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Headline data

Geographical Area:

Unit of Measurement:

Footnote:

This table provides metadata for the actual indicator available from Cambodia statistics closest to the corresponding global SDG indicator. Please note that even when the global SDG indicator is fully available from Cambodian statistics, this table should be consulted for information on national methodology and other Cambodian-specific metadata information.

Goal

3. Ensure healthy lives and promote well-being for all at all ages

Target

3.1 By 2030, reduce the global maternal mortality ratio to less than 70 per 100,000 live births

Indicator

3.1.2 Proportion of births attended by skilled health personnel [3.1.2] (SH_STA_BRTC)

Metadata update

June 2021

Organisation

National Institute of Statistics (NIS), Ministry of Planning

Contact person(s)

Phan Chinda (Mr)

Contact organisation unit

Demographic Statistics, Population and Survey Department

Contact person function

Deputy Director General

Contact phone

+855 012 867 581

Contact mail

No. 386 Street 360, Sangkat Boeung Kengkang I, Khan Chamkarmon, Phnom Penh,​ Cambodia

Contact email

phanchinda@yahoo.com

Definition and concepts

It refers to the proportion of deliveries that were attended by skilled health personnel including physicians, medical assistants, midwives and nurses but excluding traditional birth attendants

Unit of measure

Percent

Data sources

Cambodia Demographic and Health Survey (CDHS)

Data collection method

The CDHS was conducted in 2000, 2005, 2010, 2014 and 2021. Before the CDHS, similar surveys known as Demographic Survey 1996 was also conducted by the NIS and followed by Nation Health Survey 1998 was conducted by Ministry of Health.

The CDHS is national household survey covering many areas related to the demographic and health situation within the population. It includes information on demography, family planning, infant and child mortality, domestic violence, and health-related information such as breastfeeding, antenatal care, children’s immunization, childhood diseases, and HIV/AIDS. Also, the questionnaires are designed to evaluate the nutritional status of mothers and children and to measure the prevalence of anemia.

The survey covered a sample of 15,000 plus households. All women age 15-49 in these households and all men aged 15-49 in a sub-sample of one-half of the households were eligible to be individually interviewed. The questionnaire is conducted in three parts for household, women and men in the household supplemented by blood collection for HIV and hemoglobin testing.

The CDHS data were collected by 17 teams, each consisting of a team supervisor, a field editor, and four female interviewers. Each team was in charge of data collection in one province or a group of provinces. Coordination and supervision of the interviewing activities were done by four survey coordinators and four supervisory staff members from the National Institute of Statistics and the Ministry of Health. Data collection took place over a six-month period, from February to July in the year of survey.

The detailed documentations of the survey, such as questionnaire, filed operation annual and technical report on survey design and implementation are stored in NADA (National Data Archive), NIS website: http://nada.nis.gov.kh/index.php/home

Data collection calendar

Every five years, The next round survey: August, 2021

Data release calendar

One year after the reference period of the survey, August 2022

Data providers

National Institute of Statistics

Data compilers

National Institute of Statistics

Institutional mandate

By virtue of the article 12 of Statistics Law of 2015, NIS in is responsible for:

  • Collecting, processing, compiling, analyzing, publishing and disseminating basic data by conducting censuses and surveys, and utilizing administrative data sources;
  • Compiling national accounts and price indexes, as well as economic, environment and socio-demographic indicators;
  • Coordination with line ministries as data producers as mandated by the Statistics Law; and

Functioning as the central repository of CSDG/SDG indicators.

Rationale

Having a skilled attendant at the time of childbirth is an important lifesaving intervention for both women and babies. Not having access to this key assistance is detrimental to women's health because it could cause the death of the women or long lasting morbidity, especially in vulnerable settings.

Comment and limitations

Survey estimates come with levels of uncertainty due to both sampling error and non-sampling error (e.g. mesasurement technical error, recording error etc.,). None of the two sources of errros have been fully taken into account for deriving estimates neither at country nor at regional and global levels.

The weights for each survey observation are determined by the sampling design, design weights, and adjusted for non-response and other imperfections such as under coverage or, adjusted to improve the precision of estimates.

Method of computation

The number of women aged 15-49 with a live birth attended by skilled health personnel (doctors, nurses or midwives) during delivery is expressed as a percentage of women aged 15-49 with a live birth in the same period.

Quality management

Adheres to the fundamental principles of official statistics and implements national quality assurance framework

The CDHS data were collected by 17 teams, each consisting of a team supervisor, a field editor, and four female interviewers. Each team was in charge of data collection in one province or a group of provinces. Coordination and supervision of the interviewing activities were done by four survey coordinators and four supervisory staff members from the National Institute of Statistics and the Ministry of Health.
Data processing is using double entry (CSPro) to cross check the unmatch/errors.

Quality assurance

Adheres to the fundamental principles of official statistics and implements national quality assurance framework

Quality assessment

Adheres to the fundamental principles of official statistics and implements national quality assurance framework

Data availability and disaggregation

Data disaggregation is available for various socio-economic characteristics including residence (urban/rural), household wealth quintiles, education level of the mother, maternal age, geographic regions (provinces).

References and Documentation

Cambodia Demographic and Health Survey Report: https://dhsprogram.com/Countries/Country-Main.cfm?ctry_id=6

This table provides information on metadata for SDG indicators as defined by the UN Statistical Commission. Complete global metadata is provided by the UN Statistics Division.