Kenya Country Health Profile


Kenya Country Health Profile

Kenya Country Health Statistics Profile

*** EXECUTIVE SUMMARY: Country Health Profile on KENYA ***

This is one of a series of Country Health Profiles produced by the Center for International Health Information (CIHI). Each profile contains descriptive information and tables on the country's health and demographic characteristics, health indicators and trends, and when available, the health care system. Profile information is compiled from CIHI's databases and reference library, as well as through research and analysis of other data sources and reports.

The profiles are intended to provide current and trend data in a concise format to policy makers, consultants, evaluation teams, and other interested individuals and organizations. These documents are not intended to provide a comprehensive description of the total health sector of a country. Contact CIHI at the address below for information on the availability of other health profiles and standard reports.

The profiles have traditionally been prepared in hard copy, a format which allows the inclusion of graphs, charts, and graphics. (This format is included as an attachment and may be downloaded, or a hard copy may be requested from CIHI.) The INTERNET presentation of the profiles attempts to effectively convey the same or similar information without the graphic presentation of data.

The process is viewed as a pilot test to develop effective presentation of the profile contents in a format compatible to INTERNET. CIHI is currently requesting any feedback on the content and/or presentation of this profile. In addition, to report the most current health and demographic data, CIHI would appreciate receiving any more recent, accurate, or inclusive information. Contact the Center at one of the addresses below. In responding, please provide the following information: name or organization, e-mail/U.S. mail address, phone number, occupation, field of interest, reason for pursuing the profile, and general or specific comments on content, format, etc. All feedback is greatly appreciated.

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Center for International Health Information (CIHI)
E-mail address: cihi@gaia.info.usaid.gov
U.S. Mail address: 1601 N. Kent St., Suite 1001,
Arlington,VA 22209, U.S.A.
Phone: 703/524-5225 FAX: 703/243-4669
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The Center for International Health Information (CIHI), a project
managed by Information Management Consultants, Inc. (IMC),
prepared this document under the Data for Decision Making
Project, 936-5991.05 (CIHI-II), contract number HRN-5991-C-003041-
00, with the Office of Health and Nutrition, Bureau for Global
Programs, Field Support and Research, U.S. Agency for
International Development (USAID).
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*** Country Health Profile: KENYA ***

Health Statistics Report

Table of Contents
February 1995

I: Health & Demographic Overview
Current Demographic and Health Indicators
Trends in Selected Demographic and Health Indicators
Population Estimates
Trends in Selected Health and Child Survival Indicators
Vaccination Coverage Rates
ORS Access, ORS and/or RHF Use Rates
Contraceptive Prevalence Rate
Access to Potable Water
Access to Adequate Sanitation
Comparative Indicators
Comparative IMR Rates
Comparative Vaccination Coverage Rates
Comparative ORS Access, ORS and/or RHF Use Rates

II: Data Notes

III: Sources ***


*** *** *** *** *** *** NOTE on SOURCES *** *** *** *** *** ***

Sources in this profile are referred to by a seven-digit code.
Generally, the first three letters refer to an organization,
agency, etc., and the first two numbers indicate the year of the
publication or other source document. A complete list of sources
appears at the end of the profile.

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I. A. Current Demographic and Health Indicators: KENYA

FEBRUARY, 1995

DEMOGRAPHIC INDICATORS VALUE YEAR SOURCE
Total Population 26,165,000 1993 UNP9200
Urban Population 6,851,400 1993 UNP9200
Women Ages 15-49 5,713,800 1993 UNP9200
Infant Mortality Rate 62 1991 DHS9406
Under 5 Mortality 96 1991 DHS9406
Maternal Mortality 657 1987 WHM9110
Life Expectancy At Birth 59 1993 UNP9200
Number Of Births 936,707 1993 CALXX01
Annual Infant Deaths 57,795 1993 CALXX01
Total Fertility Rate 5.2 1993 DHS9406

CHILD SURVIVAL INDICATORS VALUE YEAR SOURCE
BCG 96 1993 DHS9406
DPT 3 87 1993 DHS9406
Measles 84 1993 DHS9406
Polio 3 87 1993 DHS9406
Tetanus 2 52 1993 DHS9406
DPT Drop Out 9 1993 DHS9406
ORS Access Rate 65 1991 WHD9201
ORT Use Rate 69 1991 WHD9201
Modern Methods (15-44) 28 1993 DHS9406
All Methods (15-44) 33 1993 DHS9406
Adequate Nutritional Status 84 1993 DHS9406
Appropriate Infant Feeding 71 1993 DHS9406
Exclusive Breastfeeding 17 1993 DHS9406
Complementary Feeding 90 1993 DHS9406
Continued Breastfeeding 91 1993 DHS9406

OTHER HEALTH INDICATORS VALUE YEAR SOURCE
HIV-Urban 15 1991 BUC9200
HIV-Rural 6 1992 BUC9301
Access to potable water/Urban 74 1991 JMP9301
Access to potable water/Rural 43 1991 JMP9301
Access to sanitation/Urban 69 1991 JMP9301
Access to sanitation/Rural 35 1991 JMP9301
Deliveries/Trained Attendants 54 1993 DHS9406
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I. B. Trends in Selected Demographic and Health Indicators:
KENYA

FEBRUARY, 1995

UNDER CRUDE CRUDE AVG ANNUAL TOTAL
INFANT FIVE BIRTH DEATH GROWTH FERTILITY
MORTALITY MORTALITY RATE RATE RATE RATE
1950 146 246 53 26.2 2.7 7.4
1955 127 215 53 24.4 2.9 7.7
1960 113 188 53 22.5 3.0 8.0
1965 103 169 53 20.4 3.2 8.1
1970 94 152 53 18.3 3.4 8.1
1975 85 136 53 16.4 3.7 8.1
1980 77 122 51 14.3 3.7 7.8
1985 70 109 47 12.5 3.5 7.1
1990 63 97 45 11.7 3.5 6.5
1995 57 86 44 11.8 3.2 6.0
2000 49 73 42 11.3 2.9 5.5
SOURCE CALXX03 CALXX03 UNP9400 UNP9400 UNP9400 UNP9400
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I. C. Population Estimates: KENYA

FEBRUARY, 1995

YEAR VALUE SOURCE
1950 6,265,000 UNP9400
1955 7,190,000 UNP9400
1960 8,332,000 UNP9400
1965 9,749,000 UNP9400
1970 11,498,000 UNP9400
1975 13,741,000 UNP9400
1980 16,632,000 UNP9400
1985 19,880,000 UNP9400
1990 23,613,000 UNP9400
1995 28,261,000 UNP9400
2000 32,577,000 UNP9400

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I. D. BCG Vaccination Coverage: KENYA

FEBRUARY, 1995

BCG VACCINATION COVERAGE

YEAR PERCENT SOURCE
1980 -
1981 -
1982 -
1983 76 WHE8700
1984 -
1985 82 WHE8701
1986 80 WHE8701
1987 86 WHE8800
1988 -
1989 93 DHS8906
1990 80 WHE9100
1991 -
1992 93 WHE9301
1993 96 DHS9406

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I. E. DPT 3 Vaccination Coverage: KENYA

FEBRUARY, 1995

DPT 3 VACCINATION COVERAGE

YEAR PERCENT SOURCE
1980 -
1981 -
1982 -
1983 58 WHE8700
1984 -
1985 70 WHE8701
1986 72 WHE8701
1987 75 WHE8800
1988 -
1989 82 DHS8906
1990 74 WHE9100
1991 36 WHE9202
1992 86 WHE9301
1993 87 DHS9406

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I. F. Measles Vaccination Coverage: KENYA

FEBRUARY, 1995

MEASLES VACCINATION COVERAGE

YEAR PERCENT SOURCE
1980 -
1981 -
1982 -
1983 55 WHE8700
1984 -
1985 63 WHE8701
1986 65 WHE8701
1987 60 WHE8800
1988 -
1989 72 DHS8906
1990 59 WHE9100
1991 36 WHE9202
1992 81 WHE9301
1993 84 DHS9406

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I. G. Polio 3 Vaccination Coverage: KENYA

FEBRUARY, 1995

POLIO 3 VACCINATION COVERAGE

YEAR PERCENT SOURCE
1980 -
1981 -
1982 -
1983 57 WHE8700
1984 -
1985 70 WHE8701
1986 72 WHE8701
1987 75 WHE8800
1988 -
1989 82 DHS8906
1990 71 WHE9100
1991 42 WHE9202
1992 85 WHE9301
1993 87 DHS9406

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I. H. Tetanus 2 Vaccination Coverage: KENYA

FEBRUARY, 1995

TETANUS 2 VACCINATION COVERAGE

YEAR PERCENT SOURCE
1980 -
1981 -
1982 -
1983 -
1984 -
1985 40 WHE8701
1986 -
1987 37 WHE9200
1988 -
1989 25 MRF9002
1990 -
1991 38 WHE9202
1992 -
1993 52 DHS9406
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I. I. ORS Access, ORS and/or RHF Use Rates: KENYA

FEBRUARY, 1995

ORS ORT/RHF
YEAR ACCESS SOURCE USE SOURCE
1983 - -
1984 - -
1985 40 WHD8700 3 WHD8700
1986 - 23 WHD8800
1987 93 WHD8900 76 WHD8900
1988 74 WHD9000 54 WHD9001
1989 63 WHD9100 63 DHS8906
1990 - -
1991 65 WHD9201 69 WHD9201
1992 - -
1993 - -
1994 - -
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I. J. Contraceptive Prevalence Rate: KENYA

FEBRUARY, 1995

MODERN ALL
YEAR METHODS SOURCE METHODS SOURCE
1980 - -
1981 - -
1982 - -
1983 - -
1984 10 BUC9401 -
1985 - -
1986 - -
1987 - -
1988 - -
1989 18 DHS8906 27 DHS8906
1990 - -
1991 - -
1992 - -
1993 28 DHS9406 33 DHS9406
1994 - -
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I. K. Access to Potable Water: KENYA

FEBRUARY, 1995

YEAR RURAL SOURCE URBAN SOURCE
1980 15 AID9012 85 AID9012
1981 - -
1982 - -
1983 21 WHO9101 21 WHO9101
1984 - -
1985 - -
1986 - -
1987 - -
1988 21 AID9012 61 AID9012
1989 - -
1990 - -
1991 43 JMP9301 74 JMP9301
1992 - -
1993 - -
1994 - -
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I. L. Access to Adequate Sanitation: KENYA

FEBRUARY, 1995

YEAR RURAL SOURCE URBAN SOURCE
1980 19 AID9012 89 AID9012
1981 - -
1982 - -
1983 - 75 WHO9101
1984 - -
1985 - -
1986 - -
1987 - -
1988 25 AID9012 40 AID9012
1989 - -
1990 - -
1991 35 JMP9301 69 JMP9301
1992 - -
1993 - -
1994 - -
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I. M. Comparative Infant Mortality Rates: KENYA

FEBRUARY, 1995
COUNTRY 1950 SOURCE 1993 SOURCE
KENYA 146 CALXX03 59 CALXX03
ETHIOPIA 177 BUC9302 109 BUC9302
TANZANIA 157 WBK9302 98 WBK9302
UGANDA 158 CALXX03 96 CALXX03
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I. N. Cross Country Comparisons
Vaccination Coverage Rates: KENYA

FEBRUARY, 1995

COUNTRY INDICATOR YEAR VALUE SOURCE
KENYA BCG 1993 96 DHS9406
DPT 3 1993 87 DHS9406
Measles 1993 84 DHS9406
Polio 3 1993 87 DHS9406
Tetanus 2 1993 52 DHS9406
ETHIOPIA BCG 1993 46 WHE9403
DPT 3 1993 28 WHE9403
Measles 1993 22 WHE9403
Polio 3 1993 28 WHE9403
Tetanus 2 1993 13 WHE9403
TANZANIA BCG 1993 90 WHE9403
DPT 3 1993 77 WHE9403
Measles 1993 77 WHE9403
Polio 3 1993 78 WHE9403
Tetanus 2 1993 72 WHE9403
UGANDA BCG 1992 98 WHE9301
DPT 3 1992 71 WHE9301
Measles 1992 68 WHE9301
Polio 3 1992 70 WHE9301
Tetanus 2 1992 83 WHE9301
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I. O. Cross Country Comparisons
ORS Access, ORS and/or RHF Use Rates: KENYA

FEBRUARY, 1995

COUNTRY INDICATOR YEAR VALUE SOURCE
KENYA ORS Access Rate 1991 65 WHD9201
ORT Use Rate 1991 69 WHD9201
ETHIOPIA ORS Access Rate 1993 50 WHD9401
ORT Use Rate 1993 68 WHD9401
TANZANIA ORS Access Rate 1991 75 WHD9201
ORT Use Rate 1991 66 DHS9302
UGANDA ORS Access Rate 1993 68 WHD9401
ORT Use Rate 1993 45 WHD9401

II. Data Notes: All profiles
February 1995

NOTES ON MORTALITY ESTIMATION

Throughout this profile, references are made to infant and under 5 mortality rates for individual countries or groups of countries. In past years, the primary source of data on infant mortality was the World Population Prospects, a set of estimates updated every two years by the Estimates and Projections Section of the Population Division of the Department of International Economic and Social Affairs, United Nations. The primary source of data on under 5 mortality was a special report published in 1988 by the same group. Where another source, such as a recent Demographic and Health Survey or a national census, was available for a given country, the reported values from that source were cited in place of the United Nations estimates if the technical staff of USAID in the Country Mission and/or the appropriate regional bureaus confirmed the validity of the alternative source.

Known as indirect estimates, those of the United Nations are generated from accepted demographic models which combine the results of all available surveys and censuses in a given country to produce a single time series of estimates and projections. When new empirical data becomes available for a given country, the entire time series of estimates and projections is updated. Thus, using conventional demographic approaches, a survey done in 1990 may generate a new estimate of a mortality rate for 1970 or 1980.

During 1993, a new set of estimates for mortality was generated for 82 countries for publication in the "World Development Report 1993" and a forthcoming UNICEF publication entitled "The Progress of Nations." Based on a curve-fitting model, the methodology applied to generate these new estimates purports to depict more accurately the trend derived from all available data sources for a country. Like the estimates generated using conventional demographic models, the entire time series might change upon the addition of a new empirical source. These estimates were made available to USAID through the courtesy of the "World Development Report" of the World Bank and UNICEF. The selection of the mortality rates was done through a consultative process involving representatives of the Office of Health in USAID s Research and Development Bureau, USAID's Regional Bureaus and, in many cases, the USAID Country Missions. The source determined to best reflect the reality in a country for the current values of infant and under 5 mortality was identified and one of a number of a computation procedures, depending on the source selected for the current value, was applied to estimate the longitudinal rates. The consideration of the additional source of data developed for the "World Development Report" and UNICEF during the consultative process has prompted some changes in the reporting of mortality rates from those reported in recent years.

DEFINITIONS

DEMOGRAPHIC INDICATORS

Total Population: The mid-year estimate of the total number of individuals in a country.

Average Annual Rate of Growth: An estimate of the rate at which a population is increasing (or decreasing) in a given year.

Infant Mortality Rate: The estimated number of deaths in infants (children under age one) in a given year per 1,000 live births in that same year. This rate may be calculated by direct methods (counting births and deaths) or by indirect methods (applying well-established demographic models).

Under 5 Mortality Rate: The estimated number of children born in a given year who will die before reaching age five per thousand live births in that same year. This rate may also be calculated by direct or indirect methods.

Maternal Mortality Ratio: The estimated number of maternal deaths per 100,000 live births where a maternal death is one which occurs when a woman is pregnant or within 42 days of termination of pregnancy from any cause related to or aggravated by the pregnancy or its management. Although sometimes referred to as a rate, this measure is actually a ratio because the unit of measurement of the numerator (maternal deaths) is different than that of the denominator (live births). The measure would be a rate if the units were the same. Extremely difficult to measure, maternal mortality can be derived from vital registration systems (usually underestimated), community studies and surveys (requires very large sample sizes) or hospital registration (usually overestimated).

Crude Birth Rate: An estimate of the number of live births per 1,000 population in a given year.

Crude Death Rate: An estimate of the number of deaths per 1,000 population in a given year.

Life Expectancy At Birth: An estimate of the average number of years a newborn can expect to live. Life expectancy is computed from age-specific death rates for a given year. It should be noted that low life expectancies in developing countries are, in large part, due to high infant mortality.

Number of Births: An estimate of the number of births occurring in a given year.

Annual Infant Deaths: An estimate of the number of deaths occurring to children under age one in a given year.

Total Fertility Rate: An estimate of the average number of children a woman would bear during her lifetime given current age- specific fertility rates.

CHILD SURVIVAL INDICATORS

Vaccination Coverage In Children: An estimate of the proportion of living children between the ages of 12 and 23 months who have been vaccinated before their first birthday -- three times in the cases of polio and DPT and once for both measles and BCG. Vaccination coverage rates are calculated in two ways. Administrative estimates are based on reports of the number of inoculations of an antigen given during a year to children who have not yet reached their first birthday divided by an estimate of the pool of children under one year of age eligible for vaccination. Survey estimates are based on samples of children between the ages of 12 and 23 months.

Vaccination Coverage In Mothers: An estimate of the proportion of women in a given time period who have received two doses of tetanus toxoid during their pregnancies. This indicator is being changed in many countries to account for the cumulative effect of tetanus toxoid boosters. A woman and her baby are protected against tetanus when a mother has had only one or, perhaps, no boosters during a given pregnancy so long as the woman had received the appropriate number of boosters in the years preceding the pregnancy in question. (The appropriate number of boosters required during any given pregnancy varies with number received previously and the time elapsed.) The revised indicator is referred to as TT2+. Rates are computed using administrative methods or surveys.

DPT Drop-out Rate: An estimate of the proportion of living children between the ages of 12 and 23 months who received at least one DPT vaccination but who did not receive the entire series of three vaccinations before their first birthdays.

Oral Rehydration Salts (ORS) Access Rate: An estimate of the proportion of the population under age five with reasonable access to a trained provider of oral rehydration salts who receives adequate supplies. This is a particularly difficult indicator to measure and, therefore, it may fluctuate dramatically from year to year as improved methods of estimation are devised.

ORS and/or Recommended Home Fluid (RHF) Use Rate: An estimate of the proportion of all cases of diarrhea in children under age five treated with ORS and/or a recommended home fluid. ORT use may be determined using administrative means or surveys. In general, administrative estimates are based on estimates of the number of episodes of diarrhea in the target population for a given year and the quantity of ORS available. Thus, changes in the estimates of the frequency of diarrhea episodes can alter the ORT use rate as well as real changes in the pattern of use. Surveys are more precise in that they focus on the actual behavior of mothers in treating diarrhea in the two-week period prior to the survey.

Contraceptive Prevalence Rate: An estimate of the proportion of women, aged 15 through 44 (or, in some countries, 15 through 49), in union or married, currently using a modern method of contraception. Where sources fail to distinguish modern and traditional methods, the combined rate is shown.

Adequate Nutritional Status: An individual child of a certain age is said to be adequately nourished if his/her weight is greater than the weight corresponding to two Z-scores (two standard deviations) below the median weight achieved by children of that age. The median weight and the distribution of weights around that median in a healthy population are taken from a standard established by the National Center for Health Statistics, endorsed by the World Health Organization (WHO). The indicator for the population as a whole is the proportion of children 12 through 23 months of age who are adequately nourished.

Appropriate Infant Feeding: A composite estimate of the proportion of infants (children under age one) being breastfed and receiving other foods at an appropriate age according to the following criteria: breastfed through infancy with no bottle feeding, exclusively breastfed through four months (120 days) of age, and receiving other foods if over six months of age (181 days). Water is not acceptable in the first four months (120 days). ORS is considered acceptable at any age. Surveys are the only source of data to form this indicator. Surveys yield an estimate of how many infants are being fed correctly at the moment of the survey. They do not give an indication of the proportion of individual children fed appropriately throughout their first year of life. A number of sub-indicators may be calculated from the data used to form the composite, of which two are presented in this report.

Exclusive Breastfeeding: An estimate of the proportion of infants less than four months (120 days) of age who receive no foods or liquids other than breast milk.

Complementary Feeding: An estimate of the proportion of infants six to nine months of age (181 days to 299 days) still breastfeeding but also receiving complementary weaning foods.

Continued Breastfeeding: An estimate of the proportion of children breastfed for at least one year. In this report, all values presented for this indicator are the proportion of children 12 to 15 months of age at the time of the survey still receiving breast milk.

OTHER HEALTH INDICATORS

HIV-1 Seroprevalence, Urban: An estimate of the proportion of all persons (pregnant women, blood donors, and other persons with no known risk factors) living in urban areas infected with HIV-1, the most virulent and globally prevalent strain of the human immunodeficiency virus.

HIV-1 Seroprevalence, Rural: An estimate of the proportion of all persons living in rural areas infected with HIV-1.

Access to Improved Water, Urban: An estimate of the proportion of all persons living in urban areas (defined roughly as population centers of 2,000 or more persons) who live within 200 meters of a stand pipe or fountain source of water.

Access to Improved Water, Rural: An estimate of the proportion of all persons not living in urban areas with a source of water close enough to home that family members do not spend a disproportionate amount of time fetching water.

Access to Sanitation, Urban: An estimate of the proportion of all persons living in urban areas with sanitation service provided through sewer systems or individual in-house or in-compound excreta disposal facilities (latrines).

Access to Sanitation, Rural: An estimate of the proportion of all persons not living in urban areas with sanitation coverage provided through individual in-house or in-compound excreta disposal facilities (latrines).

Deliveries By Trained Attendants: An estimate of the proportion of deliveries attended by at least one physician, nurse, midwife, or trained traditional birth attendant.

III. Sources

AID9012 Water and Sanitation for Health Project, U.S. Agency for International Development. Water and Sanitation Sector Profiles of Twenty African Countries, June 1989

BUC9200 Health Studies Branch. Center for International Research. U.S. Bureau of the Census. HIV SeroprevalenceLevels, November 1992.

BUC9301 U.S. Bureau of the Census, Center for International Research. HIV/AIDS Surveillance Database. June, 1993.

BUC9302 Time series estimates of Infant Mortality generated by applying the ratio of the BUCEN estimate for 1992 to the World Population Prospects estimate for 1992 to theannual values dating back to 1950 as estimated in the World Population Prospects. Under 5 Mortality estimates are calculated by applying the appropriate Coale-Demeny model to the Infant Mortality estimates.

BUC9401 U.S. Bureau of the Census (BUCEN). International Data Base. Version dated March, 1994.

CALXX01 Calculated from the values for total population, crude birth rate and infant mortality from designated sourcesfor those variables.

CALXX03 Time series estimates of Infant Mortality generated by applying the ratio of the DHS estimate for the most current 5 year period (or IMR from other current source) to the projected value from the World Population Prospects for the same year and applying that ratio to the projected time series in the WPP. Under 5 Mortality estimates are calculated by applying

DHS8906 National Council for Population and Development, and Institute for Resource Development/Macro Systems, Inc. Kenya Demographic and Health Survey. Columbia, MD: IRD,1989.

DHS9302 Bureau of Statistics, Planning Commission and Macro International Inc. Tanzania Demographic and Health Survey 1991/92. Columbia, Maryland: Macro InternationalInc., June 1993.

DHS9406 National Council for Population and Development, Central Bureau of Statistics- Office of the Vice President and Ministry of Planning and National Development and Demographic and Health Surveys-Macro International Inc. Demographic and Health Survey, 1993. Calverton, Md.: Macro International Inc., May 1994.

JMP9301 WHO/UNICEF Joint Monitoring Programme. Water Supply and Sanitation Sector Monitoring Report 1993. Sector Status as of December 1991. WHO and UNICEF. August, 1993.

MRF9002 Ministry of Health. National Immunization Survey, 1989 as cited in the FY 1990 Mission Response Form.

UNP9200 Department of International Economic and Social Affairs, United Nations. World Population Prospects 1992. (ST/ESA/SER.A/120) New York: UN, 1992.

UNP9400 Department of International Economic and Social Affairs, United Nations. World Population Prospects 1994. (Tape) New York: UN, 1994.

WBK9302 Mortality rate time series generated from Ken Hill equations provided in a personal communication, March, 1993. The equations were developed for the World Development Report, 1993 and a UNICEF publication, The Progress of Nations.

WHD9201 Programme For Control Of Diarrhoeal Diseases. Eighth Programme Report 1990-1991. WHO/CDD/92.38. Geneva: World Health Organization, 1992.

WHD9401 Advanced Copy of Annex 1 of the WHO/CDR Annual Report, Received by facsimile, March 29, 1994.

WHE8700 World Health Organization. Expanded Programme on Immunization Information System Report, January 1987. Geneva: WHO, 1987.

WHE8701 World Health Organization. Expanded Programme on Immunization Information System Report, July 1987. Geneva: WHO, 1987.

WHE8800 World Health Organization. Expanded Programme on Immunization Information System Report, January 1988. Geneva: WHO, 1988.

WHE9100 World Health Organization. Expanded Programme on Immunization Information System Report, April 1991. (WHO/EPI/CEIS/91.1) Geneva: WHO, 1991.

WHE9200 World Health Organization. Expanded Programme on Immunization Information System Report, April 1992. (WHO/EPI/CEIS/92.1) Geneva: WHO, 1992.

WHE9202 World Health Organization. Expanded Programme on Immunization Information System Report, October 1992. (WHO/EPI/CEIS/92.2) Geneva: WHO, 1992.

WHE9301 Facsimile from WHO/EPI of the pages in the 9/93 report of the WHO EPI Information System containing the most current vaccination coverage rates. September 24, 1993

WHE9403 Download of WHO/EPI vaccination coverage files from INTERNET, August 29, 1994.

WHM9110 Boersma, J.T. and Mati, J.K.G. Identifying maternal mortality through networking: results from coastal Kenya. Studies in Family Planning 20(6): 245-253 (1989)as cited in Division of Family Health, World Health Organization. Maternal Mortality: A Global Factbook. (WHO/MCH/MSM/91.3) Geneva: World Health Organization, 1991.

WHO9101 World Health Organization. World Health Organization Disk: Water Supply and Sanitation Service Coverage. Geneva: WHO, October 29, 1991.
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