with a truncated birth history for the six year period from1981 to the survey date (i.e., respondents were asked to report their most recent live birth and eachpreceding live birth extending back in time to the birth immediately preceding 1981). For all reportedbirths, information was obtained on month and year of birth, sex, name, survival status and, if dead, age atdeath. Third, respondents were asked the month and year of their first birth, if that birth occurred prior tothe births enumerated in the truncated birth history.The truncated birth history is an established procedure for the collection of retrospective fertilitydata. This approach is designed to provide data suitable for the estimation of fertility levels for a periodimmediately prior to a survey--in the case of the O<strong>DHS</strong>, for the period 1981-86. As with anyretrospective procedure, the truncated birth history can suffer from event underreporting (in particular, theunderreporting of children who die in early infancy) and misreporting of the dates of birth. The formerproblem is potentially serious for infant mortality estimation, while the latter problem primarily concernsfertility estimation. For example, when the truncated birth history approach is used, misreported birthdates can transfer events across the reference boundaries and bias period-specific fertility rates. In orderto limit the effect of such misreporting, fertility data should be collected for a longer retrospective periodthan that for which fertility rates are actually calculated. In the O<strong>DHS</strong>, fertility data were collected for allbirths since 1981 and for the immediately preceding birth, while estimation of fertility rates is limited tothe period since 1981.3.2 Levels, Differentials and Trends in FertilityEstimates of fertility levels are presented in terms of the total fertility rate (TFR) and the meannumber of children ever born. The "1"1~1¢. is a period fertility index which indicates the number of childrenthat a woman would have if she experienced throughout her lifetime the age-specific fertility rates of aparticular time period. The mean number of children ever born is a retrospective fertility index whichindicates the actual number of children women have had. Fertility trends can be determined bycomparing the "lrK for recent time periods with the number of children ever bom to women aged 40-49.In Table 3.1, TFRs for women up to age 45 are presented for two three-year calendar periodspreceding the survey (1981-83 and 1984-86) and one five-year period preceding the survey (which,because the fieldwork for the survey was primarily done in late 1986, approximates 1982-86). The pairof three-year estimates suggest a substantial decline in fertility from 6.3 children per woman in 1981-83to 5.6 children per woman in 1984-86; a decline of 0.7 children per woman. However, caution must beexercised in interpreting these three-year estimates. In the O<strong>DHS</strong>, interviewers were trained to probe for19
the age of the child and the season of its birth when the respondent could not report a date of birth. Thisinformation was used by the interviewer to calculate the date of birth. Respondent digit preference inreporting the age of a child could have resulted in an erroneous concentration of births in the fourth andfifth years before the survey and an erroneous appearance of a fertility decline between 1981-83 and1984-86. <strong>Final</strong> resolution of this issue is beyond the scope of this report. It is possible that the TFR didnot decline by as much as 0.7 children per woman between 1981-83 and 1984-86. In these circumstancesthe most conservative approach is to rely on the intermediate estimate of the I~R for the longer timeperiod: i.e., 6.0 for the five-year period preceding the survey.Table 3.1Total Fertility Rates for 1981-83, 1984-86, and the Five-Year Period Prior to the Survey, and Mean Number ofChildren Ever Born to Women Aged 40-49, According toBackground Characteristics, O<strong>DHS</strong>, 1986Total Fertility Rates*Mean No.of ChildrenBackground 0-4 Years Ever Born toCharacteristic 1981-83 1984-86 Before Women 40-49ResidenceUrban 5.9 5.7 5.9 6.4Rural 6.6 5.5 6.0 7.1Riverine 6.3 6.1 6.4 7.7EducationNone 6.9 6.3 6.7 7.0Primary 7.3 6.8 7.1 7.0Secondary + 5.9 5.1 5.4 6.1ReligionCatholic 6.7 6.4 6.6 7.5Protestant 6.2 5.5 5.8 6.9Muslim 6.6 6.0 6.4 6.7Other/None 8.4 3.8 6.3 6.9Total 6.3 5.6 6.0 6.9* For women aged 15-44Table 3.1 provides other evidence that fertility has declined over the last twenty years. Theretrospective measure of fertility, the number of children ever born to women aged 40-49 (6.9), exceedsthe Tt'K for the recent period (6.0). This indicates that fertility has declined about one child per womanover the last two decades. With respect to area of residence, differences between the TI-R and childrenever bom are apparent in all areas, although somewhat smaller in urban (5.9 versus 6.4) than in rural (6.0versus 7.1) and riverine areas (6.4 versus 7.7).With respect to religious affdiation, the difference between the TH, t and children ever born is lesspronounced for Muslim women (6.4 versus 6.7) than for Catholic (6.6 versus 7.5) and Protestant women(5.8 versus 6.9). It appears that fertility change in Ondo State is being experienced to about the sameextent by Catholic and Protestant women and to a much lesser extent by Muslim women. With respect to20
- Page 1 and 2: ONDO STATE, NIGERIADEMOGRAPHICANDHE
- Page 3 and 4: This report presents the findings o
- Page 5 and 6: Page4.34.44.54.64.74.8Current Use o
- Page 7 and 8: PageTable 3.3Table 3.4Table 3.5Tabl
- Page 9 and 10: PageTable 5.1Table 5.2Table 5.3Tabl
- Page 11 and 12: PageAPPENDIX A ....................
- Page 14: PREFACEThe Ondo State Demographic a
- Page 17: percent of women using each) and th
- Page 20 and 21: 1. BACKGROUND1.1 Geography and Hist
- Page 22 and 23: Although the reporting of family pl
- Page 24 and 25: Table 1.2Number of Selected Primary
- Page 26 and 27: Religion and EthnicityThe majority
- Page 28: Sources of WaterInformation was als
- Page 31 and 32: consistent with the comparable stat
- Page 33 and 34: esults must be interpreted with cau
- Page 35 and 36: Following the birth of a child, the
- Page 40 and 41: educational attainment, differences
- Page 42 and 43: distributions. The proportion with
- Page 44: Table 3.5 Percent Distribution of A
- Page 47 and 48: Table 4.1Percentage Knowing Any Met
- Page 49 and 50: Women who had heard of methods were
- Page 51 and 52: Table 4.6Percent Distribution of Al
- Page 53 and 54: Table 4.7Percent Distribution of Cu
- Page 55 and 56: 4.4 Trends in Family Planning Knowl
- Page 57 and 58: Figure 4.4Source of Family Planning
- Page 59 and 60: 4.7 Intention to Use Contraception
- Page 61 and 62: Table 4.16 presents data on wives'
- Page 63 and 64: Table 4.18Percentage of Currently M
- Page 65 and 66: Figure 5.1Fertility PreferencesCurr
- Page 67 and 68: In order to examine fertility prefe
- Page 69 and 70: Table 5.4 also indicates that less
- Page 72 and 73: 6. MORTALITY AND HEALTH6.1 Mortalit
- Page 74 and 75: Table 6.1 Infant and Child Mortalit
- Page 76 and 77: Table 6.3Mean Number of Children Ev
- Page 78 and 79: Table 6.5 • Percent Distribution
- Page 80 and 81: For the investigation of differenti
- Page 82 and 83: In considering the morbidity inform
- Page 84 and 85: Cough/Difficult BreathingThe ODHS c
- Page 86 and 87: Nutritional StatusNutritional statu
- Page 88 and 89:
Weight-for-HeightWeight-for-height
- Page 90 and 91:
Weight-for-AgeTable 6.13 shows the
- Page 92:
REFERENCESCttieh-Johnson, D., Cross
- Page 96 and 97:
APPENDIX ASURVEY DESIGNA.1 Sample D
- Page 98 and 99:
However, as shown in Table A.2, the
- Page 100 and 101:
A total of 32 field staff participa
- Page 102:
Table A.3Household Response Rate an
- Page 106 and 107:
APPENDIX BSAMPLING ERRORSThe result
- Page 108 and 109:
Table B.I List of Variables for Whi
- Page 110 and 111:
Table B.2 Sampling Errors (con't):
- Page 112 and 113:
Table B.2 Sampling Errors (con't):
- Page 114:
Table B.2 Sampling Errors (con't):
- Page 118 and 119:
MINISTRY OF HEALTH, ONDO STATE, NIG
- Page 120 and 121:
CONTINUED FROM PREVIOUS PAGENAME OF
- Page 122:
MINISTRY OF HEALTH, C, OVERNMENT OF
- Page 125 and 126:
!P............IM,RSKIPattended: pri
- Page 127 and 128:
i SECTION 2: REPRODUCTION. ISKIP201
- Page 129 and 130:
TABLE 2.1rRECORD INFORMATION STARTI
- Page 131 and 132:
SKIP230 CHECK: COMPARE NUMBER OF BI
- Page 133 and 134:
I ISECTION 3:HEALTH AND BREASTFEEDI
- Page 135 and 136:
316317CHECK ~2:LAST BIRTH ALIVE [ ]
- Page 137 and 138:
SKIP334 What was done?CIRCLECODE 1
- Page 139 and 140:
!TABLE 3.1(ASK QUESTIONS STARTING W
- Page 141 and 142:
LTABLE 3.3(ASK @UESTIONS ONLY FOR S
- Page 143 and 144:
TABLE 3.5CF. TABLE 2.1:ENTER NAME A
- Page 145 and 146:
TABLE 4: IPILL "Women can take •
- Page 147 and 148:
SKIP413CHECK 404:NO STERILIZATION [
- Page 149 and 150:
SECTIOM 5: MARRIAGE. lSKIP501 /Have
- Page 151 and 152:
SKIP520 kow we need some detmils ab
- Page 153 and 154:
SKIP606 For how long should • cou
- Page 155 and 156:
SKIP7e9CHECK 7@8:DOES/DID NOT WORKI
- Page 157:
INTERVIEWER'S OBSERVATIONS.(To be t