Transcript Slide 1
Use of census data for gender statistics and analysis
Margaret Mbogoni Demographic and Social Statistics Branch Statistics Division, DESA United Nations, New York Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
Outline
Outline of the Methodological Guidelines for the Gender
Analysis of National Population and Housing Census Data
Strengths and weaknesses of census data for gender analysis Examples of questions for gender analysis that have been asked in national censuses Select topics for gender analysis based on census data – Relative numbers of females/males by age – – – – – Households and families Marital status Education and literacy Fertility Special population groups
Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
Methodological Guidelines for the Gender Analysis of National Population and Housing Census Data
Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
Contents: Part 1
Introduction PART ONE - Background and Conceptual Clarifications for Gender Analysis of Census Data 1.
2.
Gender in Population and Housing Censuses Conceptual Clarifications on Gender Equality and Gender-Responsive Data Analysis
Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
Contents: Part 2
PART TWO – 10 Key Gender Issues Analysed with Census Data
3.
Fertility
4.
5.
6.
7.
8.
Mortality
Sex Ratio at Birth and During the Life Course Marital Status, Polygamy, Widowhood, Child Marriage Households and Families
Income, Poverty and Living Conditions
9.
Education and Literacy
10. Work, Economic Activities and Social Protection 11. Migration
12. Disability Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
Conclusions and Appendices
Conclusions References APPENDICES 1.
2.
3.
4.
5.
Gender-Relevant Issues in 2005-2014 Census Forms Glossary of Important Gender Terms Mapping of Resources on Gender Statistics Brief Overview of the Evolution of Gender Statistics From Understanding the Gender Data Gap to Improving the Production and Analysis of Gender Statistics
Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
Structure of each chapter
1. What is it?
2. Why is it important?
3. Data issues 4. Tabulations 5. Indicators 6. Multivariate and further gender analyses 7. Interpretation, policy and advocacy
Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
Tables, indicators and analysis
The basic premise of the manual is that the census offers many opportunities for in-depth studies, but that this requires going beyond the standard tabulations and constructing more complex indicators and analyses Some of these techniques go beyond what NSOs normally consider to be their mandate, namely the preparation of standard general-purpose tables and simple indicators. In order to implement some of the proposals contained in the manual (e.g. multivariate analyses), it may be necessary to build strong research ties with academic and research institutions outside the NSOs
Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
Tables, indicators and analysis
To make the best possible use of the advantages offered by census data − − DISAGGREGATE, DISAGGREGATE, DISAGGREGATE Or at least, STANDARDIZE But have a plan for why you are disaggregating Control as many intervening factors as you can, if necessary by using multivariate techniques
Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
Strengths of census data for gender analysis
Censuses provide
universal information
on the demographic and social characteristics and living arrangements of every individual within the scope of the enumeration up to
the lowest geographical level
– – – Sex-disaggregated characteristics of the
entire population
can be presented in detail down to the
lowest geographic level
Locality-specific differentials can be derived Good for identifying vulnerable groups for targeted interventions Censuses provide insights into the private and community spheres and (indirectly) into time-use of women and girls, men and boys
Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
Strengths of census data for gender analysis
Census data for advocacy: A local-level “early warning system” on gender inequalities − − Censuses provide essential background information allowing for further research on women and men, girls and boys Identify data gaps on gender issues Sampling frame
Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
Weaknesses of census data for gender analysis
Census data may not have been produced in a gender responsive way Census data are of very limited scope and depth (basic characteristics) Gender-related discrimination is not explicitly measured by censuses (e.g. why lower schooling rates for females than for males) The level of analysis for census data is sex, not gender The census data may be outdated or of low quality (e.g. due to underreporting on women) Data access and the capacity to analyze census data in the appropriate ways may be problematic
Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
Some interesting questions in censuses
Time spent caring for children: own or of other people (Australia) Looking after, or give any help or support to family members, friends, neighbours or others because of either: (i)long-term physical or mental ill-health/disability, or (ii) problems related to old age (UK) Time spent for sick or disabled household members (Aruba, Australia, Iran, Ireland) Unpaid domestic work carried out in the household (Australia) Matrix of family relationships between household members (Ireland) Children ever born, not only for women, but also for men (Bermuda, Croatia, Hungary) Reasons to migrate (Cambodia, Nepal, Iran) Previous marriages (Ireland, Nepal, Mauritius, Maldives)
Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
Some interesting questions in censuses
Income data detailed by household members or by source (several) Trans-gender identity (India, Thailand) Question about homosexual unions (Germany, Brazil, Croatia, UK) Any kind of activity which generated income (several) Fertility preferences (Kazakhstan, Korea) Ownership of land and/or property (Nepal) Assistance received in the delivery (Cambodia) Sex of person sending remittances (El Salvador)
Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
Some interesting questions in censuses
19 countries ask for the date or the age of the woman at the time of her first marriage 11 countries ask for the date (year) or the age of the mother at the time of birth of the first live-born child 24 countries allow the identification of domestic servants in the household Some countries ask men about polygamous unions Several censuses address causes of disability (Zambia 2010 has spousal violence) 30 countries are asking the questions allowing the estimation of maternal mortality from the census
Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
Gender analysis based on census data
Are there any gender issues (problems, questions related to women/girls and men/boys in society) regarding:
Their relative numbers?
− Age/sex distribution Where they live?
− Spatial distribution (urban/rural) − − Migration Housing conditions Whom they live with?
− − Households and families Marital status
Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
Gender analysis based on census data
Are there any gender issues (problems, questions related to women/girls and men/boys in society) regarding:
Their socio-economic and demographic characteristics?
− Education and literacy − Fertility − − Mortality Labour force participation Vulnerabilities − Special population groups (children, youth, elderly, persons with disabilities)
Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
Population size by age and sex
Numbers of males and females at different ages depends on their numbers at birth, migration patterns and mortality conditions throughout the life cycle Relative proportions of males to females by age group follow an expected pattern with extreme departures (imbalances) requiring investigation of underlying demographic processes (births, deaths, and migration)
Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
Male and female population size by age
Policy relevance: Statistics and indicators on age/sex composition are important to assess the needs of the different age groups (care for pre-school aged children, education for the young, employment for adolescents and working age adults, care for the elderly, etc.) − In terms of distribution by age and sex: Is there a balanced ratio of females to males or is there significantly more of one sex?
− At what ages are deficits of females or males substantial and what are the likely causes as well as consequences?
Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
Male and female population size by age (total, rural/urban)
Tabulation Population by single years of age(age groups)and sex Indicators − Proportional age distribution by sex − − Proportion by sex for each age group Sex ratios Data issues − − − Errors in age reporting Selective under-reporting Distinguishing errors from other issues
Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
Relative sizes (males/females)
Proportion of population by age and sex, total, Malawi (2008) Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
Relative sizes (males/females)
Proportion of population by age and sex, urban, Malawi (2008) Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
Relative sizes (males/females)
Proportion of population by age and sex, rural, Malawi (2008) Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
Relative sizes (males/females)
Proportion of population by sex, by age, total, Malawi (2008) Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
Relative sizes (males/females)
Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
Relative size (males/females)
Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
Sex ratios at birth, selected age groups
Regions At birth 0-4 years Sub-Saharan Africa Middle East and North Africa South Asia South Asia excl. India East Asia and Pacific East Asia and Pacific excl. China
104 105 107 105 113 105
Latin America and the Caribbean CEE/CIS
105 106 104 106
Developing countries
107 107
World
107 107
Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan
103 105 108 105 114 105
5-14 years
102 105 108 105 114 105 104 105 108 107
United Nations Statistics Division 15-24 years
101 105 108 104 109 104 103 103 106 106
Sex ratio by age, total, urban, rural – Malawi (2008)
Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
Sex ratio by age, total – Qatar (2010)
Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
Households and families
Policy relevance: Statistics on household size, composition and headship are useful indicators for gender analysis with regard to living arrangements of families, likely number of wage earners and overall economic needs that have to be provided for within the household − Families with children present a higher likelihood of vulnerability and poverty than families without children − Families of lone mothers (e.g., teenagers) versus those of lone fathers in terms of poverty rates − Care-giving roles of females in home and likely impact on their schooling and participation in formal employment − Living arrangements of elderly persons
Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
Households and families
Policy relevance: Important for identifying the prevalence of one-person households, single-parent and multi-generational families Statistics on household/family characteristics can be linked to data on housing characteristics (living conditions)
Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
Households and families
Tabulations (total, urban, rural): − Population in households by age and sex and relationship to head or other reference member of household, and institutional population by age and sex − Households by household size and age and sex of head of household or other reference − Households by type of household, age and sex of head of household or other reference member − Population in households by age and sex and marital status of head of household or other reference member − Children under 15 years by age and sex and whether living with: (i) b oth parents, (ii) mother only, (iii) father only, (iv) parents and grandparents, and (v) grandparents only
Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
Households and families
Indicators: − Percentage distribution of the population by age and sex and living arrangements (with family, alone, institutional, etc) − Percentage distribution of households by sex and age of head or other reference member of household − Percentage distribution of households by size (population by household size), by age and sex of head or other reference member of household − Percentage distribution population by age, sex and marital status of head or other reference member of household − Percentage distribution of households with children under 15 years of age by age, by presence of both parent, presence of mother only, presence of father only
Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
Households and families
Indicators: − Percentage distribution of households with children under 15 years by number of children, sex and marital status of head − Percentage distribution of elderly persons by age and sex and living arrangements (couple, living alone, with children, grandchildren, other relatives, non-relatives)
Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
Headship rates
Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
Variety of household compositions – Cambodia 2008
Cambodia (2008)
Without other adults With other adults Head without spouse or children
Male Female head head 30,274 68,377 Male Female head head 52,970 174,078
Couple without children
121,031 19,225
Couple with 1-2 children under 15
485,038 38,463 568,448 45,617
Couple with 3+ children under 15 Lone parent with 1-2 children under 15 Lone parent with 3+ children under 15
246,319 12,286 2,835 18,834 81,563 25,275 288,206 32,561 9,601 22,632 173,868 49,643
Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
Living arrangements of older persons – Australia (2011)
65-74 years 75–84 years 85 years and over Living with spouse or partner Living with children or other relatives Group household Lone person Total in private dwellings In non-private dwelling Grand total (no.)
73.8
3.6
2.3
15.3
98.3
1.7
740.9
Living with spouse or partner Living with children or other relatives
59.6
9.5
Group household
1.9
Lone person
25
Total in private dwellings
98.6
In non-private dwelling Grand total (no.)
1.4
775 Male 67.6
4.4
1.7
18.5
95.1
4.9
417 Female 37.4
13.4
1.2
38.8
92.9
7.1
514.5
46.1
7.3
1.2
25.2
82.3
17.7
132.2
11.5
14.8
0.7
40.5
69.3
30.7
250.9
Total 65 years and over
69 4.2
2 17.4
95.7
4.3
1290.1
44.4
11.6
1.5
32.2
91.9
8.1
1 540.4
Headship problems
The definition of ‘head of household’ is vague and in no way uniform across countries thereby putting into question how the results should be interpreted. At least five different concepts of head of household can be found in censuses: − Main breadwinner − − − − Householder Main authority Reference person Questionnaire respondent Gender inequality may take place at the intra-household level (e.g. unequal distribution of earnings and consumption among members of the household). Therefore, focusing on female headed households may not capture these inequalities and be misleading.
Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
Marital status
Policy relevance: Related to living arrangements, educational attainment, fertility… Early marriage interferes with the educational and career development of women much more than for men, especially when early marriage is associated with early pregnancy and childbirth Marital status is related to property rights in some societies Women are more vulnerable to dependency and poverty with early marriage and in likelihood of marital dissolution, e.g., widowhood Polygamy has many potential negative impacts on women
Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
Marital status
Tabulations (total, urban, rural): − Population aged 15 (??) years and older by marital status, age group and sex − Population aged 15 (??) years and older by age at first marriage, age group and sex − Total population 15 years and older, by disability status, marital status, age and sex Data problems: − Definition of marriage and implications for entry into a union − Age mis-reporting
Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
Marital status
Indicators (total, urban, rural) − Percentage distribution of population by age, sex and marital status o Widowhood and divorce related to vulnerability particularly for women − − Sex distribution within marital status categories by age group Age at first marriage by sex o Singulate mean age at marriage by sex o Singulate mean age at marriage by sex and educational attainment o Percentage of women aged 20-24 years old who were married or in a union before age 18 Early marriage (relates to termination of education and lack of career development leading to economic dependency and poverty) Adolescent fertility − Age difference between spouses
Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
Marital status Population 15 years and older by Population 15 years and older by marital status and sex – Egypt (2006)
120 100 80 60 40 20 Male - Never married Male - Married Married - Divorced Male - Widowed Female - Never married Female - Married Female - Divorced Female - Widowed 0 0 - 15 16 - 19 20 - 24 25 - 29 30 - 34 35 - 39 40 - 44 45 - 49 50 - 54 55 - 59 60 - 64 65 - 69 70 - 74
Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan
75 +
United Nations Statistics Division
Tabulation of Census Data – Australia (2011)
Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
Educational characteristics
Policy relevance: − School attendance provides information on access by gender especially for boys and girls − Educational attainment levels of the population give an overview of the distribution of skills and the extent of preparedness for the labour force and is linked to age at marriage, fertility, socio economic status, health and survival of women and children − Literacy is crucial in contemporary society as it ensures access to knowledge and information
Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
Educational characteristics
Tabulations (total, urban, rural): − Population 5 years of age and over by school attendance, educational attainment, age and sex − Population 10 years of age and over by literacy, age and sex − Population 5-29 years of age, by disability status, school attendance, age and sex − Population 15 years of age and over by disability status, educational attainment, age and sex Data problems: − Literacy is self-declared with likelihood of reluctance of some persons to admit not being literate and difficulty of administering test to ascertain literacy
Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
Educational characteristics
Indicators (total, urban, rural): − Percentage distribution of population 5 years of age and over by school attendance, educational attainment, age and sex − Percentage distribution of population 10 years of age and over by literacy, age and sex − Proportionate distribution of population 5 years of age and over by school attendance, educational attainment, age and sex − Proportionate distribution of population 10 years of age and over by literacy, age and sex
Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
School attendance by age and sex, Lesotho (2006)
Total Males Females Age Number Percent Number Percent Number Percent Total 6-12 13-17 18-24 6-12 13-17 18-24 6-12 13-17 18-24 497,110 267,021 172,569 57,520 53,780 39,249 20,601 213,241 133,320 37,934 100.0 53.7 34.7 11.6 47.3 34.5 18.1 55.5 34.7 9.9 239,617 48.2 130,414 48.8 81,064 47.0 28,139 48.9 Urban 26,514 49.3 18,780 10,051 47.8 48.8 103,900 48.7 62,284 18,619 Rural 46.7 49.1
Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan
257,493 136,607 91,505 29,381 27,266 20,469 10,550 109,341 71,036 19,315 51.8 51.2 53.0 51.1 50.7 52.2 51.2 51.3 53.3 50.9
United Nations Statistics Division
Educational attainment by sex, Lesotho (2006)
Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
Fertility Analysis
Policy relevance: Early and repeated child-bearing: − Poses risks for women’s health and often keeps them from obtaining sufficient education or training to ensure a secure future for themselves and their children − Interferes with employment o When education is truncated, opportunities for employment are limited o Women tend to withdraw from labour force to attend to family and take care of young children with likely consequences for career development
Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
Fertility Analysis
Tabulations (total, urban, rural): 1) Female population 15 years of age and over, by age and number of children ever born alive by sex 2) 3) Female population 15 years of age and over, by age and educational attainment and number of children ever born alive by sex Female population 15-49 years of age, number of live births, by sex, within the 12 months preceding the census Data problems: 1) 2) Recall errors Reporting by a proxy
Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
Basic fertility indicators
Indicators: Total, urban, rural Age specific fertility rates Total fertility rate (by education) Parity progression ratios (by education) Adolescent birth rate (15-19) Age at birth of first child born alive (by education) Percentage of childless women (Age 40-44 or 45-49)
Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
Tabulation of Census Data – Fertility Analysis
The standard tables that NSOs prepare in their general purpose census reports are geared towards the estimation of fertility levels and patterns (ASFRs/TFRs), for the general population or possibly some sub-groups In practice, this means: − Even though the majority of censuses (except 10) allow disaggregating births by sex, this is often not done − In many cases only the total/average number of children by age category of the mother is tabulated, not a distribution by number of children ever born
Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
Tabulation of Census Data – Fertility Analysis (contd.)
Disaggregation by sex would allow the computation of Sex Ratios at Birth (SRBs) which is an important indicator in some countries. Alternatively, one may compute the sex ratio among children under age 1, but this already contains a mortality component. The distribution by numbers of children ever born would allow the analysis of childlessness by age category and preferably by marital status category. This is a major gender issue in many parts of the world.
Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
Tabulation of Census Data
Example 1.B. Childlessness Producing statistics on childlessness (preferably by marital status) serves two purposes: To quantify this phenomenon, which in many countries represents a significant social stigma, more so for women than for men. In many developed countries, on the other hand, childlessness is clearly on the rise, e.g. 21.0% of women aged 40, in the 2010 census of Finland, as opposed to 9.9% (Cambodia, 2008) and 7.0% (Ethiopia, 2007).
To relate childlessness to certain negative social repercussions, such as divorce/separation. The problem, however, is that this relation can go both ways (Nepal, 2001: 43.5% of divorced women were childless ).
Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
Special population groups
Children (under 15 years) – school attendance, relationship to head or reference member of household − − Infant and child mortality by sex Related to the girl child (school attendance, mortality, early marriage) Youth (15-24 years) – school attendance, educational attainment, literacy, marital status, age at marriage, fertility, economic activity status Elderly (60 years and over) – marital status, living arrangements Persons with disabilities – place of residence, living arrangements, marital status, school attendance, educational attainment, economic activity status
Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
Tabulation of Census Data
Example 2 Disability and Marriage El Salvador (2007) - Percentage of ever married 30-39 year olds by sex and type of disability Type of Disability Difficulty Walking or Moving Difficulty in Use of Hands or Arms Sight Impairment, Even Using Glasses Hearing Impairment, Even Using Hearing Aids Speech Impairment Mental Retardation or Deficiency Difficulty Bathing, Clothing, Eating Other Type of Disability No Disability of Any Type
Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan
Men 57.0
53.4
68.8
39.3
21.4
6.9
31.8
51.9
79.1
Women 49.9
48.0
67.0
42.5
28.2
16.0
38.7
51.7
77.1
United Nations Statistics Division
Conclusion
Censuses have obvious limitations, especially with respect to the subjects that can be investigated: No gender-based violence No female genital mutilation No male and female fertility preferences No distribution of resources within the household No time use information, etc. etc. etc.
However: − A lot of census information is relevant to gender analysis, if properly analyzed − − Some censuses have special questions on gender-related topics Census data can be disaggregated to much more specific levels than is possible with surveys − Census data may be merged with surveys on specific topics, e.g. poverty surveys
Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division
Thank you اركش
Regional Workshop on Integrating a Gender Perspective in the Production of Statistics 1-4 December 2014, Amman, Jordan United Nations Statistics Division