Nepal
Demographic and
Health Survey
2022
Key Indicators
Nepal
Demographic and Health Survey
2022
Key Indicators Report
Ministry of Health and Population
Ram Shah Path
Kathmandu, Nepal
New ERA
Kathmandu, Nepal
The DHS Program
ICF
Rockville, Maryland, USA
November 2022
Ministry of Health and Population
The 2022 Nepal Demographic and Health Survey (2022 NDHS) was implemented by New ERA under the aegis
of the Ministry of Health and Population of Nepal. The funding for the NDHS was provided by the United States
Agency for International Development (USAID). ICF provided technical assistance through The DHS Program,
a USAID-funded project providing support and technical assistance in the implementation of population and
health surveys in countries worldwide.
Additional information about the 2022 NDHS may be obtained from the Ministry of Health and Population, Ram
Shah Path, Kathmandu, Nepal; Telephone: +977-1-4262543/4262802; Internet: http://www.mohp.org.np; and
New ERA, Rudramati Marg, Kalopul, P.O. Box 722, Kathmandu 44600, Nepal; Telephone: +977-1-4413603;
Email: info@newera.com.np; Internet: http://www.newera.com.np.
Information about The DHS Program may be obtained from ICF, 530 Gaither Road, Suite 500, Rockville, MD
20850, USA; Telephone: +1-301-407-6500; Fax: +1-301-407-6501; Email: info@DHSprogram.com; Internet:
www.DHSprogram.com.
The contents of this report are the sole responsibility of the Ministry of Health and Population, New ERA, and
ICF and do not necessarily reflect the views of USAID, the United States Government, or other donor agencies.
Recommended citation:
Ministry of Health and Population, Nepal; New ERA; and ICF. 2022. Nepal Demographic and Health Survey
2022: Key Indicators Report. Kathmandu, Nepal: Ministry of Health and Population, Nepal.
iii
CONTENTS
TABLES AND FIGURES ............................................................................................................................ v
ACRONYMS AND ABBREVIATIONS ...................................................................................................vii
FOREWORD ............................................................................................................................................... ix
1 INTRODUCTION ........................................................................................................................... 1
Survey Objectives ............................................................................................................................. 1
2 SURVEY IMPLEMENTATION ................................................................................................... 3
2.1 Sample Design ..................................................................................................................... 3
2.2 Questionnaires ..................................................................................................................... 4
2.3 Anthropometry, Anemia Testing, and Blood Pressure Measurement ................................. 5
2.4 Training of Trainers and Pretest .......................................................................................... 6
2.5 Training of Field Staff ......................................................................................................... 7
2.6 Fieldwork ............................................................................................................................. 8
2.7 Data Processing ................................................................................................................... 8
3 KEY FINDINGS............................................................................................................................ 11
3.1 Response Rates .................................................................................................................. 11
3.2 Characteristics of Respondents .......................................................................................... 11
3.3 Fertility .............................................................................................................................. 13
3.4 Teenage Fertility ................................................................................................................ 14
3.5 Fertility Preferences ........................................................................................................... 16
3.6 Family Planning ................................................................................................................. 17
3.6.1 Contraceptive use ................................................................................................. 17
3.6.2 Need and demand for family planning ................................................................. 20
3.7 Early Childhood Mortality................................................................................................. 22
3.8 Maternal Care .................................................................................................................... 23
3.8.1 Antenatal care ...................................................................................................... 23
3.8.2 Tetanus toxoid ...................................................................................................... 24
3.8.3 Delivery care ........................................................................................................ 26
3.8.4 Postnatal care for the mother ............................................................................... 26
3.9 Vaccination Coverage........................................................................................................ 27
3.9.1 Basic antigen coverage ........................................................................................ 27
3.9.2 Vaccination coverage according to the national schedule ................................... 28
3.10 Careseeking and Treatment of Child Illness ...................................................................... 31
3.11 Child Nutritional Status ..................................................................................................... 32
3.12 Infant and Young Child Feeding ....................................................................................... 35
3.13 Anemia .............................................................................................................................. 36
3.13.1 Prevalence of anemia in children ......................................................................... 36
3.13.2 Prevalence of anemia in women .......................................................................... 38
3.14 HIV .................................................................................................................................... 40
3.14.1 Knowledge of HIV prevention among young people .......................................... 40
3.14.2 Prior HIV testing .................................................................................................. 42
3.15 Disability ........................................................................................................................... 45
REFERENCES............................................................................................................................................ 47
v
TABLES AND FIGURES
Table 1 Results of the household and individual interviews .......................................................... 11
Table 2 Background characteristics of respondents........................................................................ 12
Table 3 Current fertility .................................................................................................................. 14
Table 4 Teenage pregnancy ............................................................................................................ 15
Table 5 Fertility preferences according to number of living children ............................................ 16
Table 6 Current use of contraception according to background characteristics ............................. 18
Table 7 Unmet need for family planning ........................................................................................ 21
Table 8 Early childhood mortality rates ......................................................................................... 22
Table 9 Maternal care indicators .................................................................................................... 24
Table 10 Childhood vaccinations by background characteristics ..................................................... 29
Table 11 Treatment for ARI symptoms, fever, and diarrhea ............................................................ 31
Table 12 Nutritional status of children ............................................................................................. 34
Table 13 Infant and young child feeding (IYCF) indicators ............................................................. 35
Table 14 Prevalence of anemia in children ....................................................................................... 37
Table 15 Prevalence of anemia in women ........................................................................................ 39
Table 16 Knowledge of HIV prevention methods among young people.......................................... 41
Table 17.1 Coverage of prior HIV testing: Women ............................................................................ 43
Table 17.2 Coverage of prior HIV testing: Men .................................................................................. 44
Table 18 Disability by domain and age ............................................................................................ 45
Figure 1 Trends in fertility by residence .......................................................................................... 14
Figure 2 Trends in use, need, and demand for family planning ....................................................... 20
Figure 3 Trends in early childhood mortality rates .......................................................................... 23
Figure 4 Trends in delivery assistance ............................................................................................. 26
Figure 5 Trends in childhood vaccinations ...................................................................................... 28
Figure 6 Trends in nutritional status of children .............................................................................. 33
Figure 7 Trends in exclusive breastfeeding ..................................................................................... 36
vii
ACRONYMS AND ABBREVIATIONS
ANC antenatal care
ARI acute respiratory infection
ART antiretroviral therapy
ASFR age-specific fertility rate
BCG bacillus Calmette-Guérin
CAPI computer-assisted personal interviewing
CBR crude birth rate
CDC Center for Disease Control
COVID-19 coronavirus disease of 2019
CSPro Census and Survey Processing
DHS Demographic and Health Survey
DPT diphtheria, pertussis, and tetanus vaccine
GFR general fertility rate
GPS global position system
HepB hepatitis B
Hib Haemophilus influenzae type B
HIV human immunodeficiency virus
IFSS internet file streaming system
fIPV fractional inactivated poliomyelitis vaccine
IUCD intrauterine contraceptive device
IYCF infant and young child feeding
JE Japanese Encephalitis
LAM lactational amenorrhea method
MoHP Ministry of Health and Population
MR measles rubella
NDHS Nepal Demographic and Health Survey
NFHS Nepal Family Health Survey
NHSS Nepal Health Sector Strategy
NN neonatal mortality
NPC National Planning Commission
NPHC Nepal Population and Housing Census
OPV oral polio vaccine
ORS oral rehydration salts
PCV pneumococcal conjugate vaccine
PNC postnatal care
PNN postneonatal mortality
PSU primary sampling unit
viii
RT-PCR reverse transcription polymerase chain reaction
RV rotavirus vaccine
SD standard deviation
SDG Sustainable Development Goal
STI sexually transmitted infection
TFR total fertility rate
TPO Transcultural Psychosocial Organization
UNICEF United Nations Childrens Fund
USAID United States Agency for International Development
WG Washington Group
WHO World Health Organization
ix
FOREWORD
The 2022 Nepal Demographic and Health Survey (NDHS) was conducted as a periodic update of the
demographic and health information regarding the people of Nepal. The 2022 NDHS was the sixth DHS
survey conducted in Nepal in collaboration with the worldwide Demographic and Health Surveys
Program. The survey was implemented by New ERA under the aegis of the Ministry of Health and
Population (MoHP), Government of Nepal. The survey was funded by the United States Agency for
International Development (USAID), and ICF provided technical support.
The purpose of the 2022 NDHS was to generate reliable information on fertility levels, marriage, fertility
preferences, awareness and use of family planning methods, breastfeeding practices, nutrition, maternal
and child health, childhood mortality, awareness and behavior regarding HIV/AIDS and other sexually
transmitted infections (STIs), women’s empowerment and domestic violence, fistula, mental health,
accident and injury, disability, food insecurity, and other health-related issues such as smoking, knowledge
of tuberculosis, and prevalence of hypertension. Data collection for the survey was carried out from
January 5, 2022, to June 22, 2022. This report, which presents key findings from the 2022 NDHS, is
intended to provide policymakers and program managers with a first glimpse of the survey results. A more
comprehensive, detailed report is scheduled for 2023.
The MoHP wishes to acknowledge the efforts of many individuals and organizations that contributed
substantially to the success of the survey. First, we would like to express our gratitude to the Government
of the Nepal for granting permission to implement the country’s sixth DHS survey. Second, we would like
to acknowledge the financial support and assistance of USAID. We would also like to thank ICF for
technical backstopping throughout the survey.
The MoHP greatly appreciated the efforts on the part of New ERA in implementing the 2022 Nepal DHS
survey. The survey could not have been completed successfully without the dedicated staff of New ERA,
who planned, participated in, and oversaw the entire survey process. We would like to extend our gratitude
to all the field staff who undertook the vital task of carrying out data collection for the NDHS with
commitment, dedication, and hard work.
Finally, we are grateful to the survey respondents who generously gave their time to provide the
information that forms the basis of this report. Likewise, we acknowledge the support received from the
respective local authorities, whose assistance was vital to the successful implementation of the fieldwork.
.................................................
Dr. Krishna Prasad Poudel
Division Chief
Policy, Planning and Monitoring Division
Ministry of Health and Population
1
1 INTRODUCTION
The 2022 Nepal Demographic and Health Survey (NDHS) was implemented by New ERA under the aegis
of the Ministry of Health and Population (MOHP). Data collection took place from January 5 to June 22,
2022. ICF provided technical assistance through The DHS Program, which is funded by the United States
Agency for International Development (USAID) and offers financial support and technical assistance for
population and health surveys in countries worldwide. Suaahara II, USAIDs integrated nutrition activity,
1
supported the ethical review process of the survey in Nepal.
This Key Indicators Report presents a first look at selected findings from the 2022 NDHS. A
comprehensive analysis of the data will be presented in a final report in 2023.
SURVEY OBJECTIVES
The primary objective of the 2022 NDHS is to present up-to-date estimates of basic demographic and
health indicators. The NDHS provides a comprehensive overview of population, maternal, and child health
issues in Nepal. Specifically, the 2022 NDHS collected information on fertility levels, marriage, fertility
preferences, awareness and use of family planning methods, breastfeeding practices, nutrition, maternal
and child health, childhood mortality, awareness and behavior regarding HIV and other sexually
transmitted infections (STIs), womens empowerment and domestic violence, fistula, mental health,
accident and injury, disability, food insecurity, and other health-related issues such as smoking, knowledge
of tuberculosis, and prevalence of hypertension.
The information collected through the 2022 NDHS is intended to assist policymakers and program
managers in designing and evaluating programs and strategies for improving the health of Nepals
population. The 2022 NDHS also provides indicators relevant to the Nepal Health Sector Strategy 2016
22, the next health sector strategic plan under development, and the Sustainable Development Goals
(SDGs) for Nepal.
1
The Suaahara II project is a 5-year (201621) integrated program in Nepal funded by USAID, which aims to
improve the health and nutritional status of women and children who fall within the 1,000 days period, from
conception until a child reaches 24 months of age.
3
2 SURVEY IMPLEMENTATION
2.1 SAMPLE DESIGN
The sampling frame used for the 2022 NDHS is an updated version of the frame of the Nepal Population
and Housing Census (NPHC) conducted in 2011, provided by the Central Bureau of Statistics. The
smallest administrative unit in Nepal is the sub-ward. The census frame includes a complete list of Nepal’s
36,020 sub-wards. Each sub-ward has a residence type (urban or rural) and a measure of size is the number
of households.
In September 2015, Nepals Constituent Assembly declared changes in the administrative units and a re-
classification of urban and rural areas in the country. Nepal is divided into seven provinces: Province 1,
Madhesh Province, Bagmati Province, Gandaki Province, Lumbini Province, Karnali Province, and
Sudurpashchim Province. Each province is divided into districts, districts into municipalities,
municipalities into wards, and wards into sub-wards. Nepal has 77 districts, which include a total of 753
(local level) municipalities. Of the municipalities, 293 are urban and 460 are rural.
Originally, the 2011 NPHC included 58 urban municipalities. This number increased to 217 by 2015. On
March 10, 2017, structural changes were made in the classification system for urban (Nagarpalika) and
rural (Gaonpalika) locations. Nepal currently has 293 Nagarpalika, with 65% of the population living in
these urban areas. The 2022 NDHS used this updated urban-rural classification system. The 2022 NDHS
sample is a stratified sample selected in two stages. Stratification was achieved by dividing each of the
seven provinces into urban and rural areas which together formed the sampling stratum for that province.
A total of 14 sampling strata were created in this way. Implicit stratification with proportional allocation
was achieved at each of the lower administrative levels by sorting the sampling frame within each
sampling stratum before sample selection, according to administrative units in the different levels, and by
using a probability-proportional-to-size selection at the first stage of sampling. In the first stage of
sampling, 476 primary sampling units (PSUs) were selected with probability proportional to the PSU size
and with independent selection in each sampling stratum within the sample allocation. Among the 476
PSUs, 248 were from urban areas and 228 were from rural areas. A household listing operation was carried
out in all the selected PSUs before the main survey. The resulting list of households served as the sampling
frame for the selection of sample households in the second stage. Thirty households were selected from
each cluster, for a total sample size of 14,280 households. Of these, 7,440 households were in urban areas,
and 6,840 households were in the rural areas. Some of the selected sub-wards were found to be overly
large during the household listing operation. Selected sub-wards with an estimated number of households
greater than 300 were segmented. Only one segment was selected for the survey with probability
proportional to the segment size. Global positioning system (GPS) data was collected at the household
level during the household listing and the individual interviews.
The survey interviewers were instructed to interview only the pre-selected households. To prevent bias, no
replacements and no changes to the pre-selected households were allowed in the implementation stage.
Because of the nonproportional sample allocation, the sample is not self-weighting at the national level.
Weighting factors have been calculated, added to the data file, and applied, so the sample results are
representative at the national level as well as at the provincial level.
All women age 1549 who were permanent residents of the selected households or were visitors who
stayed in the households the night before the survey, were eligible to be interviewed. In half of the
households (every second household) selected, all men age 1549 who were residents of the selected
households or were visitors who stayed in the household the night before the survey, were eligible to be
interviewed. The survey collected biomarker information from a subsample of the households.
4
2.2 QUESTIONNAIRES
Four questionnaires were used for the 2022 NDHS: the Household Questionnaire, the Womans
Questionnaire, the Mans Questionnaire, and the Biomarker Questionnaire. The questionnaires, based on
The DHS Programs standard Demographic and Health Survey (DHS-8) questionnaires, were adapted to
reflect the population and health issues relevant to Nepal. In addition, a self-administered Fieldworker
Questionnaire collected information about the surveys fieldworkers. Input was solicited from various
stakeholders representing government ministries and agencies, nongovernmental organizations, and
international donors. The survey protocol was reviewed by the Nepal Health Research Council and the ICF
Institutional Review Board. The 2022 NDHS required written consent from the household head to carry
out the interviews and to test for anemia. Similarly, written consent/assent was required from individuals
for anemia testing and from parents/guardians for children age 659 months.
After all questionnaires were finalized in English, they were translated into Nepali, Maithili, and Bhojpuri
languages. The Household, Womans, and Mans Questionnaires were programmed into tablet computers
to facilitate computer-assisted personal interviewing (CAPI) for data collection purposes, with the
capability to choose any of the three languages for each questionnaire. The Biomarker Questionnaire was
completed on paper during the data collection and then entered in the CAPI system.
The Household Questionnaire was used to list all members of the households and visitors to selected
households. Basic demographic information was collected on the characteristics of each person listed,
including age, sex, marital status, education, and relationship to the head of the household. For children
under age 18, the parents survival status was determined. The data on age and sex of household members
obtained in the Household Questionnaire were used to identify women and men who were eligible for the
individual interviews. The Household Questionnaire also collected information on characteristics of the
household dwelling unit, such as source of water, type of toilet facilities, materials used for the floor of the
dwelling unit, and ownership of various durable goods. Additional modules on disability, accident and
injury, and food insecurity were included in the household questionnaire.
The Womans Questionnaire was used to collect information from all women age 1549. These women
were asked questions on the following topics:
Background characteristics (including age, education, and media exposure)
Pregnancy history and child mortality
Knowledge, use, and source of family planning methods
Fertility preferences (including desire for more children, ideal number of children)
Antenatal, delivery, and postnatal care
Vaccinations and childhood illnesses
Breastfeeding and infant feeding practices
Womens work and husbands background characteristics
Knowledge, awareness, and behavior regarding HIV and other sexually transmitted infections (STIs)
Fistula
Mental health
Domestic violence
Knowledge, attitudes, and behavior related to other health issues (for example, cancer, smoking,
tuberculosis, and COVID-19)
The Mans Questionnaire was administered to all men age 1549 in the subsample of households selected
for the mens survey. The Mans Questionnaire collected much of the same information as the Womans
Questionnaire but was shorter because it did not contain a detailed reproductive history or questions on
maternal and child health.
The Biomarker Questionnaire recorded the anthropometry measurements, anemia testing, and blood
pressure measurements. These questionnaires were administered only in a subsample that was not selected
5
for the survey of men. All children age 059 months and all women age 15-49 in these households were
eligible for height and weight measurements. Similarly, children age 659 months and women age 1549
were eligible for anemia testing. Blood pressure was measured for all women and men age 15 and older in
the subsample of households selected for biomarkers.
The Fieldworker Questionnaire recorded background information from the interviewers that will serve as a
tool in conducting analyses of data quality. Each interviewer completed the self-administered Fieldworker
Questionnaire after the final selection of interviewers and before the fieldworkers entered the field. No
personal identifiers were attached to the 2022 NDHS fieldworker data file.
Tablet computers were used for data collection by the enumerators. The tablet computers were equipped
with Bluetooth® technology to enable remote electronic transfer of files, such as assignments from the
team supervisor to the interviewers, individual questionnaires to survey team members, and completed
questionnaires from interviewers to team supervisors. The computer-assisted personal interviewing (CAPI)
data collection system used in the 2022 NDHS was developed by The DHS Program with the mobile
version of CSPro. The CSPro software was developed jointly by the U.S. Census Bureau, Serpro S.A., and
The DHS Program.
2.3 ANTHROPOMETRY, ANEMIA TESTING, AND BLOOD PRESSURE MEASUREMENT
The 2022 NDHS biomarkers included anthropometric measurements, anemia testing, and measurement of
blood pressure. Biomarker data was collected in half of the households that were not selected for the
survey of men. Height and weight measurements were carried out for eligible women age 1549 and
children age 059 months in these households. Similarly, anemia testing was carried out for eligible
women age 1549 and children age 659 months in these households. Blood pressure measurements were
collected for adults age 15 and above in half of the households selected for biomarkers, along with height
and weight measurements.
Anthropometry. Weight measurements were taken using SECA scales with a digital display (model
number SECA874U), designed and supplied by the United Nations Childrens Fund (UNICEF). Height
and length were measured with a measuring board (ShorrBoard®). Children younger than age 24 months
were measured lying down (recumbent length), while older children and adults were measured standing
(height).
To assess the precision of measurements, about 10% of children were randomly selected to be measured a
second time. The DHS Program defines a difference of less than 1 centimeter between the two height
measurements as an acceptable level of precision. Children with a z score of less than -3 or more than +3
for height-for-age, weight-for-height, or weight-for-age were flagged and measured a second time. The re-
measurement of flagged cases was performed to ensure accurate reporting of height and weight
measurements.
Children with a z score of less than -3 for weight-for-height were considered severely wasted (acute
undernutrition) and were eligible for referral. The team supervisor or the biomarker specialist provided a
referral form to the parent/responsible adult of the child identified with acute undernutrition. The referral
form included the name, height (cm), weight (kg), and weight-for-height (z score) result for the child. The
parent/responsible adult was informed about the effects of acute undernutrition and instructed to take the
child to a local health facility to ensure the child receives proper assessment and treatment. They were
instructed to take the referral form with them during such visits to the health facility.
Anemia. Blood specimens for anemia testing were collected from women age 1549 who consented to be
tested. Blood specimens were also collected from children age 659 months whose parents or guardians
had given consent for the testing. Blood samples were drawn from a drop of blood taken from a finger
prick (or a heel prick in the case of children age 611 months) and collected in a microcuvette.
Hemoglobin analysis was carried out on-site using a battery-operated portable HemoCue® 201+ device.
6
Results were provided verbally and in writing to those being tested. Parents or guardians of children with a
hemoglobin level below 7 g/dl were provided with a referral form and instructed to take the child to a
health facility for follow-up care. Adults were also referred for follow-up care if their hemoglobin levels
were below 7 g/dl.
Blood pressure. Blood pressure measurements were conducted on consenting women and men age 15 and
above in the subsample of households selected for biomarkers. Blood pressure was measured using a
Multi-User Upper Arm Blood Pressure Monitor with an automatic upper-arm inflation pressure release.
Each team was equipped with three monitors having different cuff sizes: (a) UA-767F/FAC with medium
cuff, (b) UA-767PVS with small cuff, and (c) UA-789AC with extra-large cuff. An additional cuff of each
size was provided. Three blood pressure measurements were taken at intervals of 5 minutes or more. The
average of the second and third measurements was used to classify the results of hypertension, according
to internationally recommended categories (World Health Organization [WHO] 1999). Although electronic
devices used in the survey do not contain mercury, blood pressure values were expressed in millimeters of
mercury (mm Hg). The results of the blood pressure measurements, as well as information about the
symptoms of high blood pressure and ways it can be prevented, were immediately provided to the
respondent via the Blood Pressure Reporting Form. Respondents found to have high blood pressure,
defined as systolic pressure greater than 140 mmHg and/or diastolic pressure greater than 90 mmHg, were
provided a referral form to take to a local health facility.
2.4 TRAINING OF TRAINERS AND PRETEST
The orientation session for master trainers from the New ERA core team was held on September 19, 2021,
followed by residential pretest training that took place from September 20 to October 4, 2021. The
residential training adhered to the COVID-19 risk mitigation plan developed for the survey, which
followed national guidelines. There was a total of 25 participants for the training (6 core team members, 4
data processing team members, 3 biomarker specialists, 9 female interviewers, and 3 male interviewers).
The interviewers were recruited based on their experience working in household surveys, including the
previous NDHS, and their language proficiency in the three local languages: Nepali, Maithili, and
Bhojpuri. Training was facilitated by the ICF staff who focused on the technical components of the survey,
biomarkers, and the CAPI system.
The training focused on key components of the survey including the following:
Probing for age
Interview techniques and procedures for completing the NDHS questionnaires
Pregnancy history, family planning, and contraceptive calendar
Completing the vaccination section
Standardization procedures for anthropometry
Blood pressure measurement, and anemia testing
The training adopted an integrated approach whereby discussions on technical content and instructions on
navigating the CAPI system were conducted concurrently. This approach was facilitated by a mock
interview that took the trainees step-by-step through the questionnaires during the different sessions. The
participants also worked in groups using various training techniques, for example, interactive question-
and-answer sessions, case studies, group work, and role play. Emphasis was placed on hands-on training
and in-class exercises and becoming familiar with survey principles.
Representatives from the Ministry of Health and Population and USAID Nepal visited the training.
Technical support for the Mental Health Module was provided by technical experts from Transcultural
Psychosocial Organization Nepal (TPO Nepal) who supported the training. The anthropometry
standardization exercise was conducted and completed successfully by all the biomarker specialists.
7
Fieldwork for the pretest was carried out from October 6 to October 10, 2021, in three locations featuring
the three languages of Nepal (Maithili, Bhojpuri, and Nepali). Three teams were deployed, one for each
language. The locations were in Sarlahi district for Maithili, Bara district for Bhojpuri, and Makwanpur
district for Nepali. Each team carried out the fieldwork in an urban and a rural location, completing six
clusters in total. Following the fieldwork, a debriefing session was held with the pretest field staff on
October 11, 2021. Modifications were made to the questionnaires based on lessons drawn from the
exercise.
2.5 TRAINING OF FIELD STAFF
The main training for the 2022 NDHS was held at a residential facility in Kathmandu from November 28
to December 23, 2021, followed by four days of field practice and a review session held on December 29,
2021. After an intense recruitment process that included a written test, a computer test, and a personal
interview, the shortlisted candidates took RT-PCR tests for COVID-19. Those presenting negative results
for the RT-PCR test were invited to join the training in the residential facility. Almost all the selected
participants were fully vaccinated against COVID-19; a few received their second dose during the training.
The training followed strict guidelines for COVID-19 risk mitigation that included:
Daily symptom checks using a Google form developed and coordinated by New ERA
Daily temperature checks at the venue
Changing masks upon arrival at the venue and wearing those throughout the sessions
Regular use of hand sanitizer
Special seating arrangements
Maintaining physical distance
Three training halls were used, two for training interviewers and one for training biomarker specialists.
Participants for the main training included 123 trainees (61 females and 62 males). Among these, 19 were
assigned as male supervisors, 19 as male interviewers, 57 as female interviewers, and 20 males as
biomarker specialists. Further, there were 4 male and 4 female quality control team members who
participated during the main training. Most supervisors and interviewers had previous experience in
conducting household surveys, including the previous rounds of the NDHS. The biomarker specialists had
previous experience in collecting biomarker data.
The main training was facilitated by the research team of New ERA with technical backstopping from ICF
staff. The training adopted the integrated training approach as was done during the pretest training. The
first two weeks of training included all the participants (including the biomarker specialists). It focused on
the technical content of the questionnaires and used the CAPI system as the data collection tool. The CAPI
components were embedded throughout the sessions and the different options in the interviewers menu
and toolbars were introduced as necessary to enable efficiency while navigating the CAPI system. The
training included role play, demonstrations, discussions, mock interviews, videos, practical exercises, and
quizzes. Resource persons from the Ministry of Health and Population were invited provide technical
background on key topics such as family planning and reproductive health, maternal and newborn health,
child health and immunization, and nutrition. A resource person from TPO Nepal was invited to support
and facilitate the training on mental health as it related to the Mental Health Module.
The biomarker training took place from December 12 to December 23, 2021. The training utilized a
variety of different learning tools such as formal lectures on technical aspects of biomarker collection,
target population and eligibility, videos to demonstrate the process of anthropometry and blood collection,
hands-on demonstrations, group reading sessions, and in-house practice sessions.
Biomarker specialists were trained to measure the height and weight of children and adults using standard
anthropometric procedures. The training for child height measurement included standardization exercises,
and re-standardization exercises for those biomarker specialists who did not pass the standardization
8
exercises. This training involved three visits to a daycare center that New ERA had organized. The
biomarker training included measurement of hemoglobin levels in women age 1549 and children age 6
59 months through collection of capillary blood. Blood pressure measurements were taken for adults age15
and above.
A separate session was held for the supervisors and the quality control teams on December 17 and
December 23, 2021, to provide training on fieldwork management and data quality monitoring. These
sessions included discussions on roles and responsibilities, preparation and mobilization for fieldwork,
managing assignments for biomarker specialists and facilitating remeasurements, completing biomarker
checklists, conducting re-interviews in CAPI, and monitoring the progress and workload of team members.
On completion of the training, field practice was carried out in Chandranigahapur, in the terai ecological
zone, about 100 miles from Kathmandu City, where all three languages could be practiced. The teams
departed on December 24, 2021, and the field practice was carried out from December 25 to December 28,
2021. Nineteen teams, consisting of a supervisor, one male interviewer, three female interviewers, and one
biomarker specialist carried out the field practice. A review session was held on December 29, 2021, to
discuss the experience and feedback from the field practice. Overall, it was a fruitful exercise whereby the
teams could experience real field conditions and be prepared before being mobilized for the actual data
collection.
2.6 FIELDWORK
Data collection for the 2022 NDHS was carried out by 19 teams. Each team consisted of a supervisor, one
male interviewer, three female interviewers, and one biomarker specialist. The teams were first deployed
in locations away from Kathmandu because at that time the capital city was a COVID-19 hotspot. The
fieldwork began on January 5, 2022, in two central locationsItahari and Chitwanunder close
supervision. On completion of the fieldwork in these first locations, a review session was held on January
9, 2022, and the teams departed to their respective assigned clusters on January 10, 2022, to continue with
data collection for the survey. Caution was taken while mobilizing the teams throughout the data collection
period to mitigate the risk of COVID-19. Except for few mild cases, there were no major impacts of
COVID-19 during data collection. The fieldwork was slightly disrupted when local elections took place.
The field teams had to go home to cast their votes, and the local people were engaged in election activities.
Data collection activities were completed on June 22, 2022.
Fieldwork monitoring was an integral part of the 2022 NDHS, and several rounds of monitoring were
carried out by the New ERA core team and quality control teams. ICF provided technical assistance during
the data collection period through weekly virtual meetings. The technical teams from the Ministry of
Health and Population, Nepal Health Research Council, and USAID Nepal made several field visits to
ensure data collection was carried according to the protocol. Regular feedback was provided to the teams
by the New ERA core team.
2.7 DATA PROCESSING
Data capture for the 2022 NDHS was carried out with Microsoft Surface Go 2 tablets running Windows
10.1. Software was prepared for the survey using the Census and Survey Processing System (CSPro). The
processing of the 2022 NDHS data began shortly after the fieldwork started. When data collection was
completed in each cluster, the electronic data files were transferred via the internet file streaming system
(IFSS) to the New ERA central office in Kathmandu. The data files were registered and checked for
inconsistencies, incompleteness, and outliers. Errors and inconsistencies were immediately communicated
to the field teams for review so those problems would be mitigated going forward. Secondary editing,
carried out in the central office at New ERA, involved resolving inconsistencies and coding the open-
ended questions. The New ERA senior data processor coordinated the exercise at the central office. The
NDHS core team members assisted with the secondary editing. The paper Biomarker Questionnaires were
compared with the electronic data file to check for any inconsistencies in data entry. The pictures of
9
vaccination cards that were captured during data collection were verified with the data entered. Data
processing and editing were carried out using the CSPro software package. The concurrent data collection
and processing offered a distinct advantage because it maximized the likelihood of the data being error-
free and accurate. Timely generation of field check tables allowed for effective monitoring. The secondary
editing of the data was completed by July 2022 and the final cleaning of the data set was completed by the
end of August 2022.
Throughout this report, numbers in the tables reflect weighted numbers. Percentages based on 25 to 49
unweighted cases are shown in parentheses and percentages based on fewer than 25 unweighted cases are
suppressed and replaced with an asterisk. This is to caution readers when interpreting data that a
percentage based on fewer than 50 cases might not be statistically reliable.
11
3 KEY FINDINGS
3.1 RESPONSE RATES
Table 1 shows the results of the household and individual interviews, and response rates, according to
residence, for the 2022 NDHS. A total of 14,243 households were selected for the 2022 NDHS sample, of
which 13,833 were found to be occupied. Of the occupied households, 13,786 were successfully
interviewed, yielding a response rate of 99.7%. In the interviewed households, 15,238 women age 1549
were identified as eligible for individual interview. Interviews were completed with 14,845 women,
yielding a response rate of 97%. In the subsample of households selected for the men’s survey, 5,185 men
age 1549 were identified as eligible for individual interview and 4,913 were successfully interviewed,
yielding a response rate of 95%.
Table 1 Results of the household and individual interviews
Number of households, number of interviews, and response rates, according to residence
(unweighted), Nepal DHS 2022
Residence
Total
Result
Urban
Rural
Household interviews
Households selected
7,447
6,796
14,243
Households occupied
7,226
6,607
13,833
Households interviewed
7,195
6,591
13,786
Household response rate
1
99.6
99.8
99.7
Interviews with women age 1549
Number of eligible women
8,260
6,978
15,238
Number of eligible women interviewed
8,019
6,826
14,845
Eligible women response rate
2
97.1
97.8
97.4
Household interviews in subsample
Households selected
3,721
3,399
7,120
Households occupied
3,602
3,296
6,898
Households interviewed
3,590
3,286
6,876
Household response rate in subsample
1
99.7
99.7
99.7
Interviews with men age 1549
Number of eligible men
2,901
2,284
5,185
Number of eligible men interviewed
2,717
2,196
4,913
Eligible men response rate
2
93.7
96.1
94.8
1
Households interviewed/households occupied.
2
Respondents interviewed/eligible respondents.
3.2 CHARACTERISTICS OF RESPONDENTS
Table 2 shows the percent distribution of weighted and unweighted women and men age 1549
interviewed in the 2022 NDHS survey, by background characteristics. Results presented in this report are
based on weighted data, so they are representative of the country as a whole, by urban and rural residence,
by province, and by urban and rural residence within each province.
More than half of the women and men interviewed were under age 30 (52% each).
Women were less likely to report that they have good or very good health than men (34% and 48%,
respectively).
About four in five women and men are Hindu (83% and 82%, respectively) while 7% of women and
8% of men are Buddhist. Five percent of women and men are Muslim, 3% are Kirat, and 3% are
Christian.
Janajati are the dominant ethnic group (37% of women and 38% of men) followed by Brahmin/Chhetri
(28% of women and 25% of men). Sixteen percent of women and 19% of men are Madhesi and 15%
of women and 13% of men belong to Dalit ethnic group.
12
Twenty-two percent of women and 36% of men have never been married. A majority of women (75%)
and men (63%) are married.
The majority of the women (69%) and men (71%) reside in urban areas.
Twenty-one percent of women and 25% of men live in Bagmati Province followed by 20% each in
Madhesh Province.
Thirty-nine percent of women and 46% of men have at least some secondary education while 4% of
women and 8% of men have more than secondary education.
2
Twenty-six percent of women and 8%
of men have no education.
Table 2 Background characteristics of respondents
Percent distribution of women and men age 1549 by selected background characteristics, Nepal DHS 2022
Women
Men
Background
characteristic
Weighted
percent
Weighted
number
Unweighted
number
Weighted
percent
Weighted
number
Unweighted
number
Age
1519
17.8
2,643
2,777
20.0
985
1,011
2024
17.8
2,637
2,623
17.5
857
818
2529
16.4
2,435
2,361
14.6
716
709
3034
14.4
2,144
2,065
12.5
616
610
3539
13.6
2,025
2,002
13.0
639
631
4044
11.0
1,629
1,650
12.3
604
616
4549
9.0
1,332
1,367
10.1
496
518
Self-reported health status
Very good
5.6
826
672
8.6
423
347
Good
28.1
4,168
3,902
38.9
1,913
1,891
Moderate
56.7
8,423
8,683
47.8
2,348
2,417
Bad
9.0
1,335
1,490
4.4
216
243
Very bad
0.6
93
98
0.3
13
15
Religion
Hindu
83.4
12,374
12,618
81.9
4,025
4,097
Buddhist
6.5
970
848
7.9
389
349
Muslim
4.6
682
523
4.7
231
179
Kirat
2.5
365
371
2.8
139
150
Christian
3.0
445
477
2.5
123
134
Other
0.1
8
8
0.1
6
4
Ethnic group
Brahmin/Chhetri
28.0
4,152
4,843
25.1
1,232
1,438
Dalit
15.1
2,240
2,488
13.4
658
721
Janajati
36.6
5,428
5,091
38.0
1,869
1,805
Madhesi
15.7
2,333
1,892
18.7
917
767
Muslim
4.6
676
518
4.6
228
177
Others
0.1
15
13
0.2
8
5
Marital status
Never married
21.6
3,203
3,123
36.0
1,768
1,679
Married or living together
75.3
11,180
11,258
62.9
3,090
3,179
Divorced/separated
1.1
170
155
0.6
31
33
Widowed
2.0
292
309
0.3
12
14
Residence
Urban
68.6
10,178
8,019
70.5
3,462
2,717
Rural
31.4
4,667
6,826
29.5
1,451
2,196
Ecological zone
Mountain
5.3
791
1,262
5.2
255
407
Hill
39.6
5,872
6,606
40.2
1,973
2,150
Terai
55.1
8,182
6,977
54.6
2,685
2,356
Continued…
2
The education system in Nepal has been amended based on the Education Act Eight Amendment Bill 2016 (MoEST
2021). The 2022 NDHS refers to this amendment and differs from the previous NDHS surveys.
13
Table 2Continued
Women
Men
Background
characteristic
Weighted
percent
Weighted
number
Unweighted
number
Weighted
percent
Weighted
number
Unweighted
number
Province
Province 1
16.8
2,493
2,209
18.0
882
795
Urban
11.0
1,640
1,135
12.3
604
431
Rural
5.7
853
1,074
5.7
278
364
Madhesh Province
20.3
3,010
2,499
20.3
997
882
Urban
15.0
2,226
1,422
14.7
722
487
Rural
5.3
783
1,077
5.6
275
395
Bagmati Province
20.6
3,062
2,106
24.7
1,214
831
Urban
16.6
2,464
1,274
20.7
1,016
535
Rural
4.0
599
832
4.0
198
296
Gandaki Province
9.4
1,401
1,682
7.9
387
505
Urban
6.7
992
897
5.4
264
246
Rural
2.8
409
785
2.5
123
259
Lumbini Province
18.1
2,691
2,266
16.5
812
718
Urban
10.5
1,553
1,214
9.5
468
386
Rural
7.7
1,138
1,052
7.0
344
332
Karnali Province
6.1
909
1,978
5.4
266
604
Urban
3.4
507
968
3.1
154
306
Rural
2.7
402
1,010
2.3
113
298
Sudurpashchim Province
8.6
1,279
2,105
7.2
355
578
Urban
5.4
796
1,109
4.7
233
326
Rural
3.3
484
996
2.5
122
252
Education
No education
25.6
3,796
4,005
8.0
393
394
Basic education (18)
31.0
4,595
4,751
38.6
1,898
1,977
Lower basic education (15)
15.6
2,314
2,329
18.1
891
924
Upper basic education (68)
15.4
2,281
2,422
20.5
1,007
1,053
Secondary (912)
39.1
5,798
5,603
45.7
2,244
2,233
Lower secondary (910)
22.0
3,270
3,209
26.1
1,284
1,321
Higher secondary (1112)
17.0
2,529
2,394
19.5
959
912
More than secondary
(13 and above)
4.4
656
486
7.7
377
309
Wealth quintile
Lowest
17.7
2,628
3,997
15.3
751
1,170
Second
19.2
2,857
3,029
19.0
933
997
Middle
20.4
3,028
2,965
19.5
957
965
Fourth
21.5
3,197
2,733
23.1
1,135
978
Highest
21.1
3,135
2,121
23.1
1,137
803
Total 1549
100.0
14,845
14,845
100.0
4,913
4,913
Note: Education categories refer to the highest level of education attended, whether or not that level was completed. Education
classification is based on the Education Act Eight Amendment Bill 2016.
3.3 FERTILITY
Under SDG 3.7.1 (b) the government of Nepal targets achieving a total fertility rate of 2.1 births per
woman by 2030 (National Planning Commission, 2020). Table 3 shows the total fertility rate (TFR) and
the age-specific fertility rates (ASFRs) among women by 5-year age groups for the 3-year period
preceding the survey.
Total fertility rate
The average number of children a woman would have by the end of her
childbearing years if she bore children at the current age-specific fertility rates.
Age-specific fertility rates are calculated for the 3 years before the survey,
based on detailed pregnancy histories provided by women.
Sample: Women age 1549
If fertility were to remain constant at current levels, a woman in Nepal would bear an average of 2.1
children in her lifetime.
Fertility is low among adolescents (71 births per 1,000 women age 1519), peaks at 160 births per
1,000 among women age 2024, and then deceases thereafter.
14
Table 3 Current fertility
Age-specific and total fertility rates, general fertility rate,
and crude birth rate for the 3 years preceding the survey,
according to residence, Nepal DHS 2022
Residence
Total
Age group
Urban
Rural
1014
[0]
[0]
[0]
1519
64
86
71
2024
149
184
160
2529
104
124
110
3034
55
60
57
3539
16
20
17
4044
4
6
5
4549
[1]
[0]
[1]
TFR (1549)
2.0
2.4
2.1
GFR
73
88
78
CBR
19.3
21.4
20.0
Note: Age-specific fertility rates are per 1,000 women.
Estimates in brackets are truncated. Rates are for the
period 136 months preceding the interview. Rates for
the 1014 age group are based on retrospective data
from women age 1517.
TFR: Total fertility rate expressed per woman
GFR: General fertility rate expressed per 1,000 women
age 1544
CBR: Crude birth rate, expressed per 1,000 population
Trends: There has been a steady decline in the TFR from 4.8 births per woman in the 1996 NFHS to 2.1
births per woman in the 2022 NDHS (Figure 1). While the fertility rate has stagnated in urban areas, the
decline is prominent in rural areas. The reclassification of urban and rural areas could have an impact on
these rates.
Figure 1 Trends in fertility by residence
3.4 TEENAGE FERTILITY
Teenage pregnancy
Percentage of women age 1519 who have ever been pregnant.
Sample: Women age 1519
Table 4 shows the percentage of women age 1519 who have ever been pregnant at the time of the survey,
according to background characteristics.
Overall, 14% of women age 1519 have ever been pregnant, including 10% who have had a live birth,
2% who have had a pregnancy loss, and 4% who are currently pregnant.
4.6
4.1
3.1
2.6
2.3
2.1
2.9
2.1 2.1
1.6
2.0
2.0
4.8
4.4
3.3
2.8
2.9
2.4
1996
NFHS
2001
NDHS
2006
NDHS
2011
NDHS
2016
NDHS
2022
NDHS
TFR for the 3 years before each survey
Rural
Total
Urban
15
The percentage of women age 1519 who have ever been pregnant rises with age, from 1% at age 15
to 32% by age 19.
Teenage pregnancy is highest in Karnali Province (21%), followed by Madhesh Province (20%), and
lowest in Bagmati Province (8%).
Women age 1519 with no education (33%) are more likely to start childbearing earlier than those
with at least some secondary education (8%).
Table 4 Teenage pregnancy
Percentage of women age 1519 who have ever had a live birth, percentage who have ever had a pregnancy loss, percentage
who are currently pregnant, and percentage who have ever been pregnant, according to background characteristics, Nepal
DHS 2022
Percentage of women age 1519 who:
Number of
women
Background
characteristic
Have ever had a
live birth
Have ever had a
pregnancy loss
1
Are currently
pregnant
Have ever been
pregnant
Age
15
0.4
0.5
0.4
1.1
510
16
2.2
0.5
2.2
4.6
539
17
7.1
1.1
3.3
10.5
493
18
14.0
2.0
5.9
20.1
622
19
24.8
5.6
9.3
31.7
479
Ethnic group
Brahmin/Chhetri
5.7
1.1
2.0
7.8
724
Dalit
15.5
3.8
5.3
20.7
471
Janajati
9.2
1.6
4.1
12.9
839
Madhesi
8.4
1.3
6.1
13.5
434
Muslim
15.5
3.1
6.5
22.2
171
Others
*
*
*
*
3
Residence
Urban
8.6
1.8
4.5
12.9
1,758
Rural
11.6
2.1
3.7
14.9
885
Ecological zone
Mountain
13.6
2.8
2.4
15.8
148
Hill
9.3
2.0
3.4
12.5
1,011
Terai
9.4
1.7
5.0
14.1
1,483
Province
Province 1
10.9
1.2
2.4
12.8
409
Urban
8.7
1.2
2.1
9.9
244
Rural
14.2
1.2
2.9
17.1
164
Madhesh Province
12.4
2.6
8.0
19.8
619
Urban
11.8
1.9
7.9
19.3
450
Rural
13.9
4.5
8.3
21.0
168
Bagmati Province
4.8
0.8
3.2
7.8
489
Urban
3.4
0.5
3.6
6.9
377
Rural
9.4
1.7
1.9
10.6
112
Gandaki Province
11.5
2.3
2.5
12.9
238
Urban
10.6
2.6
3.1
12.6
177
Rural
13.9
1.6
1.0
13.9
61
Lumbini Province
6.3
1.8
3.1
9.8
434
Urban
6.6
1.9
3.5
10.5
249
Rural
5.7
1.6
2.6
8.9
185
Karnali Province
16.6
3.2
4.6
20.5
203
Urban
15.8
4.4
4.9
20.6
111
Rural
17.5
1.7
4.3
20.4
92
Sudurpashchim Province
8.8
2.1
3.1
12.5
250
Urban
8.0
2.6
3.6
12.2
149
Rural
10.1
1.4
2.3
12.9
101
Education
No education
27.5
2.2
9.4
32.7
140
Basic education (18)
14.1
3.3
6.2
19.8
927
Lower basic education (15)
20.1
6.7
8.2
28.8
278
Upper basic education (68)
11.5
1.8
5.3
16.0
650
Secondary (912)
5.4
1.0
2.6
8.2
1,572
Lower secondary (910)
6.3
1.0
3.1
9.6
956
Higher secondary (1112)
4.0
1.1
1.9
6.2
616
More than secondary
(13 and above)
*
*
*
*
4
Continued…
16
Table 4Continued
Percentage of women age 1519 who:
Number of
women
Background
characteristic
Have ever had a
live birth
Have ever had a
pregnancy loss
1
Are currently
pregnant
Have ever been
pregnant
Wealth quintile
Lowest
14.8
2.7
3.1
17.4
535
Second
13.3
2.4
4.9
18.5
568
Middle
10.5
1.8
5.2
13.9
533
Fourth
6.1
1.8
5.6
12.1
571
Highest
2.1
0.5
1.7
4.0
436
Total
9.6
1.9
4.2
13.6
2,643
Note: An asterisk indicates that a figure is based on fewer than 25 unweighted cases and has been suppressed.
1
Stillbirth, miscarriage, or abortion
3.5 FERTILITY PREFERENCES
Desire for another child
Women were asked whether they wanted more children and, if so, how long
they would prefer to wait before the birth of the next child. Women who are
sterilized are assumed not to want any more children.
Sample: Currently married women age 1549
Information on fertility preferences is used to assess the potential demand for family planning services for
the purposes of spacing or limiting future childbearing. Table 5 shows fertility preferences among
currently married women age 1549 by number of living children.
Ten percent (10%) of women want another child soon (within the next 2 years), 13% want to have
another child later (in 2 or more years), and 1% want another child but have not decided when.
Fifty-three percent (53%) of women want no more children, 17% are sterilized, and 3% stated that
they are infecund.
The percentage of women who want another child soon decreases from 59% among those with no
living children to 2% or less among those with three or more children. In general, the more children a
woman has, the higher the likelihood that she does not want another child or is sterilized.
Table 5 Fertility preferences according to number of living children
Percent distribution of currently married women age 1549 by desire for children, according to number of living children,
Nepal DHS 2022
Number of living children
1
Total
Desire for children
0
1
2
3
4
5
6+
Have another soon
2
59.3
15.1
4.1
1.8
1.0
1.4
0.2
9.9
Have another later
3
30.2
37.2
4.6
1.7
0.7
0.1
0.0
13.2
Have another, undecided when
2.3
1.9
0.4
0.2
0.1
0.0
0.0
0.8
Undecided
1.4
9.1
2.3
1.5
1.2
0.4
0.0
3.5
Want no more
1.8
33.2
69.7
59.0
59.3
59.7
69.5
52.5
Sterilized
4
1.2
1.8
17.5
31.7
31.8
27.7
22.3
17.0
Declared infecund
3.9
1.6
1.5
4.1
5.8
10.6
8.0
3.0
Total
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
Number of women
818
2,714
3,905
2,140
1,046
353
205
11,180
1
The number of living children includes a womans current pregnancy
2
Wants next birth within 2 years
3
Wants to delay next birth for 2 or more years
4
Includes both female and male sterilization
17
3.6 FAMILY PLANNING
3.6.1 Contraceptive use
Contraceptive prevalence
Percentage of women who use any contraceptive method.
Sample: Currently married women age 1549
Modern methods
Include male and female sterilization, injectables, intrauterine contraceptive
device (IUCD), contraceptive pill, implants, male condoms, emergency
contraception, the standard days method, and lactational amenorrhea method.
The government of Nepal’s target under SDG 3.7.1 (a) includes specific targets for use of modern methods
of contraception by women of reproductive age (1549). The targets are 53% by 2022 and 60% by 2030
(Ministry of Health and Population 2022). Table 6 shows current levels of contraceptive use among
currently married women age 1549.
Fifty-seven (57%) of currently married women are using a method of contraception; 43% are using a
modern method, and 15% are using a traditional method.
The most popular modern methods used are female sterilization (13%), injectables (9%), and implants
(6%).
Withdrawal is by far the most common traditional method used; 13% of currently married women use
this method compared with 2% who use the rhythm method.
Trends: Use of any family planning method among currently married women rose from 29% in 1996 to
57% in 2022. Over the same period, use of modern methods of contraception increased from 26% in 1996
to 44% in 2006. It has held steady at 43% from 2011 through 2022 (Figure 2).
18
Table 6 Current use of contraception according to background characteristics
Percent distribution of currently married women age 1549 by contraceptive method currently used, according to background characteristics, Nepal DHS 2022
Any
method
Any
modern
method
Modern method
Any tradi-
tional
method
Traditional method
Not
currently
using
Total
Number of
women
Background
characteristic
Female
sterilization
Male
sterilization
IUCD
Injectables
Implants
Pill
Male
condom
Other
1
Rhythm
Withdrawal
Number of living children
0
20.9
8.3
0.2
0.8
0.0
0.6
0.1
0.7
6.0
0.1
12.6
0.9
11.7
79.1
100.0
1,055
12
57.3
40.1
8.6
2.8
1.3
10.4
6.0
5.5
5.5
0.1
17.1
1.7
15.4
42.7
100.0
6,449
34
68.3
57.2
26.4
5.9
1.5
9.7
7.5
3.9
2.3
0.1
11.1
2.8
8.3
31.7
100.0
3,133
5+
63.3
55.1
21.4
5.1
1.7
11.6
10.2
3.1
2.0
0.0
8.2
1.9
6.3
36.7
100.0
543
Age
1519
28.2
14.2
0.1
0.0
0.1
6.6
1.4
1.6
4.4
0.0
14.0
2.1
11.9
71.8
100.0
563
2024
38.6
24.9
1.7
0.2
0.5
9.0
4.8
4.2
4.4
0.2
13.7
1.9
11.8
61.4
100.0
1,783
2529
52.1
37.4
6.4
0.3
1.6
11.8
6.8
4.8
5.6
0.1
14.7
1.7
13.1
47.9
100.0
2,198
3034
61.1
45.3
11.4
2.5
1.8
11.9
6.9
5.6
5.2
0.1
15.8
2.1
13.7
38.9
100.0
2,027
3539
69.8
55.6
21.9
4.6
1.5
9.5
8.3
5.2
4.6
0.0
14.3
1.6
12.6
30.2
100.0
1,906
4044
71.1
56.1
25.8
7.8
1.6
7.6
5.9
4.7
2.7
0.0
15.0
2.4
12.6
28.9
100.0
1,515
4549
63.8
50.0
24.3
10.9
0.8
3.9
4.1
2.5
3.6
0.0
13.7
2.2
11.5
36.2
100.0
1,188
Ethnic group
Brahmin/Chhetri
60.0
39.6
6.7
7.4
1.8
8.6
5.1
4.0
5.9
0.1
20.4
1.0
19.4
40.0
100.0
3,031
Dalit
52.6
44.0
16.5
3.6
0.9
10.8
6.9
3.2
2.2
0.1
8.6
1.5
6.9
47.4
100.0
1,734
Janajati
61.3
45.4
10.2
2.6
1.3
11.7
8.4
5.9
5.5
0.1
15.8
1.5
14.3
38.7
100.0
4,042
Madhesi
55.1
44.6
30.2
0.3
0.9
4.7
3.0
3.2
2.3
0.1
10.5
4.7
5.8
44.9
100.0
1,835
Muslim
33.2
27.6
8.3
0.5
1.3
6.6
2.2
4.8
3.5
0.3
5.6
2.1
3.5
66.8
100.0
528
Others
*
*
*
*
*
*
*
*
*
*
*
*
*
*
100.0
11
Residence
Urban
56.9
40.7
13.7
3.4
1.4
8.0
4.6
4.4
5.1
0.1
16.2
1.9
14.3
43.1
100.0
7,553
Rural
58.0
46.8
12.8
3.8
1.1
12.1
9.1
4.7
3.2
0.1
11.2
2.1
9.1
42.0
100.0
3,627
Ecological zone
Mountain
62.7
50.1
3.2
11.0
1.6
17.8
10.1
2.8
3.4
0.2
12.6
0.6
12.1
37.3
100.0
629
Hill
59.1
41.1
4.7
5.5
1.6
11.1
8.4
4.7
5.1
0.0
18.0
1.4
16.6
40.9
100.0
4,275
Terai
55.4
43.0
20.4
1.5
1.0
7.2
4.1
4.5
4.2
0.1
12.4
2.5
9.9
44.6
100.0
6,276
Province
Province 1
61.5
43.5
12.0
1.3
1.3
12.1
7.7
5.6
3.6
0.0
18.0
2.7
15.3
38.5
100.0
1,887
Urban
62.3
42.9
12.8
1.5
1.2
10.6
7.1
5.5
4.2
0.0
19.4
2.7
16.7
37.7
100.0
1,242
Rural
60.1
44.9
10.5
0.9
1.4
14.8
9.0
5.7
2.4
0.1
15.2
2.8
12.4
39.9
100.0
645
Madhesh Province
49.0
40.5
28.3
0.5
0.7
4.8
1.8
2.6
1.7
0.1
8.5
4.3
4.1
51.0
100.0
2,419
Urban
46.5
38.1
27.5
0.6
0.9
3.7
1.5
1.8
2.0
0.1
8.4
4.2
4.2
53.5
100.0
1,789
Rural
56.0
47.4
30.5
0.2
0.1
8.0
2.7
4.8
0.9
0.1
8.6
4.6
4.0
44.0
100.0
630
Bagmati Province
66.2
44.6
5.7
6.4
1.4
12.3
7.1
5.0
6.7
0.0
21.5
1.4
20.1
33.8
100.0
2,156
Urban
65.9
42.3
6.3
5.9
1.4
10.5
4.5
5.7
7.9
0.0
23.6
1.4
22.2
34.1
100.0
1,700
Rural
67.1
53.5
3.3
8.4
1.5
19.3
16.8
2.3
2.0
0.0
13.6
1.4
12.2
32.9
100.0
456
Gandaki Province
51.5
35.1
5.4
6.3
1.4
6.2
6.1
5.0
4.7
0.0
16.4
0.5
15.9
48.5
100.0
1,046
Urban
49.9
32.7
6.2
5.2
1.2
4.8
5.5
4.2
5.5
0.0
17.2
0.6
16.6
50.1
100.0
729
Rural
55.3
40.8
3.4
8.9
1.6
9.6
7.5
6.8
2.9
0.0
14.6
0.3
14.2
44.7
100.0
317
Lumbini Province
56.5
43.0
12.8
1.6
1.9
8.2
7.1
5.5
5.8
0.1
13.6
1.1
12.4
43.5
100.0
2,020
Urban
57.4
40.5
11.4
1.4
2.3
7.6
5.1
5.9
6.7
0.0
16.9
0.3
16.4
42.6
100.0
1,119
Rural
55.5
46.1
14.6
1.8
1.3
9.0
9.6
4.9
4.8
0.2
9.4
2.1
7.3
44.5
100.0
900
Continued…
19
Table 6Continued
Any
method
Any
modern
method
Modern method
Any tradi-
tional
method
Traditional method
Not
currently
using
Total
Number of
women
Background
characteristic
Female
sterilization
Male
sterilization
IUCD
Injectables
Implants
Pill
Male
condom
Other
1
Rhythm
Withdrawal
Karnali Province
55.3
45.9
3.5
10.1
1.3
15.4
8.2
4.1
3.3
0.1
9.3
0.2
9.1
44.7
100.0
691
Urban
56.2
45.0
4.0
11.8
1.3
12.1
7.7
4.8
3.2
0.1
11.1
0.1
11.0
43.8
100.0
381
Rural
54.1
47.1
2.9
8.1
1.3
19.3
8.8
3.3
3.4
0.0
7.0
0.3
6.8
45.9
100.0
310
Sudurpashchim Province
58.6
47.0
13.1
5.6
1.0
9.7
7.4
3.6
6.0
0.4
11.6
0.3
11.4
41.4
100.0
960
Urban
59.0
46.5
15.2
5.3
1.5
9.9
5.0
3.2
6.0
0.3
12.5
0.4
12.1
41.0
100.0
591
Rural
58.0
47.8
9.9
6.2
0.4
9.5
11.3
4.4
5.9
0.4
10.2
0.0
10.2
42.0
100.0
369
Education
No education
62.2
54.3
26.3
5.2
1.3
9.5
6.9
3.5
1.6
0.0
7.9
1.8
6.1
37.8
100.0
3,475
Basic education (18)
55.1
42.4
10.8
4.0
1.0
11.3
7.0
4.9
3.3
0.1
12.8
2.1
10.6
44.9
100.0
3,701
Lower basic education (15)
56.7
45.7
12.7
5.3
0.8
10.6
7.8
5.1
3.2
0.1
11.0
1.9
9.1
43.3
100.0
2,004
Upper basic education (68)
53.3
38.4
8.6
2.4
1.1
12.2
6.0
4.8
3.4
0.0
14.9
2.3
12.5
46.7
100.0
1,696
Secondary (912)
53.5
32.9
4.4
1.7
1.7
8.0
4.7
5.4
7.0
0.1
20.6
2.0
18.7
46.5
100.0
3,536
Lower secondary (910)
55.0
34.4
4.4
2.0
1.6
9.3
5.4
5.7
6.0
0.1
20.5
2.5
18.1
45.0
100.0
2,208
Higher secondary (1112)
51.2
30.4
4.5
1.2
1.8
5.7
3.5
4.8
8.7
0.1
20.8
1.1
19.7
48.8
100.0
1,328
More than secondary
(13 and above)
64.8
32.7
6.4
2.1
0.7
2.5
2.8
1.5
16.2
0.4
32.1
1.8
30.3
35.2
100.0
468
Wealth quintile
Lowest
54.3
44.7
6.7
5.0
1.3
14.0
11.2
3.9
2.5
0.1
9.6
1.4
8.2
45.7
100.0
2,031
Second
56.4
46.9
19.1
3.0
1.0
10.0
7.4
4.1
2.4
0.0
9.5
1.6
7.9
43.6
100.0
2,217
Middle
56.2
44.4
17.5
3.1
1.3
10.1
5.3
3.9
3.1
0.0
11.8
2.1
9.7
43.8
100.0
2,323
Fourth
56.6
38.7
13.2
2.7
1.1
7.4
4.0
5.9
4.3
0.1
17.9
2.6
15.3
43.4
100.0
2,381
Highest
62.5
39.0
10.0
4.2
1.7
5.6
3.1
4.4
10.0
0.1
23.4
2.0
21.4
37.5
100.0
2,228
Total
57.2
42.7
13.4
3.6
1.3
9.3
6.1
4.5
4.5
0.1
14.6
1.9
12.6
42.8
100.0
11,180
Note: If more than one method is used, only the most effective method is considered in this tabulation. An asterisk indicates that a figure is based on fewer than 25 unweighted cases and has been suppressed. Other traditional methods
not shown separately due to only 2 cases.
1
Other modern methods include lactational amenorrhea method (LAM) and emergency contraception
20
Figure 2 Trends in use, need, and demand for family planning
3.6.2 Need and demand for family planning
Table 7 presents data on unmet need, met need, and total demand for family planning among currently
married women. These indicators help evaluate the extent to which family planning programs in Nepal are
meeting the demand for services. The government of Nepals target for SDG 3.7.1, is that 74% of all
women age 1549 have a met need for family planning with modern methods by 2022 and 80% by 2030
(National Planning Commission 2020).
Need for family planning
Unmet need for family planning
Proportion of women who (1) are not pregnant and not postpartum
amenorrheic and are considered fecund and want to postpone their next birth
for 2 or more years or stop childbearing altogether but are not using a
contraceptive method, or (2) have a mistimed or unwanted current pregnancy,
or (3) are postpartum amenorrheic and their last birth in the last 2 years was
mistimed or unwanted.
Met need for family planning
Current contraceptive use (any method)
Sample: Currently married women age 1549
Demand for
family planning:
Unmet need for family planning
+ met need (current contraceptive use (any method))
Proportion of
demand
satisfied:
Current contraceptive use (any method)
Unmet need + current contraceptive use (any method)
Proportion of
demand
satisfied by
modern methods:
Current contraceptive use (any modern method)
Unmet need + current contraceptive use (any method)
Twenty-one percent (21%) of currently married women in Nepal have an unmet need for family
planning services. Fifty-seven percent (57%) of currently married women are currently using a
contraceptive method. Therefore, 78% of currently married women have a demand for family
planning. Thus, if all married women who said they want to space or limit their children were to use
family planning methods, the contraceptive prevalence rate would increase from 57% to 78%.
The total demand for family planning that is satisfied is 73%; 55% of the total demand is satisfied by
modern methods.
26
35
44
43
43
43
3
4
4
7
10
15
32
28
25
28
24
21
61
67
73
77
76
78
1996
NFHS
2001
NDHS
2006
NDHS
2011
NDHS
2016
NDHS
2022
NDHS
Percentage of currently married women age 1549
Unmet need
Currently using
traditional methods
(met need)
Currently using
modern methods
(met need)
Total demand
21
Table 7 Unmet need for family planning
Percentage of currently married women age 1549 with unmet need for family planning, percentage with met need for family planning, percentage
with met need for family planning who are using modern methods, percentage with demand for family planning, percentage of the demand for
family planning that is satisfied, and percentage of the demand for family planning that is satisfied with modern methods, according to background
characteristics, Nepal DHS 2022
Unmet need
for family
planning
Met need for family planning
(currently using)
Total demand
for family
planning
3
Number of
women
Percentage of demand
satisfied
1
Background
characteristic
All methods
Modern
methods
2
All methods
Modern
methods
2
Age
1519
30.9
28.2
14.2
59.1
563
47.7
24.0
2024
29.1
38.6
24.9
67.8
1,783
57.0
36.8
2529
23.5
52.1
37.4
75.7
2,198
68.9
49.4
3034
22.0
61.1
45.3
83.2
2,027
73.5
54.5
3539
17.2
69.8
55.6
87.1
1,906
80.2
63.8
4044
14.4
71.1
56.1
85.5
1,515
83.2
65.6
4549
10.2
63.8
50.0
74.0
1,188
86.1
67.6
Ethnic group
Brahmin/Chhetri
20.7
60.0
39.6
80.7
3,031
74.3
49.0
Dalit
25.5
52.6
44.0
78.1
1,734
67.3
56.4
Janajati
19.7
61.3
45.4
81.0
4,042
75.6
56.1
Madhesi
17.6
55.1
44.6
72.7
1,835
75.8
61.4
Muslim
24.7
33.2
27.6
58.0
528
57.3
47.6
Others
*
*
*
*
11
*
*
Residence
Urban
20.7
56.9
40.7
77.5
7,553
73.4
52.4
Rural
21.1
58.0
46.8
79.1
3,627
73.3
59.2
Ecological zone
Mountain
19.1
62.7
50.1
81.8
629
76.7
61.2
Hill
22.7
59.1
41.1
81.8
4,275
72.2
50.3
Terai
19.7
55.4
43.0
75.1
6,276
73.8
57.2
Province
Province 1
17.6
61.5
43.5
79.1
1,887
77.8
55.1
Urban
16.9
62.3
42.9
79.2
1,242
78.7
54.2
Rural
18.9
60.1
44.9
79.0
645
76.1
56.8
Madhesh Province
21.1
49.0
40.5
70.1
2,419
69.9
57.8
Urban
22.2
46.5
38.1
68.7
1,789
67.7
55.4
Rural
17.9
56.0
47.4
73.9
630
75.7
64.1
Bagmati Province
16.0
66.2
44.6
82.2
2,156
80.5
54.3
Urban
16.0
65.9
42.3
81.9
1,700
80.4
51.6
Rural
15.9
67.1
53.5
83.0
456
80.9
64.5
Gandaki Province
28.1
51.5
35.1
79.6
1,046
64.7
44.2
Urban
28.2
49.9
32.7
78.1
729
63.9
41.9
Rural
27.7
55.3
40.8
83.1
317
66.6
49.1
Lumbini Province
23.3
56.5
43.0
79.9
2,020
70.8
53.8
Urban
23.0
57.4
40.5
80.3
1,119
71.4
50.4
Rural
23.8
55.5
46.1
79.3
900
70.0
58.2
Karnali Province
23.4
55.3
45.9
78.6
691
70.3
58.4
Urban
22.1
56.2
45.0
78.2
381
71.8
57.5
Rural
25.0
54.1
47.1
79.1
310
68.4
59.5
Sudurpashchim Province
22.1
58.6
47.0
80.7
960
72.6
58.2
Urban
22.6
59.0
46.5
81.6
591
72.3
57.0
Rural
21.3
58.0
47.8
79.2
369
73.2
60.3
Education
No education
16.4
62.2
54.3
78.6
3,475
79.2
69.0
Basic education (18)
23.7
55.1
42.4
78.8
3,701
69.9
53.7
Lower basic education (15)
22.8
56.7
45.7
79.5
2,004
71.3
57.5
Upper basic education (68)
24.8
53.3
38.4
78.0
1,696
68.3
49.2
Secondary (912)
22.7
53.5
32.9
76.3
3,536
70.2
43.1
Lower secondary (910)
22.5
55.0
34.4
77.4
2,208
71.0
44.4
Higher secondary (1112)
23.2
51.2
30.4
74.4
1,328
68.9
40.9
More than secondary
(13 and above)
16.1
64.8
32.7
80.8
468
80.1
40.4
Wealth quintile
Lowest
24.7
54.3
44.7
79.0
2,031
68.7
56.5
Second
21.4
56.4
46.9
77.7
2,217
72.5
60.3
Middle
20.4
56.2
44.4
76.6
2,323
73.3
58.0
Fourth
20.9
56.6
38.7
77.6
2,381
73.0
49.9
Highest
16.9
62.5
39.0
79.4
2,228
78.7
49.2
Total
20.8
57.2
42.7
78.0
11,180
73.3
54.7
Note: Numbers in this table correspond to the revised definition of unmet need described in Bradley et al. 2012. An asterisk indicates that a figure
is based on fewer than 25 unweighted cases and has been suppressed.
1
Percentage of demand satisfied is met need divided by total demand.
2
Modern methods include female sterilization, male sterilization, IUCD, injectables, implants, pill, male condom, emergency contraception,
lactational amenorrhea method (LAM) and other modern methods.
3
Total demand is the sum of unmet need and met need.
22
Trends: There has been a decline in the unmet need for family planning from 32% in 1996 to 21% in 2022
(Figure 2). The decline in unmet need in the last decade is mainly due to the increased use of traditional
methods.
3.7 EARLY CHILDHOOD MORTALITY
Neonatal mortality: The probability of dying within the first month of life.
Postneonatal mortality: The probability of dying between the first month of
life and the first birthday (computed as the difference between infant and
neonatal mortality).
Infant mortality: The probability of dying between birth and the first birthday.
Child mortality: The probability of dying between the first and fifth birthday.
Under-5 mortality: The probability of dying between birth and the fifth
birthday.
The government of Nepals target for SDG 3.2.1, is to reduce the under-five mortality rate to 27 deaths per
1,000 live births by 2022 and to 20 deaths per 1,000 live births by 2030. Similarly, the governments target
for SDG 3.2.2, is to reduce the neonatal mortality rate to 16 deaths per 1,000 live births by 2022 and to 12
deaths per 1,000 live births by 2030 (National Planning Commission, 2020).
Table 8 presents estimates of early childhood mortality rates for three successive 5-year periods prior to
the 2022 NDHS. The rates are estimated directly from the information collected as part of a retrospective
pregnancy history, in which female respondents list all of the children to whom they have given birth,
along with each childs date of birth, survivorship status, and current age or age at death.
During the 5 years immediately preceding the survey, the overall under-5 mortality rate was 33 deaths
per 1,000 live births.
The infant mortality rate was 28 deaths per 1,000 live births. The child mortality rate was 5 deaths per
1,000 children surviving to age 12 months.
The neonatal mortality rate was 21 deaths per 1,000 live births, during the 5 years immediately
preceding the survey.
Eighty-five percent (85%) of all deaths among children under age 5 in Nepal take place before a
childs first birthday, with 64% occurring during the first month of life.
Table 8 Early childhood mortality rates
Neonatal, post-neonatal, infant, child, and under-5 mortality rates for 5-year periods
preceding the survey, Nepal DHS 2022
Years preceding
the survey
Neonatal
mortality
(NN)
Post-
neonatal
mortality
(PNN)
1
Infant
mortality
(
1
q
0
)
Child
mortality
(
4
q
1
)
Under-5
mortality
(
5
q
0
)
04
21
8
28
5
33
59
24
11
35
7
42
1014
36
13
48
10
58
1
Computed as the difference between the infant and neonatal mortality rates
23
Figure 3 Trends in early childhood mortality rates
Trends: Between the 1996 NFHS and the 2022 NDHS surveys, under-5 mortality declined from 118 to 33
deaths per 1,000 live births, infant mortality declined from 78 to 28 deaths per 1,000 live births, and
neonatal mortality declined from 50 to 21 deaths per 1,000 live births (Figure 3). Notably, however,
between the 2016 and 2022 NDHS the neonatal mortality did not change.
3.8 MATERNAL CARE
Proper care during pregnancy and delivery is important for the health of both the mother and the baby.
Table 9 presents key indicators related to maternal care.
3.8.1 Antenatal care
Antenatal care (ANC) from a skilled provider
Pregnancy care received from skilled providers, such as doctors, nurses, and
auxiliary nurse midwives.
Sample: Women age 1549 who had a live birth or stillbirth in the 2 years
preceding the survey
Antenatal care (ANC) from a skilled provider is important to monitor pregnancy and reduce morbidity and
mortality risks for the mother and child during pregnancy, at delivery, and during the postnatal period.
Ninety-four percent (94%) of women reported receiving antenatal care from a skilled provider for their
most recent live birth or stillbirth in the 2-year period preceding the survey.
Four in five women (81%) had at least four ANC visits for their most recent live birth.
Overall, 96% of women took iron-containing supplements during their most recent pregnancy.
Trends: The percentage of women who received antenatal care from skilled provider for their most recent
live birth in the 2 years preceding the survey increased from 25% in 1996 to 94% in 2022. Similarly, those
who made four or more ANC visits increased from 9% in 1996 to 81% in 2022.
118
91
61
54
39
33
78
64
48
46
32
28
50
39
33 33
21 21
1996
NFHS
2001
NDHS
2006
NDHS
2011
NDHS
2016
NDHS
2022
NDHS
Deaths per 1,000 live births in the 5-year
period preceding the survey
Under-5
mortality
Infant
mortality
Neonatal
mortality
24
3.8.2 Tetanus toxoid
Protection against neonatal tetanus
The number of tetanus toxoid injections needed to protect a baby from
neonatal tetanus depends on the mothers vaccinations. A birth is protected
against neonatal tetanus if the mother has received any of the following:
Two tetanus toxoid injections during the pregnancy
Two or more injections, the last one within 3 years of the birth
Three or more injections, the last one within 5 years of the birth
Four or more injections, the last one within 10 years of the birth
Five or more injections at any time prior to the birth
Sample: Women age 15-49 with a live birth in the 2 years preceding the
survey
Tetanus toxoid injections are given during pregnancy to prevent neonatal tetanus, a major cause of early
infant death in many developing countries. Neonatal tetanus is often caused by failure to observe hygienic
procedures during delivery.
Overall, 93% of women with a live birth in the 2 years preceding the survey received sufficient doses
of tetanus toxoid injections to protect their baby against neonatal tetanus.
Table 9 Maternal care indicators
Among women age 1549 who had a live birth and/or a stillbirth in the 2 years preceding the survey, percentage who received antenatal care (ANC) from a skilled provider
for the most recent live birth or stillbirth, percentage with four or more ANC visits for the most recent live birth or stillbirth, percentage who took any iron-containing supplements
during pregnancy, and percentage whose most recent live birth was protected against neonatal tetanus; among all live births and stillbirths in the 2 years before the survey,
percentage delivered by a skilled provider and percentage delivered in a health facility; and among women age 1549 with a live birth or stillbirth in the 2 years preceding
the survey, percentage who received a postnatal check during the first 2 days after giving birth, according to background characteristics, Nepal DHS 2022
Women who had a live birth and/or a stillbirth in the 2 years
preceding the survey
Live births and stillbirths in the 2 years
preceding the survey
Women who had a live
birth and/or a stillbirth in
the 2 years preceding
the survey
Background
characteristic
Percentage
receiving
antenatal
care from a
skilled
provider
1
Percentage
with 4+ ANC
visits
Percentage
who took
any iron-
containing
supple-
ments
during
pregnancy
2
Percentage
whose most
recent live
birth was
protected
against
neonatal
tetanus
3
Number of
women
Percentage
delivered by
a skilled
provider
1
Percentage
delivered in
a health
facility
Number of
births
Percentage
of women
with a
postnatal
check
during the
first 2 days
after birth
4
Number of
women
LIVE BIRTHS
Mothers age at birth
<20
94.5
75.0
96.9
91.3
353
80.1
79.3
365
65.3
353
2034
94.5
82.2
96.1
93.6
1,504
80.1
79.4
1,535
71.9
1,504
3549
90.6
71.1
91.3
81.6
76
80.0
78.5
79
60.7
76
Ethnic group
Brahmin/Chhetri
96.0
90.4
98.6
93.0
499
86.5
86.9
504
75.4
499
Dalit
92.0
71.4
94.5
93.7
359
70.9
70.1
373
64.2
359
Janajati
91.8
83.9
96.6
88.6
588
83.9
83.3
605
74.0
588
Madhesi
98.0
72.7
94.3
96.6
354
77.5
76.0
358
64.0
354
Muslim
96.3
73.3
93.0
96.2
131
70.8
67.3
136
66.4
131
Others
*
*
*
*
2
*
*
2
*
2
Residence
Urban
94.2
79.5
96.0
92.8
1,266
81.4
80.9
1,295
71.6
1,266
Rural
94.6
82.4
96.2
92.5
666
77.5
76.4
684
67.6
666
Ecological zone
Mountain
93.5
90.5
98.6
92.0
129
76.6
75.4
133
63.8
129
Hill
94.0
86.5
96.1
89.7
639
81.0
81.6
648
70.1
639
Terai
94.6
76.0
95.8
94.4
1,166
79.9
78.6
1,198
71.0
1,166
Continued…
25
Table 9Continued
Women who had a live birth and/or a stillbirth in the 2 years
preceding the survey
Live births and stillbirths in the 2 years
preceding the survey
Women who had a live
birth and/or a stillbirth in
the 2 years preceding
the survey
Background
characteristic
Percentage
receiving
antenatal
care from a
skilled
provider
1
Percentage
with 4+ ANC
visits
Percentage
who took
any iron-
containing
supple-
ments
during
pregnancy
2
Percentage
whose most
recent live
birth was
protected
against
neonatal
tetanus
3
Number of
women
Percentage
delivered by
a skilled
provider
1
Percentage
delivered in
a health
facility
Number of
births
Percentage
of women
with a
postnatal
check
during the
first 2 days
after birth
4
Number of
women
Province
Province 1
90.4
78.8
96.7
90.4
358
81.8
81.5
368
77.3
358
Urban
89.6
77.2
95.4
89.8
232
84.5
83.7
242
78.5
232
Rural
91.8
81.8
99.1
91.7
126
76.6
77.3
126
75.1
126
Madhesh Province
96.0
68.4
93.5
95.4
500
67.9
66.6
515
57.8
500
Urban
95.3
66.9
93.6
95.2
367
67.6
66.6
377
55.1
367
Rural
97.9
72.3
93.3
96.0
132
68.7
66.9
138
65.4
132
Bagmati Province
93.4
88.8
96.3
88.6
295
86.6
88.3
299
73.9
295
Urban
95.9
92.5
98.2
89.4
216
90.7
91.9
219
81.3
216
Rural
86.6
78.8
91.0
86.2
79
75.5
78.6
81
53.6
79
Gandaki Province
96.7
84.6
97.5
92.5
117
89.2
87.7
117
76.4
117
Urban
100.0
84.7
98.7
94.5
76
96.6
94.9
76
81.6
76
Rural
90.5
84.2
95.1
88.7
40
75.2
74.0
40
66.5
40
Lumbini Province
96.8
86.9
97.2
95.7
329
86.9
84.4
335
77.2
329
Urban
96.0
86.5
96.8
96.4
185
85.0
83.7
187
77.5
185
Rural
97.8
87.5
97.6
94.8
145
89.3
85.4
148
77.0
145
Karnali Province
91.0
79.1
95.4
91.8
149
72.3
72.5
153
57.9
149
Urban
88.0
74.5
93.3
92.1
73
76.1
75.8
75
63.3
73
Rural
94.0
83.6
97.4
91.6
76
68.6
69.3
78
52.7
76
Sudurpashchim Province
95.9
90.0
99.1
91.9
185
87.8
86.8
192
77.7
185
Urban
94.2
87.8
99.5
91.5
117
89.6
90.0
120
81.3
117
Rural
98.8
93.6
98.5
92.7
69
84.9
81.5
72
71.6
69
Mothers education
No education
92.8
67.2
90.7
90.5
357
60.9
59.6
367
55.9
357
Basic education (18)
92.8
75.7
95.0
91.6
656
74.8
73.9
678
64.4
656
Lower basic education (15)
92.1
71.2
92.9
91.2
332
69.3
68.2
341
59.7
332
Upper basic education (68)
93.5
80.2
97.2
92.0
325
80.4
79.7
337
69.2
325
Secondary (912)
95.6
88.6
98.9
94.5
828
90.9
90.1
843
78.6
828
Lower secondary (910)
94.6
85.7
98.9
93.5
497
88.6
88.1
505
74.7
497
Higher secondary (1112)
97.2
92.9
98.8
96.0
332
94.3
93.1
337
84.4
332
More than secondary
(13 and above)
99.7
93.4
98.9
92.5
91
96.2
100.0
91
91.9
91
Wealth quintile
Lowest
90.5
74.5
92.6
89.5
431
67.0
65.8
445
55.5
431
Second
92.9
76.7
96.1
92.2
432
73.1
73.2
443
65.4
432
Middle
97.0
77.7
96.0
91.3
381
81.2
79.6
388
71.4
381
Fourth
94.7
84.5
97.5
96.7
386
88.0
86.9
397
77.7
386
Highest
98.1
92.6
99.2
94.6
303
97.4
97.6
306
87.1
303
Total
94.3
80.5
96.1
92.7
1,933
80.1
79.3
1,979
70.2
1,933
STILLBIRTHS
Total
*
*
*
na
17
*
*
17
*
17
LIVE BIRTHS AND STILLBIRTHS
5
Total
94.3
80.2
96.0
na
1,949
80.1
79.3
1,995
70.3
1,949
Note: If more than one source of assistance was mentioned, only the provider with the highest qualifications is considered in this tabulation. An asterisk indicates that a
figure is based on fewer than 25 unweighted cases and has been suppressed.
na = not applicable
1
Skilled provider includes doctor, nurse, and auxiliary midwife.
2
Iron tablets or syrup.
3
Includes mothers with two injections during the pregnancy of her most recent live birth, or two or more injections (the last within 3 years of the most recent live birth), or
three or more injections (the last within 5 years of the most recent live birth), or four or more injections (the last within 10 years of the most recent live birth), or five or more
injections at any time prior to the last live birth.
4
Includes women who received a check from a doctor, nurse, auxiliary nurse midwife, health assistant, auxiliary health worker, female community health worker, or traditional
birth attendant.
5
For women who had both a live birth and a stillbirth in the 2 years preceding the survey, data on antenatal care and postnatal checks are tabulated for the most recent birth
only.
Trends: The percentage of women whose most recent live birth was protected against neonatal tetanus
increased from 84% in 2006 to 93% in 2022.
26
3.8.3 Delivery care
Institutional deliveries
Deliveries that occur in a health facility.
Sample: All live births and/or stillbirths in the 2 years preceding the survey
Skilled assistance during delivery
Births delivered with the assistance of a doctor, nurse, or midwife.
Sample: All live births and/or stillbirths in the 2 years preceding the survey
Access to proper medical attention and hygienic conditions during delivery can reduce the risk of
complications and infections that may lead to death or serious illness for the mother and/or baby (Van
Lerberghe and De Brouwere 2001; WHO 2006a). The government of Nepals target for SDG 3.1.2, is that
73% of births are delivered with assistance from skilled provider by 2022 and achieve 90% by 2030
(National Planning Commission 2020).
Overall, 79% of live births and still births in the 2 years preceding the survey were delivered in health
facilities.
Four in five (80%) live births and stillbirths were delivered by skilled providers.
Trends: The percentage of live births that are assisted by a skilled provider has increased markedly, from
10% in 1996 to 80% in 2022) (Figure 4).
Figure 4 Trends in delivery assistance
3.8.4 Postnatal care for the mother
A large proportion of maternal and neonatal deaths occur during the first 48 hours after delivery. Thus,
prompt postnatal care (PNC) for both the mother and the child is important to treat any complications
arising from the delivery, as well as to provide the mother with important information on how to care for
herself and her child. Safe motherhood programs recommend that all women receive a health check during
the first 2 days after birth.
Overall, 70% of women with a live birth or stillbirth in the 2 years preceding the survey received a
postnatal check within the 2 days after delivery.
Among women with a live birth, women in the lowest wealth quintile are less likely to receive
postnatal check within 2 days after delivery than women in the highest wealth quintile (56% versus
87%).
10
13
22
43
65
80
1996
NFHS
2001
NDHS
2006
NDHS
2011
NDHS
2016
NDHS
2022
NDHS
Percentage of live births in the 2 years
preceding the survey delivered by a skilled
provider
27
3.9 VACCINATION COVERAGE
Universal immunization of children against common vaccine-preventable diseases is crucial to reducing
infant and child morbidity and mortality. In Nepal, routine childhood vaccines include bacillus Calmette-
Guérin (BCG) (tuberculosis); oral polio vaccine (OPV) and fractional inactivated poliomyelitis vaccine
(fIPV); pentavalent or DPT-HepB-Hib (diphtheria, pertussis, tetanus, hepatitis B, and Haemophilus
influenzae type b); pneumococcal conjugate vaccine (PCV); rotavirus vaccine (RV); Japanese encephalitis
(JE) vaccine; and measles rubella (MR) vaccine. The rotavirus vaccine was introduced into the routine
schedule in July 2020. The Nepal Health Sector Strategy 201622 target for vaccination coverage specifies
that 95% of children age 1223 months should be covered for all vaccines included in the national program
by 2030 (Ministry of Health and Population, 2022).
Information on vaccination coverage was obtained in two ways in the 2022 NDHS: (1) written vaccination
records, including vaccination or health cards, and (2) verbal reports from the mother. In the survey, the
vaccination card was observed for 79% of children age 1223 months (data not shown).
3.9.1 Basic antigen coverage
Fully vaccinatedbasic antigens
Percentage of children who received specific vaccines at any time before the
survey (according to a vaccination card or the mothers report). To have
received all the basic antigens in Nepal, a child must receive at least:
One dose of BCG vaccine, which protects against tuberculosis
Three doses of polio vaccine given as oral polio vaccine (OPV)
Three doses of DPT-containing vaccine, which protects against diphtheria,
pertussis (whooping cough), and tetanus
One dose of measles-containing vaccine given as measles rubella (MR)
Sample: Children age 1223 months
Historically, an important measure of vaccination coverage has been the proportion of children receiving
all basic antigens. Children are considered fully vaccinated against all basic antigens if they have
received the BCG vaccine, three doses each of polio vaccine and DTP-containing vaccine, and a single
dose of measles-containing vaccine. In Nepal, the BCG vaccine is usually given at birth or at first clinic
contact, while the polio and DPT-containing vaccines are given at approximately age 6, 10, and 14 weeks.
A first measles-containing vaccination (MR) should be given at or soon after age 9 months.
Overall, 80% of children age 1223 months are fully vaccinated with basic antigens (Table 10).
Ninety-five percent (95%) of children age 1223 months received BCG vaccine, 89% received the
third dose of DTP-HepB-Hib, 86% received the third dose of OPV, and 89% received a dose of MR.
28
3.9.2 Vaccination coverage according to the national schedule
A second measure of vaccination coverage is the percentage of children age 1223 months who are fully
vaccinated according to the national schedule. In this report, a child age 1223 months is considered fully
vaccinated according to the national schedule if the child has received all the basic antigens as well as two
doses of fractional IPV (fIPV), three doses of HepB and Hib (given as part of DPT-containing vaccine),
three doses PCV, two doses of RV, and one dose of JE vaccine.
Slightly more than half of the children age 1223 months (52%) are fully vaccinated according to the
national schedule.
Eighty-five percent (85%) of children received the second dose of fIPV, 81% received the third dose
of PCV, 72% received the 2
nd
dose of RV, and 81% received a dose of JE vaccine.
Four percent (4%) of children age 1223 months have received no vaccinations.
Trends: The percentage of children age 1223 months who are fully vaccinated (received all the basic
antigens) has fluctuated over time, rising from 43% in 1996 to a peak of 87% in 2011, then decreasing to
78% in 2016, and increasing slightly to 80% in 2022 (Figure 5). The percentage of children age 1223
months who did not receive any vaccinations has also fluctuated, notably increasing slightly from 1% in
2016 to 4% in 2022.
Figure 5 Trends in childhood vaccinations
43
66
83
87
78
80
20
1
3
3
1
4
1996
NFHS
2001
NDHS
2006
NDHS
2011
NDHS
2016
NDHS
2022
NDHS
Percentage of children age 1223 months
No vaccinations
Fully vaccinated
(basic antigens)
29
Table 10 Childhood vaccinations by background characteristics
Percentage of children age 1223 months who received specific vaccines at any time before the survey (according to a vaccination card or the mothers report), percentage fully vaccinated (basic antigens), percentage fully vaccinated
(according to national schedule), and percentage who received no vaccinations, according to background characteristics, Nepal DHS 2022
Background
characteristic
BCG
DPT-HepB-Hib
OPV
2
fIPV
Pneumococcal
Rotavirus
Measles
rubella 1
Japanese
encepha-
litis
Fully vacci-
nated
(basic
antigens)
1
Fully vacci-
nated
(according
to national
schedule)
2
No vacci-
nations
Number of
children
1
2
3
1
2
3
1
2
1
2
3
1
2
Sex
Male
95.5
95.3
93.8
90.0
95.3
93.6
87.5
91.4
86.0
93.5
91.4
81.9
79.0
72.4
90.4
84.6
81.5
54.7
4.3
486
Female
94.8
94.1
93.1
88.2
94.6
92.2
83.6
91.7
84.2
93.1
90.3
79.0
76.6
71.1
86.6
77.1
78.4
49.4
4.5
474
Birth order
1
95.0
94.8
94.2
90.8
94.7
93.2
86.4
91.1
86.2
93.4
91.2
83.1
78.5
72.4
90.6
84.4
81.8
54.9
4.9
401
23
95.7
95.4
93.9
89.9
95.6
94.1
88.0
93.1
87.1
93.8
91.3
80.2
77.4
71.0
89.5
80.2
81.3
51.4
3.5
463
45
92.8
89.9
86.8
79.8
91.8
85.1
71.0
84.8
69.9
89.4
86.1
70.8
74.8
70.9
73.8
65.8
66.2
39.6
7.2
80
6+
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
15
Vaccination card
3
Seen
99.4
99.4
98.5
95.4
99.3
97.8
92.1
96.4
89.1
99.2
97.4
88.6
83.5
76.8
93.9
85.2
87.9
58.1
0.2
752
Not seen or no longer has
82.9
80.9
78.4
69.4
82.3
78.7
64.7
77.8
74.1
74.9
70.1
53.3
59.7
55.8
72.0
67.8
53.6
31.3
17.1
195
Never had
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
11
Residence
Urban
94.8
94.8
93.7
89.0
95.1
93.2
85.3
92.1
85.8
93.1
91.2
81.1
78.7
71.8
89.1
81.6
79.8
52.6
4.7
623
Rural
95.9
94.5
93.0
89.2
94.7
92.3
86.1
90.4
83.9
93.7
90.1
79.2
76.3
71.8
87.4
79.6
80.3
51.1
3.8
336
Ecological zone
Mountain
99.3
98.6
98.6
95.3
98.0
97.4
92.6
94.7
92.6
95.3
93.1
87.4
80.4
74.5
94.4
85.6
89.1
60.3
0.7
68
Hill
93.6
92.6
92.2
90.3
93.0
92.2
87.9
90.6
87.2
92.0
91.0
85.3
77.9
73.3
90.6
84.7
84.3
58.7
6.0
301
Terai
95.5
95.3
93.5
87.8
95.5
92.8
83.6
91.7
83.2
93.7
90.5
77.2
77.5
70.7
86.8
78.4
76.7
47.7
4.0
591
Province
Province 1
94.3
93.2
93.2
91.9
93.3
89.9
81.5
89.4
84.2
88.9
85.7
75.7
72.4
68.4
91.8
78.7
80.8
45.0
5.7
168
Urban
93.9
93.9
93.9
92.6
93.9
89.9
84.3
90.1
86.1
89.4
86.4
74.8
73.7
71.8
91.5
78.8
83.3
49.6
6.1
106
Rural
95.2
91.9
91.9
90.8
92.3
89.9
76.7
88.0
81.1
88.0
84.5
77.4
70.0
62.6
92.3
78.6
76.7
37.2
4.8
61
Madhesh Province
95.0
94.8
90.8
82.4
95.4
91.6
76.7
89.2
76.5
93.1
88.1
70.4
77.6
68.0
80.9
74.4
67.7
41.9
4.0
269
Urban
95.1
95.2
92.0
84.3
96.0
93.4
76.6
90.5
78.3
92.9
88.8
72.4
80.6
70.2
83.4
77.0
68.9
42.4
4.0
206
Rural
94.8
93.5
86.9
76.0
93.4
85.8
77.2
84.8
70.6
93.5
85.6
63.9
67.8
60.7
72.8
65.7
63.7
40.5
4.0
63
Bagmati Province
90.7
90.1
89.6
87.9
90.1
89.6
89.1
89.1
87.0
89.6
88.6
84.1
75.0
69.9
85.0
81.4
83.4
60.3
9.3
134
Urban
(92.1)
(92.1)
(92.1)
(90.3)
(92.1)
(92.1)
(92.1)
(92.1)
(92.1)
(92.1)
(92.1)
(86.8)
(75.6)
(69.7)
(87.5)
(84.3)
(85.7)
(62.1)
(7.9)
90
Rural
87.8
86.1
84.4
83.1
86.1
84.4
83.1
82.9
76.5
84.5
81.5
78.5
73.9
70.2
79.8
75.5
78.5
56.6
12.2
44
Gandaki Province
100.0
99.0
99.0
99.0
100.0
100.0
96.8
99.0
98.0
99.0
99.0
93.5
89.8
89.8
97.6
95.2
93.4
79.2
0.0
51
Urban
(100.0)
(100.0)
(100.0)
(100.0)
(100.0)
(100.0)
(96.8)
(100.0)
(100.0)
(100.0)
(100.0)
(100.0)
(87.9)
(87.9)
(100.0)
(94.7)
(96.8)
(82.0)
(0.0)
27
Rural
(100.0)
(97.9)
(97.9)
(97.9)
(100.0)
(100.0)
(96.7)
(97.9)
(95.8)
(97.9)
(97.9)
(86.0)
(92.0)
(92.0)
(94.8)
(95.8)
(89.4)
(75.9)
(0.0)
24
Lumbini Province
96.6
96.6
96.6
90.8
96.6
96.0
92.3
94.6
89.7
96.6
96.1
88.6
83.7
77.1
92.5
85.1
85.3
57.6
3.4
172
Urban
96.2
96.2
96.2
87.9
96.2
95.0
90.6
95.1
88.9
96.2
96.2
90.6
83.4
72.6
92.8
85.4
82.2
56.8
3.8
96
Rural
97.2
97.2
97.2
94.4
97.2
97.2
94.4
94.0
90.8
97.2
95.9
86.1
84.1
82.8
92.1
84.7
89.2
58.6
2.8
76
Karnali Province
96.5
95.4
94.9
92.1
95.5
93.4
87.8
90.8
86.2
93.6
91.8
83.9
74.4
71.2
91.9
83.2
84.3
55.8
2.9
79
Urban
92.9
91.8
90.7
89.6
92.0
89.8
86.1
87.2
82.8
88.1
88.1
83.8
74.0
69.4
92.9
85.8
85.0
60.0
5.9
39
Rural
100.0
98.9
98.9
94.5
98.9
96.9
89.3
94.3
89.4
98.9
95.3
84.1
74.8
72.9
90.9
80.8
83.6
51.7
0.0
40
Sudurpashchim Province
97.2
97.3
97.3
94.5
97.2
97.2
93.8
97.2
93.1
97.8
96.6
88.3
77.9
72.2
95.0
85.7
88.8
54.0
1.5
87
Urban
95.9
96.7
96.7
94.0
96.7
96.7
93.2
96.7
92.1
96.7
96.7
88.8
76.8
72.9
94.1
83.4
87.2
53.6
2.2
59
Rural
100.0
98.5
98.5
95.5
98.4
98.4
95.0
98.4
95.1
100.0
96.5
87.2
80.2
70.8
96.9
90.6
92.1
54.8
0.0
28
Continued…
30
Table 10Continued
Background
characteristic
BCG
DPT-HepB-Hib
OPV
2
fIPV
Pneumococcal
Rotavirus
Measles
rubella 1
Japanese
encepha-
litis
Fully vacci-
nated
(basic
antigens)
1
Fully vacci-
nated
(according
to national
schedule)
2
No vacci-
nations
Number of
children
1
2
3
1
2
3
1
2
1
2
3
1
2
Mothers education
No education
92.6
92.0
89.7
79.7
93.2
89.0
76.0
87.8
76.7
89.2
85.3
66.2
76.7
68.6
75.9
68.6
65.8
38.8
6.1
197
Basic education (18)
94.5
93.8
92.5
88.6
93.7
91.9
85.4
90.4
83.5
92.5
90.0
81.7
76.7
71.1
88.0
78.9
80.5
50.6
5.3
338
Lower basic education (15)
93.8
92.8
90.2
84.2
92.3
89.5
82.7
90.0
83.3
92.1
88.0
79.7
76.0
67.1
84.6
73.6
77.1
47.7
5.9
168
Upper basic education (68)
95.2
94.7
94.7
93.1
95.0
94.3
88.0
90.8
83.8
92.9
91.9
83.8
77.4
75.1
91.3
84.2
83.8
53.5
4.8
171
Secondary (912)
97.4
97.1
96.8
94.4
97.2
96.3
90.4
94.9
90.5
96.5
95.1
86.3
79.5
74.2
95.1
88.3
86.3
58.8
2.3
385
Lower secondary (910)
97.2
97.0
97.0
93.5
96.7
95.3
88.9
94.1
89.5
96.0
94.2
87.5
78.2
71.8
96.1
87.9
85.7
56.6
2.5
234
Higher secondary (1112)
97.6
97.3
96.3
95.8
97.9
97.9
92.9
96.1
92.0
97.3
96.3
84.5
81.5
78.0
93.6
88.9
87.2
62.2
2.1
150
More than secondary
(13 and above)
(91.7)
(91.7)
(87.8)
(87.8)
(91.7)
(88.1)
(88.1)
(88.1)
(88.1)
(88.1)
(84.1)
(84.1)
(76.6)
(69.0)
(91.7)
(87.6)
(84.1)
(64.9)
(8.3)
39
Wealth quintile
Lowest
93.5
91.7
90.1
85.2
92.3
88.5
81.5
87.6
79.6
89.7
85.7
76.3
76.1
70.8
85.7
78.5
75.8
50.0
6.0
233
Second
92.6
92.9
90.8
85.6
92.9
91.0
79.9
89.3
83.0
91.7
89.0
77.5
76.9
69.1
84.0
73.1
74.1
45.1
6.7
224
Middle
98.1
97.9
97.5
92.9
97.9
96.7
89.3
93.9
85.5
95.3
93.7
85.2
81.4
73.0
92.9
82.6
85.0
55.1
1.7
180
Fourth
97.0
96.5
96.5
92.3
97.0
95.7
90.3
95.0
90.9
96.5
95.3
81.2
79.4
77.2
92.0
87.5
85.2
57.1
2.6
193
Highest
96.0
96.0
93.6
92.0
96.0
94.9
90.5
94.0
89.4
94.9
92.5
85.4
75.1
68.2
90.2
86.4
82.8
55.9
4.0
129
Total
95.2
94.7
93.4
89.1
94.9
92.9
85.6
91.5
85.1
93.3
90.8
80.5
77.8
71.8
88.5
80.9
80.0
52.1
4.4
959
Note: Children are considered to have received the vaccine if it was either written on the childs vaccination card or reported by the mother. For children whose vaccination information is based on the mothers report, date of vaccination
is not collected. The proportions of vaccinations given during the first and second years of life are assumed to be the same as for children with a written record of vaccination. This table does not present results for children age 2435
months on their status on fully vaccinated according to national schedule as rotavirus vaccine was introduced in July 2020 and most of these children would not have received this vaccine. Figures in parentheses are based on 2549
unweighted cases. An asterisk indicates that a figure is based on fewer than 25 unweighted cases and has been suppressed.
BCG = Bacille Calmette-Guérin; DPT = Diphtheria-pertussis-tetanus; HepB = Hepatitis B; Hib = Haemophilus influenzae type b; OPV = Oral polio vaccine; fIPV = Fractional inactivated poliomyelitis vaccine
1
BCG, three doses of DPT-HepB-Hib (pentavalent), three doses of OPV, and one dose of measles rubella
2
BCG, three doses of DPT-HepB-Hib, three doses of OPV, two doses of fIPV, three doses of pneumococcal vaccine, two doses of rotavirus vaccine, one dose of measles rubella, and one dose of Japanese encephalitis
3
Vaccination card, booklet, or other home-based record
31
3.10 CARESEEKING AND TREATMENT OF CHILD ILLNESS
Acute respiratory infection (ARI), fever, and dehydration from diarrhea are important contributing causes
of childhood morbidity and mortality in developing countries (WHO 2003). Prompt medical attention
when a child has the symptoms of these illnesses is, therefore, crucial in reducing child deaths. Table 11
presents information on careseeking for ill children in Nepal. Overall, 1% of children under age 5 showed
symptoms of an ARI, 23% exhibited fever, and 10% experienced diarrhea in the 2 weeks preceding the
survey (data not shown).
Advice or treatment was sought for 75% of children with symptoms of ARI in the 2 weeks before the
survey (Table 11).
Advice or treatment was sought for 78% of children with fever in the 2 weeks before the survey.
Advice or treatment was sought for 57% of children with diarrhea in the 2 weeks before the survey.
Thirty-eight percent (38%) of children with diarrhea received oral rehydration salts (ORS), 18%
received zinc supplements, 11% received ORS and zinc supplements, and 10% received ORS, zinc
supplements, and continued feeding.
Table 11 Treatment for ARI symptoms, fever, and diarrhea
Among children under age 5 who had symptoms of acute respiratory infection (ARI) or had fever during the 2 weeks preceding the survey, percentage for whom advice or
treatment was sought; and among children under age 5 who had diarrhea during the 2 weeks preceding the survey, percentage for whom advice or treatment was sought,
percentage given a fluid made from oral rehydration salt (ORS) packet or given pre-packaged ORS fluid, percentage given zinc, percentage given ORS and zinc, and
percentage given ORS, zinc, and continued feeding, according to background characteristics, Nepal DHS 2022
Children with symptoms
of ARI
1
Children with fever
Children with diarrhea
Background
characteristic
Percentage
for whom
advice or
treatment
was sought
2
Number of
children
Percentage
for whom
advice or
treatment
was sought
2
Number of
children
Percentage
for whom
advice or
treatment
was sought
2
Percentage
given fluid
from ORS
packet or
pre-
packaged
ORS fluid
Percentage
given zinc
Percentage
given ORS
and zinc
Percentage
given ORS,
zinc, and
continued
feeding
3
Number of
children
Age in months
<6
*
9
78.9
96
55.1
7.1
19.2
3.2
3.2
68
611
*
9
80.5
118
53.2
25.0
16.6
6.6
4.7
76
1223
*
13
78.9
233
55.9
37.5
19.2
11.2
11.2
126
2435
*
11
79.2
259
63.5
54.5
13.0
10.4
10.4
103
3647
(70.5)
19
76.8
259
60.7
55.9
27.3
21.8
21.8
71
4859
*
12
74.9
193
52.7
42.8
14.4
10.7
10.7
81
Sex
Male
(83.5)
35
78.0
624
58.3
41.4
15.9
9.2
8.7
281
Female
(66.3)
38
77.9
535
55.6
35.0
20.3
12.4
12.4
243
Residence
Urban
(71.4)
43
79.9
765
56.5
39.4
17.3
10.1
9.8
364
Rural
79.3
30
74.3
394
58.3
36.2
19.4
12.1
11.8
161
Ecological zone
Mountain
*
4
71.3
64
(50.8)
(54.6)
(15.5)
(13.4)
(13.4)
22
Hill
(78.3)
31
69.2
455
53.2
47.3
15.2
12.8
12.5
166
Terai
(69.8)
38
84.9
639
59.4
32.9
19.4
9.5
9.2
336
Province
Province 1
*
14
76.2
221
48.7
38.0
16.2
9.6
9.6
95
Urban
*
12
76.5
150
(52.0)
(42.3)
(18.9)
(11.1)
(11.1)
71
Rural
*
2
75.4
71
(38.7)
(25.0)
(8.1)
(4.9)
(4.9)
23
Madhesh Province
*
14
88.7
267
56.8
35.9
17.4
7.6
7.6
135
Urban
*
5
88.7
188
59.3
40.4
19.8
8.0
8.0
99
Rural
*
9
88.8
79
(49.9)
(23.5)
(10.8)
(6.4)
(6.4)
36
Bagmati Province
*
11
75.5
174
58.8
39.6
8.6
8.6
8.6
106
Urban
*
8
81.5
137
(60.0)
(38.7)
(7.0)
(7.0)
(7.0)
88
Rural
*
3
53.3
37
(52.8)
(44.0)
(16.3)
(16.3)
(16.3)
18
Gandaki Province
*
5
72.1
86
(48.7)
(23.1)
(2.3)
(0.0)
(0.0)
26
Urban
*
4
72.8
59
*
*
*
*
*
15
Rural
*
1
70.5
27
*
*
*
*
*
10
Lumbini Province
*
7
78.5
198
65.0
36.9
28.8
16.6
15.5
84
Urban
*
2
82.3
112
(52.2)
(33.9)
(22.6)
(14.5)
(12.3)
45
Rural
*
5
73.6
87
(79.7)
(40.4)
(35.9)
(19.1)
(19.1)
39
Karnali Province
(94.1)
14
70.2
104
56.4
53.9
23.8
18.0
18.0
38
Urban
*
6
70.0
52
(54.3)
(47.0)
(24.0)
(16.3)
(16.3)
22
Rural
*
8
70.4
52
(59.2)
(62.8)
(23.6)
(20.2)
(20.2)
17
Sudurpashchim Province
*
9
70.5
109
62.6
43.0
30.3
16.9
15.7
40
Urban
*
6
69.4
67
(67.2)
(44.3)
(36.0)
(19.6)
(19.6)
23
Rural
*
3
72.2
42
(56.3)
(41.3)
(22.6)
(13.2)
(10.4)
17
Continued…
32
Table 11Continued
Children with symptoms
of ARI
1
Children with fever
Children with diarrhea
Background
characteristic
Percentage
for whom
advice or
treatment
was sought
2
Number of
children
Percentage
for whom
advice or
treatment
was sought
2
Number of
children
Percentage
for whom
advice or
treatment
was sought
2
Percentage
given fluid
from ORS
packet or
pre-
packaged
ORS fluid
Percentage
given zinc
Percentage
given ORS
and zinc
Percentage
given ORS,
zinc, and
continued
feeding
3
Number of
children
Mothers education
No education
*
14
82.0
218
59.8
38.1
16.2
7.6
7.2
124
Basic education (18)
(74.3)
28
77.0
400
55.0
42.2
19.1
12.1
12.1
191
Lower basic education (15)
*
13
77.2
201
54.0
37.6
18.8
11.6
11.6
100
Upper basic education (68)
*
14
76.8
199
56.0
47.3
19.4
12.7
12.7
91
Secondary (912)
(67.0)
28
77.5
490
54.7
33.5
18.9
12.1
11.6
194
Lower secondary (910)
*
17
78.6
290
53.3
28.3
17.9
9.5
9.5
125
Higher secondary (1112)
*
11
76.0
200
57.1
43.1
20.6
17.0
15.6
68
More than secondary
(13 and above)
*
3
(72.8)
50
*
*
*
*
*
16
Wealth quintile
Lowest
(85.9)
23
68.4
264
49.0
43.5
17.7
14.4
14.0
107
Second
*
15
73.7
261
64.9
41.8
20.9
11.6
11.6
118
Middle
*
15
82.4
249
53.5
34.5
16.8
6.5
6.5
133
Fourth
*
11
88.5
228
56.0
30.7
15.0
8.0
7.0
107
Highest
*
10
79.1
156
(66.2)
(45.3)
(20.4)
(16.7)
(16.7)
59
Total
74.6
73
78.0
1,159
57.1
38.4
17.9
10.7
10.4
524
Note: Figures in parentheses are based on 2549 unweighted cases. An asterisk indicates that a figure is based on fewer than 25 unweighted cases and has been
suppressed.
1
Symptoms of ARI include short, rapid breathing which was chest-related and/or difficult breathing which was chest-related.
2
Includes advice or treatment from the following sources: government sector, private sector, non-government sector, and shop. Excludes advice or treatment from a
traditional practitioner.
3
Continued feeding includes children who were given more, same as usual, or somewhat less food during the diarrhea episode.
3.11 CHILD NUTRITIONAL STATUS
Anthropometry is commonly used to measure child nutritional status. Anthropometric measurements are
used to report on child growth indicators. The distribution of height and weight for children under age 5 is
compared with the World Health Organization growth standard reference population (WHO 2006b). The
distribution of children in a well-nourished population will be similar to the reference population, while the
distribution of children in a poorly nourished population will not. In DHS surveys, the anthropometric
indices height-for-age (stunting), weight-for-height (wasting), and weight-for-age (underweight) are used
to measure nutritional status in young children. The three indices can be expressed in standard deviation
units (z scores) from the median of the reference population. Values that are more than two standard
deviations below (-2 SD) the median of the WHO Child Growth Standards population are used to define
undernutrition. Each of the indices provides different information about growth and body composition that
can be used to assess nutritional status.
Stunting (assessed via height-for-age)
Height-for-age is a measure of growth faltering. Children whose height-for-age
z score is below minus two standard deviations (-2 SD) from the median of the
reference population are considered short for their age (stunted). Children who
are below minus three standard deviations (-3 SD) are considered severely
stunted.
Sample: Children under age 5
Wasting (assessed via weight-for-height)
The weight-for-height index measures body mass in relation to body height (or
length) and describes acute undernutrition. Children whose z score is below
minus two standard deviations (-2 SD) from the median of the reference
population are considered thin (wasted). Children whose weight-for-height z
score is below minus three standard deviations (-3 SD) from the median of the
reference population are considered severely wasted.
Sample: Children under age 5
33
Underweight (assessed via weight-for-age)
Weight-for-age is a composite index of height-for-age and weight-for-height
that takes into account both wasting and stunting. Children whose weight-for-
age z score is below minus two standard deviations (-2 SD) from the median
of the reference population are classified as underweight. Children whose
weight-for-age z score is below minus three standard deviations (-3 SD) from
the median are considered severely underweight.
Sample: Children under age 5
Overweight (assessed via weight-for-height)
Children whose weight-for-height z score is more than two standard deviations
(+2 SD) above the median of the reference population are considered
overweight.
Sample: Children under age 5
In the 2022 NDHS, height and weight measurements were obtained for 2,765 children under age 5; the
percentages with valid data for height-for-age, weight-for-height, and weight-for-age were 97%, 97%, and
98%, respectively.
The government of Nepals target for SDG 2.1.1 is that the prevalence of stunting (height-for-age) among
children under 5 years be at or below 29% by 2022, and at or below 15% by 2030. Similarly, the target for
SDG 2.2.2, the prevalence of wasting (height-for-weight) among children under 5 years, is 7% by 2022
and 4% by 2030 (National Planning Commission 2020).
Table 12 shows the nutritional status of children under age 5, according to the three anthropometric
indices: 25% of children under age 5 are stunted, 8% are wasted, and 19% are underweight. One percent of
children under 5 are overweight.
Trends: The prevalence of stunting has declined from 57% in 1996 to 25% in 2022 (Figure 6). During
this same period, the prevalence of wasting declined from 15% to 8%, and the prevalence of overweight
was steady at 1%.
Figure 6 Trends in nutritional status of children
57
57
49
41
36
25
15
11
13
11
10
8
1
1
1
1
1
1
1
1996
NFHS
2001
NDHS
2006
NDHS
2011
NDHS
2016
NDHS
2022
NDHS
Percentage of children under age 5 who
are malnourished
Stunted
Over-
weight
Wasted
34
Table 12 Nutritional status of children
Percentage of children under age 5 classified as malnourished according to three anthropometric indices of child growth: height-for-age, weight-for-height, and weight-
for-age, according to background characteristics, Nepal DHS 2022
Height-for-age
1
Weight-for-height
Weight-for-age
Background
characteristic
Percent-
age
below
-3 SD
Percent-
age
below
-2 SD
2
Mean z
score
(SD)
Number
of
children
Percent-
age
below
-3 SD
Percent-
age
below
-2 SD
2
Percent-
age
above
+2 SD
Mean z
score
(SD)
Number
of
children
Percent-
age
below
-3 SD
Percent-
age
below
-2 SD
2
Mean z
score
(SD)
Number
of
children
Age in months
<6
5.8
18.3
-0.8
244
1.2
7.5
6.2
-0.0
240
3.4
11.1
-0.7
245
611
2.0
9.9
-0.6
215
1.8
8.7
3.0
-0.5
215
3.0
13.7
-0.7
215
1223
6.7
28.5
-1.3
507
1.1
10.2
0.6
-0.6
507
3.9
19.9
-1.0
507
2435
6.3
29.1
-1.4
573
0.6
8.0
0.2
-0.7
574
4.1
23.3
-1.2
583
3647
6.0
26.8
-1.4
554
0.5
5.4
0.3
-0.5
555
2.3
17.2
-1.1
555
4859
6.8
23.7
-1.3
537
0.8
7.2
1.1
-0.6
537
4.3
19.5
-1.2
537
023
5.4
21.8
-1.0
966
1.3
9.2
2.5
-0.4
962
3.6
16.3
-0.9
967
2459
6.4
26.6
-1.4
1,664
0.6
6.9
0.5
-0.6
1,666
3.6
20.0
-1.2
1,675
Sex
Male
5.3
24.7
-1.2
1,368
0.8
8.5
1.6
-0.5
1,366
3.3
16.6
-1.0
1,371
Female
6.8
25.0
-1.3
1,262
1.0
6.9
0.9
-0.6
1,262
3.9
20.9
-1.1
1,272
Mothers interview status
Interviewed
6.1
25.2
-1.2
2,356
0.9
8.2
1.3
-0.6
2,352
3.8
19.3
-1.1
2,369
Not interviewed, but in
household
6.2
21.5
-1.3
214
0.0
3.9
1.1
-0.3
214
2.1
14.5
-1.0
214
Not interviewed, not in
household
3
2.1
19.3
-0.9
60
2.2
3.8
0.9
-0.5
62
0.0
9.8
-0.9
60
Residence
Urban
4.8
21.5
-1.1
1,707
0.9
7.9
1.5
-0.5
1,706
3.2
16.9
-1.0
1,715
Rural
8.2
31.0
-1.5
923
0.8
7.5
0.9
-0.5
922
4.3
21.9
-1.2
927
Ecological zone
Mountain
10.2
41.7
-1.7
148
0.5
3.7
1.9
-0.2
148
3.8
19.1
-1.1
149
Hill
5.2
22.4
-1.2
922
0.2
3.9
1.2
-0.3
922
1.7
13.4
-0.9
926
Terai
6.1
24.7
-1.2
1,561
1.3
10.4
1.2
-0.7
1,558
4.7
21.7
-1.2
1,568
Province
Province 1
4.3
20.0
-1.0
481
0.7
3.8
2.1
-0.4
480
1.7
13.0
-0.9
487
Urban
4.5
20.3
-1.0
303
1.2
3.7
2.8
-0.4
303
1.5
14.1
-0.8
305
Rural
3.9
19.4
-1.1
178
0.0
4.1
0.9
-0.4
177
1.9
11.1
-0.9
182
Madhesh Province
6.6
29.3
-1.4
687
0.2
10.1
0.0
-0.8
687
5.1
26.8
-1.4
691
Urban
6.6
27.2
-1.4
515
0.0
10.5
0.0
-0.8
515
5.2
24.1
-1.4
518
Rural
6.6
35.6
-1.6
172
1.0
9.1
0.0
-0.8
173
4.8
34.8
-1.5
173
Bagmati Province
4.7
17.6
-0.9
417
0.4
4.5
3.2
-0.2
417
2.9
10.5
-0.7
420
Urban
3.9
13.1
-0.7
313
0.5
5.4
3.3
-0.2
313
3.4
9.5
-0.6
316
Rural
7.1
31.1
-1.5
105
0.0
2.0
3.0
-0.2
105
1.4
13.7
-1.0
105
Gandaki Province
6.9
19.7
-1.2
182
0.0
4.0
0.8
-0.4
182
1.6
18.1
-1.0
182
Urban
4.0
15.0
-1.1
113
0.0
3.5
0.0
-0.4
113
1.7
15.2
-0.9
113
Rural
11.7
27.6
-1.4
68
0.0
4.7
2.1
-0.3
68
1.6
22.9
-1.0
68
Lumbini Province
7.4
25.1
-1.3
435
3.3
16.2
0.3
-0.8
431
6.1
23.3
-1.3
435
Urban
2.9
18.9
-1.1
224
3.7
17.8
0.0
-0.8
221
3.7
20.0
-1.2
224
Rural
12.1
31.8
-1.5
211
2.8
14.5
0.6
-0.8
210
8.6
26.9
-1.4
211
Karnali Province
8.6
35.8
-1.6
195
0.6
3.8
0.7
-0.4
195
2.3
17.7
-1.2
195
Urban
5.6
26.6
-1.4
96
1.0
2.9
1.0
-0.4
96
0.5
14.8
-1.1
96
Rural
11.5
44.9
-1.9
98
0.3
4.7
0.4
-0.4
98
4.1
20.5
-1.3
98
Sudurpashchim Province
5.0
28.4
-1.3
233
0.3
5.1
2.4
-0.3
236
2.3
13.9
-1.0
233
Urban
4.7
27.0
-1.3
143
0.4
4.5
3.9
-0.2
144
1.2
11.6
-0.9
143
Rural
5.4
30.7
-1.4
91
0.0
6.1
0.0
-0.4
92
3.9
17.6
-1.1
91
Mothers education
4
No education
12.4
36.3
-1.7
549
1.1
10.4
0.2
-0.8
549
8.4
29.7
-1.5
551
Basic education (18)
4.5
27.5
-1.3
922
0.5
7.6
1.1
-0.5
921
2.4
19.5
-1.1
924
Lower basic education (15)
5.7
28.2
-1.3
470
0.6
8.4
1.0
-0.5
470
2.9
20.2
-1.1
470
Upper basic education (68)
3.3
26.8
-1.3
452
0.4
6.8
1.3
-0.5
451
1.9
18.8
-1.1
454
Secondary (912)
4.4
17.6
-1.1
982
1.1
6.7
1.7
-0.5
980
2.5
13.7
-0.9
990
Lower secondary (910)
5.2
19.3
-1.1
635
1.1
6.7
0.7
-0.6
634
2.7
15.8
-1.0
642
Higher secondary (1112)
2.9
14.6
-0.9
347
1.0
6.8
3.6
-0.3
346
2.1
9.8
-0.7
349
More than secondary
(13 and above)
3.6
12.0
-0.5
117
0.0
6.7
3.1
-0.3
116
0.9
6.9
-0.5
117
Wealth quintile
Lowest
10.2
36.9
-1.6
626
0.9
5.6
1.0
-0.5
627
4.7
20.4
-1.3
628
Second
5.7
28.4
-1.4
567
0.5
7.8
0.8
-0.6
567
3.9
22.8
-1.2
568
Middle
4.5
22.3
-1.2
547
0.4
8.5
1.7
-0.6
548
2.4
19.2
-1.1
551
Fourth
4.7
17.7
-1.1
479
1.4
8.4
0.5
-0.6
479
3.6
17.0
-1.0
480
Highest
3.6
13.1
-0.7
411
1.4
9.2
2.5
-0.4
407
2.8
11.7
-0.7
416
Total
6.0
24.8
-1.2
2,630
0.9
7.7
1.3
-0.5
2,628
3.6
18.7
-1.1
2,643
Note: Each of the indices is expressed in standard deviation units (SD) from the median of the WHO Child Growth Standards.
1
Recumbent length is measured for children under age 2; standing height is measured for all other children
2
Includes children who are below -3 SD from the WHO Child Growth Standards population median
3
Includes children whose mothers are deceased
4
For women who are not interviewed, information is taken from the Household Questionnaire. Excludes children whose mothers are not listed in the Household
Questionnaire.
35
3.12 INFANT AND YOUNG CHILD FEEDING
Optimal infant and young child feeding (IYCF) practices are critical to the health and survival of young
children, Recommended IYCF practices include early initiation of breastfeeding within the first hour of
life, exclusively breastfeeding for the first 6 months of life, and feeding children a diet that meets a
minimum diversity (WHO and UNICEF 2021).
Early initiation of breastfeeding
Percentage of children age 023 months who were put to the breast within
1 hour of birth
Sample: Children age 023 months
Exclusive breastfeeding under 6 months
Percentage of children age 05 months who are fed exclusively with
breastmilk during the previous day
Sample: Youngest children age 05 months living with the mother
Minimum dietary diversity 623 months
Percentage of children age 623 months who are fed a minimum of 5 out of
8 defined food groups during the previous day. The 8 food groups are as
follows: breastmilk; grains, roots, and tubers; legumes and nuts; dairy products
(milk yogurt, cheese); flesh foods (meat, fish, poultry, and organ meat); eggs;
vitamin A-rich fruits and vegetables; and other fruits and vegetables.
Sample: Youngest children age 623 months living with the mother
Key IYCF indicators are presented in Table 13.
Fifty-five percent (55%) of children age 023 months engaged in early initiation of breastfeeding.
Seventy-eight percent (78%) of children age 623 months met the minimum dietary diversity
requirement.
Fifty-six percent (56%) of children under 6 months were exclusively breastfeed.
Table 13 Infant and young child feeding (IYCF) indicators
Percentage of children fed according to various IYCF practices, Nepal DHS 2022
Indicator
Indicator numerator and denominator
Value
Early initiation of
breastfeeding
Percentage of children age 023 months who
were put to the breast within 1 hour of birth
55.3
Number of children age 023 months
1,926
Exclusive breastfeeding
under 6 months
Percentage of children age 05 months who
were fed exclusively with breastmilk during the
previous day
56.4
Number of youngest children age 05 months
living with the mother
527
Minimum dietary diversity
623 months
Percentage of children age 623 months who
were fed foods and beverages from at least 5
out of 8 defined food groups during the
previous day
78.2
Number of youngest children age 623
months living with the mother
1,366
Sweet beverage
consumption 623 months
Percentage of children age 623 months who
were given a sweet beverage during the
previous day
43.3
Number of youngest children age 623
months living with the mother
1,366
Unhealthy food
consumption 623 months
Percentage of children age 623 months fed
unhealthy foods during the previous day
68.7
Number of youngest children age 623
months living with the mother
1,366
36
Unhealthy infant and young child feeding practices should be avoided because they can replace nutritious
foods that provide important nutrients for children and can promote unhealthy weight gain. For infants and
young children, the consumption of sweet foods and beverages increases the risk of dental caries and
obesity in childhood. The definition below for unhealthy food consumption describes the sentinel
unhealthy foodsfoods that are high in sugar, salt and/or unhealthy fats that are commonly consumed by
infants and young children (WHO and UNICEF 2021).
Sweet beverage consumption 623 months
Percentage of children age 623 months who were given a sweet beverage
during the previous day
Unhealthy food consumption 623 months
Percentage of children age 623 months who were fed sentinel unhealthy
foods during the previous day
Sample: Youngest children age 623 months living with the mother
Forty-three percent (43%) of children age 623 months were fed a sweet beverage.
Sixty-nine percent (69%) of children age 623 months consumed unhealthy foods.
Trends: Exclusive breastfeeding among children age 05 months has fluctuated widelydeclining from
75% in 1996 to 53% in 2006, then rising to 70% in 2011, and declining to 56% in 2022 (Figure 7).
Figure 7 Trends in exclusive breastfeeding
3.13 ANEMIA
3.13.1 Prevalence of anemia in children
Anemia is a condition that is marked by low levels of hemoglobin in the blood. Causes of anemia include
iron deficiency and other nutritional deficiencies, malaria, infections with hookworm or other helminths,
chronic infections, and genetic conditions such as sickle cell disease. Anemia is a serious concern for
children because it can impair cognitive development and is associated with long-term health and
economic consequences. Severe anemia leads to increased mortality (Chaparro and Suchdev 2019).
75
68
53
70
66
56
1996
NFHS
2001
NDHS
2006
NDHS
2011
NDHS
2016
NDHS
2022
NDHS
Percentage of children age 05 months
37
Anemia in children
Anemia status
Hemoglobin level in
grams/deciliter
Anemic
<11.0
Mildly anemic
10.010.9
Moderately anemic
7.09.9
Severely anemic
<7.0
Not anemic
11.0
Note: Hemoglobin levels are adjusted for altitude in
enumeration areas above 1,000 meters.
Sample: Children age 659 months
Of the 2,504 children age 659 months eligible for anemia testing in the survey, 96% were tested.
As shown in Table 14, 43% of children age 659 months are anemic, including 25% who are mildly
anemic, 18% who are moderately anemic, and less than 1% who are severely anemic.
Trends: The prevalence of anemia among children age 659 months has decreased from 48% in 2006 to
43% in 2022. However, the trend has not been consistently downwardin 2016, 53% of children were
anemic.
Table 14 Prevalence of anemia in children
Percentage of children age 659 months classified as having anemia, according to background characteristics, Nepal
DHS 2022
Anemia status by hemoglobin level
Number of
children age
659 months
Background
characteristic
Any
(<11.0 g/dl)
Mild
(10.010.9 g/dl)
Moderate
(7.09.9 g/dl)
Severe
(<7.0 g/dl)
Age in months
611
70.0
30.8
38.5
0.7
214
1223
63.9
32.1
30.6
1.2
493
2435
43.1
24.5
18.1
0.4
573
3647
31.2
20.7
10.4
0.2
540
4859
26.0
19.5
6.5
0.0
524
623
65.7
31.7
33.0
1.0
707
2459
33.7
21.6
11.8
0.2
1,637
Sex
Male
43.9
26.2
17.3
0.4
1,206
Female
42.7
23.1
19.2
0.5
1,138
Residence
Urban
43.7
24.3
18.9
0.5
1,507
Rural
42.7
25.4
17.0
0.4
837
Ecological zone
Mountain
43.2
24.1
18.4
0.7
131
Hill
33.8
20.1
13.3
0.4
826
Terai
49.1
27.4
21.2
0.5
1,387
Province
Province 1
33.9
19.9
14.0
0.0
422
Urban
33.2
18.9
14.3
0.0
261
Rural
35.1
21.7
13.5
0.0
161
Madhesh Province
50.6
28.0
21.9
0.6
619
Urban
50.5
27.9
21.9
0.7
463
Rural
50.8
28.4
22.0
0.4
156
Bagmati Province
42.5
23.8
18.6
0.0
359
Urban
44.4
25.1
19.3
0.0
268
Rural
36.8
20.1
16.8
0.0
92
Gandaki Province
30.7
19.6
11.1
0.0
168
Urban
25.9
16.3
9.6
0.0
104
Rural
38.5
25.1
13.4
0.0
64
Lumbini Province
48.9
27.7
20.4
0.8
392
Urban
49.8
25.3
23.4
1.0
198
Rural
48.0
30.2
17.3
0.5
194
Karnali Province
39.8
25.0
14.5
0.3
179
Urban
38.3
26.5
11.8
0.0
87
Rural
41.2
23.6
17.1
0.5
93
Sudurpashchim Province
45.4
23.7
20.2
1.6
204
Urban
47.9
23.6
22.4
1.9
126
Rural
41.4
23.7
16.5
1.1
78
Continued…
38
Table 14Continued
Anemia status by hemoglobin level
Number of
children age
659 months
Background
characteristic
Any
(<11.0 g/dl)
Mild
(10.010.9 g/dl)
Moderate
(7.09.9 g/dl)
Severe
(<7.0 g/dl)
Wealth quintile
Lowest
41.7
22.6
18.4
0.8
574
Second
45.5
24.3
21.2
0.0
513
Middle
45.9
29.8
15.9
0.2
485
Fourth
49.2
29.2
19.0
1.0
424
Highest
32.3
15.9
16.0
0.3
349
Total
43.4
24.7
18.2
0.5
2,344
Note: The table is based on children who stayed in the household on the night before the interview and who were tested
for anemia. The prevalence of anemia, based on hemoglobin levels, is adjusted for altitude using CDC formulas (CDC
1998) and cutoffs defined by WHO (WHO 2017). Hemoglobin is measured in grams per deciliter (g/dl) using the HemoCue
201+ device.
3.13.2 Prevalence of anemia in women
Anemia in adults can cause fatigue, lethargy, reduced physical productivity, and poor work performance
(Chaparro and Suchdev 2019). Anemia is a major concern among pregnant women because it can lead to
increased maternal mortality and poor birth outcomes (Haider et al. 2013).
Hemoglobin levels below which women are considered anemic
Respondents
Hemoglobin level in
grams/deciliter
Non-pregnant women age 1549
Less than 12.0
Pregnant women age 1549
Less than 11.0
Note: Hemoglobin levels are adjusted for cigarette smoking,
and for altitude in enumeration areas above 1,000 meters.
Sample: Women age 1549
Of the 7,403 women age 1549 eligible for anemia testing in the survey, 99% were tested.
As shown in Table 15, 34% of women are anemic, including 18% who are mildly anemic, 15% who
are moderately anemic, and 1% who are severely anemic.
Women living in the terai ecological zone are more likely to be anemic (45%) than those living in hills
(20%) and mountain (23%) regions. More than half of the women (52%) are anemic in Madhesh
Province, which is in the terai ecological zone.
Trends: The prevalence of anemia among women age 1549 increased from 36% in 2006 to 41% in 2016
and declined to 34% in 2022.
39
Table 15 Prevalence of anemia in women
Percentage of women age 1549 with anemia, according to background characteristics and pregnancy status, Nepal DHS 2022
Non-pregnant
Anemia status by hemoglobin level
Number of
women
Background
characteristic
Any
Mild
Moderate
Severe
<12.0 g/dl
11.011.9 g/dl
8.010.9 g/dl
<8.0 g/dl
Pregnant
<11.0 g/dl
10.010.9 g/dl
7.09.9 g/dl
<7.0 g/dl
Age
519
39.4
21.3
16.2
2.0
1,305
2029
34.5
20.4
13.4
0.7
2,514
3039
30.2
15.9
13.4
0.8
2,070
4049
33.5
16.1
16.5
0.9
1,440
Number of living children
0
36.0
19.8
14.7
1.5
2,083
1
31.3
19.3
11.2
0.8
1,329
23
32.9
18.2
14.1
0.7
2,915
45
36.2
15.5
19.4
1.3
833
6+
36.4
14.8
21.0
0.6
169
Maternity status
Pregnant
32.7
20.2
12.4
0.2
307
Not pregnant
1
34.0
18.4
14.6
1.0
7,022
Ethnic group
Brahmin/Chhetri
25.6
15.9
9.2
0.5
2,082
Dalit
36.3
20.2
15.4
0.7
1,108
Janajati
31.4
17.0
13.4
0.9
2,668
Madhesi
48.4
23.9
22.7
1.8
1,157
Muslim
50.0
21.2
25.7
3.0
309
Others
*
*
*
*
5
Residence
Urban
33.8
17.9
14.9
1.0
5,030
Rural
34.2
19.6
13.7
1.0
2,299
Ecological zone
Mountain
23.0
12.7
9.4
0.9
380
Hill
20.0
12.7
7.0
0.4
2,950
Terai
45.3
23.3
20.6
1.5
3,999
Province
Province 1
27.6
15.3
11.4
0.9
1,235
Urban
28.5
14.6
12.9
1.1
807
Rural
25.8
16.8
8.5
0.5
428
Madhesh Province
52.4
25.2
25.3
1.9
1,458
Urban
52.4
24.9
25.8
1.6
1,087
Rural
52.6
26.1
23.8
2.8
371
Bagmati Province
23.1
14.6
8.0
0.5
1,546
Urban
22.6
14.0
7.9
0.7
1,266
Rural
25.1
17.0
8.1
0.0
280
Gandaki Province
25.1
15.8
8.9
0.4
689
Urban
24.1
16.1
7.5
0.6
485
Rural
27.4
15.1
12.3
0.0
203
Lumbini Province
44.4
23.4
19.5
1.5
1,318
Urban
46.0
22.6
21.7
1.6
749
Rural
42.4
24.4
16.7
1.3
569
Karnali Province
21.2
13.3
7.5
0.4
450
Urban
21.8
13.3
8.0
0.5
249
Rural
20.5
13.3
6.8
0.4
201
Sudurpashchim Province
27.3
14.6
12.6
0.2
634
Urban
25.9
14.0
11.8
0.0
387
Rural
29.6
15.4
13.8
0.4
246
Education
No education
38.3
18.1
19.3
0.9
1,819
Basic education (18)
33.5
17.8
14.7
1.1
2,312
Lower basic education (15)
32.3
16.1
14.7
1.4
1,163
Upper basic education (68)
34.7
19.4
14.6
0.7
1,149
Secondary (912)
32.8
19.5
12.2
1.1
2,829
Lower secondary (910)
34.5
20.3
13.3
0.9
1,645
Higher secondary (1112)
30.6
18.4
10.7
1.5
1,185
More than secondary
(13 and above)
24.3
16.5
7.8
0.0
368
Wealth quintile
Lowest
25.7
14.8
10.2
0.7
1,273
Second
35.4
19.1
15.8
0.5
1,464
Middle
41.2
21.1
18.8
1.3
1,486
Fourth
37.1
19.1
16.6
1.4
1,475
Highest
29.7
17.7
11.0
1.0
1,630
Total
34.0
18.4
14.5
1.0
7,329
Note: The prevalence of anemia, based on hemoglobin levels, is adjusted for altitude and for cigarette smoking, if known, using CDC formulas (CDC
1998) and cutoffs defined by WHO (WHO 2017). Hemoglobin is measured in grams per deciliter (g/dl) using the HemoCue 201+ device. An asterisk
indicates that a figure is based on fewer than 25 unweighted cases and has been suppressed.
1
Includes women who do not know if they are pregnant
40
3.14 HIV
3.14.1 Knowledge of HIV prevention among young people
Knowledge about HIV prevention
Knowing that consistent use of condoms during sexual intercourse and having
just one uninfected faithful partner can reduce the chances of getting HIV,
knowing that a healthy-looking person can have HIV, and rejecting two major
misconceptions about HIV transmission: HIV can be transmitted by mosquito
bites and a person can become infected by sharing food with a person who
has HIV.
Sample: Women and men age 1524
Knowledge of how HIV is transmitted is crucial to enabling people to avoid HIV infection. This is
especially true for young people, who are often at greater risk because they may have shorter relationships
with more partners or may engage in other risky behaviors.
Sixty-five percent (65%) of young women and 88% of young men know that consistent use of
condoms can reduce the risk of getting HIV (Table 16).
Sixty-nine percent (69%) of young women and 85% of young men know that having just one
uninfected partner can reduce the chance of getting HIV.
Only 16% of young women and 27% of young men have a thorough knowledge of HIV prevention
methods.
41
Table 16 Knowledge of HIV prevention methods among young people
Percentage of young women and young men age 1524 who, in response to prompted questions, say that people can reduce the risk of getting HIV by using
condoms every time they have sexual intercourse, and by having one sex partner who is not infected and has no other partners, and percentage who correctly
identify both ways of preventing the sexual transmission of HIV and reject major misconceptions about HIV transmission, according to background characteristics,
Nepal DHS 2022
Women age 1524
Men age 1524
Background
characteristic
Using
condoms
1
Limiting sexual
intercourse to
one uninfected
partner
2
Percentage
with
knowledge
about HIV
prevention
3
Number of
women
Using
condoms
1
Limiting sexual
intercourse to
one uninfected
partner
2
Percentage
with
knowledge
about HIV
prevention
3
Number of
men
Age
1519
60.8
66.2
14.1
2,643
86.8
83.5
23.4
985
1517
59.6
65.1
12.5
1,542
86.9
82.6
25.0
591
1819
62.5
67.8
16.3
1,100
86.7
84.9
21.1
393
2024
68.2
72.4
17.8
2,637
88.6
85.6
30.7
857
2022
67.0
71.9
15.7
1,645
87.9
84.1
30.9
551
2324
70.2
73.2
21.4
993
89.8
88.4
30.2
306
Marital status
Never married
68.5
74.6
19.4
2,897
88.1
84.9
27.9
1,493
Ever had sex
(92.5)
(91.9)
(21.8)
54
93.2
90.6
30.5
373
Never had sex
68.0
74.2
19.3
2,843
86.4
83.0
27.1
1,120
Ever married
59.7
62.9
11.8
2,383
85.6
82.8
22.0
349
Ethnic group
Brahmin/Chhetri
79.7
83.9
23.9
1,394
93.9
87.8
36.6
427
Dalit
51.9
58.0
11.2
879
83.6
77.3
17.0
270
Janajati
74.3
79.7
18.6
1,791
90.3
89.6
31.9
635
Madhesi
47.5
51.5
7.4
922
81.8
79.0
15.1
396
Muslim
22.3
24.1
3.1
284
78.3
79.6
22.8
110
Others
*
*
*
9
*
*
*
4
Residence
Urban
66.0
70.1
17.3
3,595
88.7
85.0
29.0
1,321
Rural
61.4
67.6
13.2
1,685
85.0
83.3
21.1
521
Ecological zone
Mountain
73.3
80.9
24.9
276
85.6
76.7
13.8
79
Hill
75.3
81.3
18.9
2,010
93.7
92.0
38.6
730
Terai
56.5
60.2
13.2
2,994
83.5
79.8
19.5
1,034
Province
Province 1
69.0
73.0
15.3
854
84.3
83.1
24.7
312
Urban
72.9
75.1
18.0
530
85.7
83.6
24.2
207
Rural
62.5
69.7
10.9
324
81.5
82.2
25.7
105
Madhesh Province
35.5
39.1
5.1
1,217
77.0
74.6
10.0
430
Urban
35.1
38.8
4.9
912
77.6
75.8
11.4
312
Rural
36.7
40.0
6.0
306
75.3
71.5
6.3
118
Bagmati Province
77.1
81.5
25.9
967
93.4
90.1
38.0
456
Urban
80.0
84.5
27.9
755
94.1
90.1
40.0
397
Rural
66.6
70.8
18.7
212
88.8
90.1
24.5
59
Gandaki Province
75.1
84.3
18.6
463
92.2
91.5
40.4
123
Urban
74.9
82.5
19.7
343
93.5
93.4
43.8
86
Rural
75.7
89.3
15.5
120
89.0
87.3
32.3
37
Lumbini Province
69.7
74.5
15.9
915
91.3
88.8
25.8
277
Urban
73.3
77.6
17.4
538
91.8
85.6
30.1
160
Rural
64.6
70.0
13.8
377
90.6
93.2
19.9
116
Karnali Province
69.1
74.9
13.4
373
91.3
81.6
27.8
104
Urban
73.7
76.3
15.6
209
93.4
86.6
32.0
61
Rural
63.3
73.1
10.6
165
88.2
74.5
21.9
43
Sudurpashchim Province
80.9
85.7
23.8
490
95.2
87.4
36.0
140
Urban
83.3
87.5
24.9
309
95.8
87.3
34.6
98
Rural
76.8
82.7
22.1
182
93.7
87.8
39.3
42
Education
No education
12.8
15.2
2.2
362
(43.1)
(44.6)
(3.3)
48
Basic education (18)
46.0
50.2
6.7
1,676
81.5
75.8
16.8
611
Lower basic education (15)
30.4
33.3
3.3
586
74.1
64.9
7.4
169
Upper basic education (68)
54.3
59.3
8.5
1,090
84.3
79.9
20.4
441
Secondary (912)
79.5
85.1
21.4
3,132
92.7
90.6
32.2
1,139
Lower secondary (910)
74.6
81.4
14.9
1,587
91.9
88.3
25.5
570
Higher secondary (1112)
84.5
88.8
28.1
1,545
93.5
93.0
38.8
569
More than secondary
(13 and above)
92.0
90.1
48.1
109
(90.5)
(90.9)
(52.1)
44
Wealth quintile
Lowest
61.8
68.1
11.7
1,012
85.0
80.8
24.9
278
Second
54.6
59.4
10.5
1,075
83.9
80.2
19.0
365
Middle
59.1
64.9
13.3
1,059
86.2
78.9
18.9
355
Fourth
67.5
72.7
17.7
1,183
88.8
88.2
27.6
449
Highest
80.9
82.5
27.3
951
92.9
91.9
41.4
396
Total 1524
64.5
69.3
16.0
5,280
87.6
84.5
26.8
1,842
Note: Figures in parentheses are based on 2549 unweighted cases. An asterisk indicates that a figure is based on fewer than 25 unweighted cases and has been
suppressed.
1
Using condoms every time they have sexual intercourse
2
Partner who has no other partners
3
Knowledge about HIV prevention means knowing that consistent use of condoms during sexual intercourse and having just one uninfected faithful partner can
reduce the chance of getting HIV, knowing that a healthy-looking person can have HIV, and rejecting two common misconceptions about transmission or prevention
of HIV: HIV can be transmitted by mosquito bites and a person can become infected by sharing food with a person who has HIV.
42
3.14.2 Prior HIV testing
HIV testing programs diagnose people living with HIV so that they can be linked to care and access
antiretroviral therapy (ART). Knowledge of HIV status helps HIV negative individuals reduce risk and
remain negative.
Overall, 10% of women and 13% of men age 1549 have ever been tested for HIV (Table 17.1 and
Table 17.2, respectively). Almost all of those who were tested received the test results.
Three percent (3%) of women and 2% of men age 1549 were tested for HIV in the 12-month period
preceding the survey and received the results of the last test they took.
43
Table 17.1 Coverage of prior HIV testing: Women
Percent distribution of women age 1549 by HIV testing status and by whether they received the results of the last test, percentage of women ever tested, and percentage
of women who were tested in the last 12 months and received the results of the last test, according to background characteristics, Nepal DHS 2022
Percent distribution of women by testing status and by
whether they received the results of the last test
Total
Percentage
ever tested
Percentage tested
for HIV in the past
12 months and
received the
results of the
last test
Number of
women
Background
characteristic
Ever tested and
received results
Ever tested, did
not receive results
Never tested
1
Age
1524
6.3
0.1
93.5
100.0
6.5
2.4
5,280
1519
1.6
0.1
98.2
100.0
1.8
1.0
2,643
2024
11.0
0.1
88.8
100.0
11.2
3.8
2,637
2529
17.5
0.3
82.2
100.0
17.8
4.7
2,435
3039
13.9
0.4
85.7
100.0
14.3
2.9
4,169
4049
5.7
0.3
94.0
100.0
6.0
1.0
2,961
Marital status
Never married
1.9
0.1
98.0
100.0
2.0
0.4
3,203
Ever had sex
10.9
0.0
89.1
100.0
10.9
4.1
84
Never had sex
1.7
0.1
98.2
100.0
1.8
0.3
3,120
Married or living together
12.5
0.3
87.2
100.0
12.8
3.3
11,180
Divorced/separated/widowed
10.8
0.3
88.9
100.0
11.1
1.8
462
Ethnic group
Brahmin/Chhetri
15.0
0.3
84.6
100.0
15.4
3.9
4,152
Dalit
8.2
0.4
91.5
100.0
8.5
2.1
2,240
Janajati
9.9
0.3
89.8
100.0
10.2
2.6
5,428
Madhesi
6.0
0.1
93.9
100.0
6.1
1.8
2,333
Muslim
2.7
0.0
97.3
100.0
2.7
0.4
676
Others
*
*
*
100.0
*
*
15
Residence
Urban
11.3
0.2
88.5
100.0
11.5
3.0
10,178
Rural
7.8
0.3
91.9
100.0
8.1
1.9
4,667
Ecological zone
Mountain
7.0
0.3
92.7
100.0
7.3
1.6
791
Hill
12.5
0.4
87.1
100.0
12.9
3.5
5,872
Terai
8.8
0.2
91.0
100.0
9.0
2.1
8,182
Province
Province 1
9.7
0.2
90.1
100.0
9.9
2.3
2,493
Urban
10.5
0.1
89.4
100.0
10.6
2.5
1,640
Rural
8.3
0.3
91.4
100.0
8.6
2.0
853
Madhesh Province
3.6
0.0
96.4
100.0
3.6
1.0
3,010
Urban
3.9
0.0
96.1
100.0
3.9
1.1
2,226
Rural
2.7
0.0
97.3
100.0
2.7
0.9
783
Bagmati Province
14.5
0.2
85.3
100.0
14.7
3.8
3,062
Urban
16.6
0.2
83.3
100.0
16.7
4.4
2,464
Rural
5.8
0.5
93.6
100.0
6.4
1.3
599
Gandaki Province
10.6
0.4
89.0
100.0
11.0
2.9
1,401
Urban
11.7
0.6
87.8
100.0
12.2
3.4
992
Rural
8.1
0.1
91.8
100.0
8.2
1.7
409
Lumbini Province
12.0
0.2
87.8
100.0
12.2
2.9
2,691
Urban
13.0
0.3
86.7
100.0
13.3
3.3
1,553
Rural
10.6
0.2
89.3
100.0
10.7
2.4
1,138
Karnali Province
7.5
0.5
92.1
100.0
7.9
2.4
909
Urban
9.6
0.7
89.8
100.0
10.2
3.5
507
Rural
4.8
0.3
94.9
100.0
5.1
0.9
402
Sudurpashchim Province
13.8
0.7
85.5
100.0
14.5
3.6
1,279
Urban
14.1
0.6
85.4
100.0
14.6
3.2
796
Rural
13.3
1.1
85.7
100.0
14.3
4.2
484
Education
No education
3.1
0.2
96.7
100.0
3.3
0.7
3,796
Basic education (18)
7.6
0.2
92.2
100.0
7.8
1.6
4,595
Lower basic education (15)
6.5
0.2
93.3
100.0
6.7
1.4
2,314
Upper basic education (68)
8.7
0.2
91.1
100.0
8.9
1.7
2,281
Secondary (912)
14.3
0.3
85.4
100.0
14.6
4.0
5,798
Lower secondary (910)
12.1
0.3
87.6
100.0
12.4
2.9
3,270
Higher secondary (1112)
17.1
0.4
82.5
100.0
17.5
5.4
2,529
More than secondary
(13 and above)
33.0
0.4
66.6
100.0
33.4
9.6
656
Wealth quintile
Lowest
6.9
0.3
92.8
100.0
7.2
1.9
2,628
Second
5.8
0.3
93.8
100.0
6.2
1.3
2,857
Middle
8.3
0.2
91.5
100.0
8.5
1.7
3,028
Fourth
10.3
0.2
89.6
100.0
10.4
2.9
3,197
Highest
18.5
0.3
81.2
100.0
18.8
5.1
3,135
Total
10.2
0.3
89.6
100.0
10.4
2.6
14,845
Note: An asterisk indicates that a figure is based on fewer than 25 unweighted cases and has been suppressed.
1
Includes respondents who have not heard of HIV or who refused to answer questions on testing
44
Table 17.2 Coverage of prior HIV testing: Men
Percent distribution of men age 1549 by HIV testing status and by whether they received the results of the last test, percentage of men ever tested, and percentage of
men who were tested in the last 12 months and received the results of the last test, according to background characteristics, Nepal DHS 2022
Percent distribution of men by testing status and by
whether they received the results of the last test
Total
Percentage
ever tested
Percentage tested
for HIV in the past
12 months and
received the
results of the
last test
Number of
men
Background
characteristic
Ever tested and
received results
Ever tested, did
not receive results
Never tested
1
Age
1524
4.9
0.1
95.1
100.0
4.9
1.4
1,842
1519
1.7
0.2
98.2
100.0
1.8
0.4
985
2024
8.5
0.0
91.5
100.0
8.5
2.5
857
2529
18.5
0.2
81.3
100.0
18.7
3.7
716
3039
18.8
0.2
81.0
100.0
19.0
2.9
1,255
4049
14.2
0.4
85.4
100.0
14.6
1.7
1,100
Marital status
Never married
7.1
0.1
92.8
100.0
7.2
1.9
1,768
Ever had sex
15.6
0.0
84.4
100.0
15.6
4.6
539
Never had sex
3.3
0.1
96.5
100.0
3.5
0.8
1,229
Married or living together
15.6
0.3
84.2
100.0
15.8
2.2
3,101
Divorced/separated/widowed
(14.4)
(0.0)
(85.6)
100.0
(14.4)
(7.7)
44
Ethnic group
Brahmin/Chhetri
15.7
0.1
84.3
100.0
15.7
3.2
1,232
Dalit
9.1
0.4
90.5
100.0
9.5
1.5
658
Janajati
13.5
0.4
86.2
100.0
13.8
2.2
1,869
Madhesi
9.4
0.0
90.6
100.0
9.4
1.6
917
Muslim
9.0
0.0
91.0
100.0
9.0
0.4
228
Others
*
*
*
100.0
*
*
8
Residence
Urban
14.0
0.2
85.8
100.0
14.2
2.5
3,462
Rural
8.9
0.1
91.0
100.0
9.0
1.4
1,451
Ecological zone
Mountain
9.8
0.3
89.9
100.0
10.1
0.4
255
Hill
14.0
0.2
85.9
100.0
14.1
2.6
1,973
Terai
11.7
0.2
88.1
100.0
11.9
2.0
2,685
Province
Province 1
9.5
0.0
90.5
100.0
9.5
1.2
882
Urban
11.0
0.0
89.0
100.0
11.0
1.4
604
Rural
6.2
0.0
93.8
100.0
6.2
0.9
278
Madhesh Province
8.4
0.0
91.6
100.0
8.4
1.4
997
Urban
9.0
0.0
91.0
100.0
9.0
1.3
722
Rural
6.8
0.0
93.2
100.0
6.8
1.5
275
Bagmati Province
14.1
0.2
85.6
100.0
14.4
3.1
1,214
Urban
16.0
0.3
83.7
100.0
16.3
3.5
1,016
Rural
4.8
0.0
95.2
100.0
4.8
1.2
198
Gandaki Province
18.9
0.5
80.6
100.0
19.4
4.7
387
Urban
21.1
0.6
78.3
100.0
21.7
5.3
264
Rural
14.0
0.4
85.6
100.0
14.4
3.2
123
Lumbini Province
14.1
0.5
85.5
100.0
14.5
1.8
812
Urban
14.6
0.6
84.8
100.0
15.2
2.3
468
Rural
13.3
0.3
86.4
100.0
13.6
1.2
344
Karnali Province
10.1
0.1
89.8
100.0
10.2
1.3
266
Urban
13.0
0.0
87.0
100.0
13.0
1.1
154
Rural
6.1
0.2
93.7
100.0
6.3
1.5
113
Sudurpashchim Province
16.9
0.4
82.7
100.0
17.3
2.1
355
Urban
19.8
0.6
79.6
100.0
20.4
2.8
233
Rural
11.4
0.0
88.6
100.0
11.4
0.9
122
Education
No education
4.3
0.2
95.4
100.0
4.6
0.0
393
Basic education (18)
9.9
0.2
89.9
100.0
10.1
2.0
1,898
Lower basic education (15)
10.0
0.0
90.0
100.0
10.0
2.5
891
Upper basic education (68)
9.8
0.4
89.8
100.0
10.2
1.6
1,007
Secondary (912)
14.1
0.3
85.6
100.0
14.4
2.3
2,244
Lower secondary (910)
12.7
0.3
87.0
100.0
13.0
1.5
1,284
Higher secondary (1112)
16.0
0.2
83.8
100.0
16.2
3.4
959
More than secondary
(13 and above)
24.4
0.0
75.6
100.0
24.4
4.2
377
Wealth quintile
Lowest
6.7
0.3
93.0
100.0
7.0
1.2
751
Second
7.7
0.1
92.2
100.0
7.8
1.2
933
Middle
9.5
0.1
90.4
100.0
9.6
1.9
957
Fourth
14.4
0.2
85.4
100.0
14.6
2.1
1,135
Highest
20.8
0.4
78.8
100.0
21.2
4.0
1,137
Total 1549
12.5
0.2
87.3
100.0
12.7
2.2
4,913
Note: Figures in parentheses are based on 2549 unweighted cases. An asterisk indicates that a figure is based on fewer than 25 unweighted cases and has been
suppressed.
1
Includes respondents who have not heard of HIV or who refused to answer questions on testing
45
3.15 DISABILITY
Functional domains
Seeing, hearing, communicating, remembering or concentrating, walking or
climbing steps, and washing all over or dressing.
Sample: de facto household population age 5 and above
The 2022 NDHS included The DHS Programs Disability Module, a series of questions based on the
Washington Group on Disability Statistics (WG) Short Set of questions, which in turn are based on the
framework of the World Health Organizations International Classification of Functioning, Disability, and
Health. The questions address six core functional domains and provide basic information on disability
comparable to that being collected worldwide via the WG disability tools.
Respondents to the Household Questionnaire provided information for all the household members and
visitors on disability status for each of the functional domains: whether they had no difficulty, some
difficulty, a lot of difficulty, or no ability at all in the specified functional domain. Table 18 shows the
results for the de facto household population age 5 and older.
Overall, 71% of the de facto household population age 5 or older have no difficulty in any of the
functional domains.
Among the de facto household population age 5 or older 23% have some difficulty in at least one
functional domain, 5% have a lot of difficulty, and 1% cannot do at least one domain.
Six percent (6%) of the de facto household members age 5 or older have a lot of difficulty or cannot
function at all in at least one of the functional domains.
Among the de facto household population age 5 and older, the most common disability reported is
difficulty seeing (15% ) followed by difficulty walking or climbing steps (12%).
Table 18 Disability by domain and age
Percent distribution of de facto household population age 5 and over by degree of difficulty in functioning according to domain, and
percent distribution by the highest degree of difficulty in functioning in at least one domain by age, Nepal DHS 2022
Degree of difficulty
Number of
persons
Domain and age
No difficulty
Some
difficulty
A lot of
difficulty
Cannot do
at all
Total
A lot of
difficulty, or
cannot do
at all
Domain
Difficulty seeing
84.5
13.5
1.8
0.1
100.0
1.9
24,529
Difficulty hearing
92.3
6.2
1.3
0.2
100.0
1.5
24,529
Difficulty communicating
96.7
2.4
0.6
0.4
100.0
0.9
24,529
Difficulty remembering or
concentrating
90.9
7.8
1.0
0.3
100.0
1.3
24,529
Difficulty walking or climbing
steps
88.3
8.6
2.6
0.5
100.0
3.1
24,529
Difficulty washing all over or
dressing
96.1
2.5
0.9
0.5
100.0
1.4
24,529
Difficulty in at least one domain
1
59
81.4
14.5
3.1
1.0
100.0
4.1
2,704
1014
91.2
7.1
1.3
0.4
100.0
1.7
2,891
1519
89.8
8.6
0.9
0.7
100.0
1.5
2,517
2029
88.8
9.6
0.8
0.7
100.0
1.5
4,358
3039
78.4
19.4
1.7
0.6
100.0
2.2
3,588
4049
59.3
36.4
3.7
0.6
100.0
4.3
2,777
5059
47.0
43.3
8.6
1.0
100.0
9.6
2,680
60+
25.7
47.2
23.9
3.2
100.0
27.1
3,014
Age 15 and over
66.7
26.0
6.2
1.1
100.0
7.3
18,934
Total
71.2
22.5
5.3
1.0
100.0
6.3
24,529
1
If a person was reported to have difficulty in more than one domain, only the highest level of difficulty is shown.
47
REFERENCES
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and Middle-Income Countries. Annals of the New York Academy of Sciences. 2019 Aug;1450(1):1531.
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