The OECD Development Centre’s Social Institutions and Gender Index (SIGI) is a unique cross-country measure of discriminatory social institutions, encompassing formal and informal laws, social norms and practices that restrict women’s and girls’ rights, access to empowerment opportunities and resources. The SIGI consists of four components that provide policy makers with facts and evidence to enhance governments’ efforts to deliver on gender equality commitments (Box I).
SIGI 2021 Regional Report for Africa
Reader’s guide
The Social Institutions and Gender Index 2019 conceptual framework
Box I. The four SIGI components
Country profiles contain comprehensive, qualitative information on legal frameworks and action plans to protect women’s rights and promote gender equality (for 180 countries).
The Gender, Institutions and Development Database (GID-DB) comprises variables measuring the level of discrimination in laws (categorical variable), social norms (attitudinal data) and practices (prevalence rates) for 180 countries
A cross-country ranking classifies 120 countries according to their level of discrimination in social institutions.
A policy simulator allows policy makers to scope out reform options and assess their likely effects on gender equality in social institutions.
The SIGI focuses on gaps that legislation, attitudes and practices create between women’s and men’s rights and opportunities. The Index covers four dimensions spanning major socio-economic areas that affect women’s and girls’ entire lifetimes (Figure I):
“Discrimination in the family” captures social institutions that limit women’s decision-making power and undervalue their status in the household and the family.
“Restricted physical integrity” captures social institutions that increase women’s and girls’ vulnerability to multiple forms of violence and limit their control over their bodies and reproductive autonomy.
“Restricted access to productive and financial resources” captures women’s restricted access to and control over critical productive and economic resources and assets.
“Restricted civil liberties” captures discriminatory laws and practices restricting women’s access to and participation and voice in the public and social spheres.
Each dimension builds on four indicators combining qualitative and quantitative information. In theory, each indicator builds on a combination of three variables:
Laws are discrete variables that are used to measure the level of discrimination in formal and informal laws.
Attitudes and practices are continuous variables that are used to measure the level of discrimination in social norms.
In practice, the variables used as proxies for each indicator depend on data availability, reliability and country coverage. For example, some variables are not available at all (e.g. information on inheritance practices), while others are available only for a few countries (e.g. time spent on unpaid care work). Consequently, discrepancies exist between the theoretical framework and the variables included in the SIGI 2019. Overall, the SIGI framework builds on 27 core variables.
The SIGI 2019 is the fourth edition of the SIGI. For this edition, the conceptual framework was entirely revised, which renders comparison over time impossible at the aggregate level (index, dimensions and indicators). Nevertheless, some comparison over time is possible at the variable level for attitudes and practices. For more details on the SIGI methodology, refer to Annex B.
Geographical coverage
The data collection process for the fourth edition of the SIGI in 2019 covered 54 countries in Africa classified into five sub-regions (Table I).
Table I. Countries included in the SIGI analysis, by sub-regions
Central Africa |
East Africa |
North Africa |
Southern Africa |
West Africa |
---|---|---|---|---|
Burundi |
Comoros |
Algeria |
Angola |
Benin |
Cameroon |
Djibouti |
Egypt |
Botswana |
Burkina Faso |
Central African Republic |
Eritrea |
Libya |
Eswatini |
Cabo Verde |
Chad |
Ethiopia |
Mauritania |
Lesotho |
Côte d'Ivoire |
Democratic Republic of the Congo |
Kenya |
Morocco |
Malawi |
Gambia |
Equatorial Guinea |
Madagascar |
Tunisia |
Mozambique |
Ghana |
Gabon |
Mauritius |
|
Namibia |
Guinea |
Congo |
Rwanda |
|
South Africa |
Guinea-Bissau |
Sao Tome and Principe |
Seychelles |
|
Zambia |
Liberia |
|
Somalia |
|
Zimbabwe |
Mali |
|
South Sudan |
|
Niger |
|
|
Sudan |
|
|
Nigeria |
|
Uganda |
|
|
Senegal |
|
Tanzania |
|
|
Sierra Leone |
|
|
|
|
Togo |
Only 31 African countries were given a SIGI score in 2019, due to data limitations and the fact that an overall SIGI score can be computed only for countries with data points in every single indicator and variable comprising the index (Figure II).
Conversely, 23 African countries lack sufficient data to compute scores across all 16 SIGI indicators (Table II). The most problematic variables from a data point of view are:
The practice variable of the “Violence against women” indicator, which measures the share of women who have suffered intimate partner physical and/or sexual violence during their lifetime. Data for this variable are missing for 16 African countries.
The practice variable of the “Access to financial services” indicator, which measures the share of women within the total population aged 15 years and over who have an account at a financial institution. Data for this variable are missing for 10 African countries.
The attitude variable of the “Workplace rights” indicator, which measures the share of the population that disagrees with the statement: “It is perfectly acceptable for any woman in your family to have a paid job outside the home if she wants to”. Data for this variable are missing for 12 African countries.
The practice variable of the “Workplace rights” indicator, which measures the share of women within the total population employed in management. Data for this variable are missing for 14 African countries.
The practice variable of the “Freedom of movement” indicator, which measures the share of women within the total population who declare not feeling safe walking alone at night in the city or area where they live. Data for this variable are missing for 14 African countries.
The practice variable of the “Access to justice” indicator, which measures the share of women within the total population who declare not having confidence in the judicial system and courts of their country. Data for this variable are missing for 15 African countries.
Table II. Number of SIGI variables available, by country
|
Child marriage |
Household responsibilities |
Divorce |
Inheritance |
Violence against women |
Female genital mutilation |
Missing women |
Reproductive autonomy |
Land assets |
Non-land assets |
Financial services |
Workplace rights |
Citizenship rights |
Political voice |
Freedom of movement |
Access to justice |
Number of variables available |
Number of variables missing |
|||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
L |
P |
L |
L |
L |
L |
A |
P |
A |
P |
P |
L |
P |
L |
L |
L |
P |
L |
A |
P |
L |
L |
P |
L |
P |
L |
P |
|||
Benin |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
27 |
- |
Burkina Faso |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
27 |
- |
Cameroon |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
27 |
- |
Central African Republic |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
27 |
- |
Chad |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
27 |
- |
Côte d'Ivoire |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
27 |
- |
Democratic Republic of the Congo |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
27 |
- |
Ethiopia |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
27 |
- |
Gabon |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
27 |
- |
Ghana |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
27 |
- |
Guinea |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
27 |
- |
Kenya |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
27 |
- |
Lesotho |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
27 |
- |
Liberia |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
27 |
- |
Madagascar |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
27 |
- |
Malawi |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
27 |
- |
Mali |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
27 |
- |
Morocco |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
27 |
- |
Mozambique |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
27 |
- |
Namibia |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
27 |
- |
Nigeria |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
27 |
- |
Rwanda |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
27 |
- |
Senegal |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
27 |
- |
Sierra Leone |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
27 |
- |
South Africa |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
27 |
- |
Tanzania |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
27 |
- |
Togo |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
27 |
- |
Tunisia |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
27 |
- |
Uganda |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
27 |
- |
Zambia |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
27 |
- |
Zimbabwe |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
27 |
- |
Algeria |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
- |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
26 |
1 |
Gambia |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
- |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
26 |
1 |
Botswana |
+ |
+ |
+ |
+ |
+ |
+ |
- |
- |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
25 |
2 |
Congo |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
- |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
- |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
25 |
2 |
Mauritania |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
- |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
- |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
25 |
2 |
Mauritius |
+ |
+ |
+ |
+ |
+ |
+ |
- |
- |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
25 |
2 |
Niger |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
- |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
- |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
25 |
2 |
South Sudan |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
- |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
- |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
25 |
2 |
Angola |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
- |
+ |
+ |
+ |
+ |
+ |
- |
+ |
- |
24 |
3 |
Egypt |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
- |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
- |
+ |
- |
24 |
3 |
Libya |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
- |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
- |
+ |
+ |
+ |
+ |
+ |
+ |
- |
24 |
3 |
Burundi |
+ |
+ |
+ |
+ |
- |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
- |
+ |
+ |
+ |
+ |
+ |
- |
+ |
- |
23 |
4 |
Sao Tome and Principe |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
- |
+ |
- |
+ |
+ |
+ |
+ |
+ |
- |
+ |
- |
23 |
4 |
Somalia |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
- |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
- |
+ |
+ |
+ |
+ |
- |
+ |
- |
23 |
4 |
Cabo Verde |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
- |
+ |
- |
- |
+ |
+ |
+ |
+ |
- |
+ |
- |
22 |
5 |
Comoros |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
- |
+ |
- |
- |
+ |
+ |
+ |
+ |
- |
+ |
- |
22 |
5 |
Equatorial Guinea |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
- |
+ |
- |
- |
+ |
+ |
+ |
+ |
- |
+ |
- |
22 |
5 |
Sudan |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
- |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
- |
- |
+ |
+ |
+ |
+ |
- |
+ |
- |
22 |
5 |
Eritrea |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
- |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
- |
+ |
- |
- |
+ |
+ |
+ |
+ |
- |
+ |
- |
21 |
6 |
Eswatini |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
- |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
- |
+ |
- |
- |
+ |
+ |
+ |
+ |
- |
+ |
- |
21 |
6 |
Guinea-Bissau |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
- |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
- |
+ |
- |
- |
+ |
+ |
+ |
+ |
- |
+ |
- |
21 |
6 |
Djibouti |
+ |
+ |
+ |
+ |
+ |
+ |
- |
- |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
+ |
- |
+ |
- |
- |
+ |
+ |
+ |
+ |
- |
+ |
- |
20 |
7 |
Seychelles |
+ |
+ |
+ |
+ |
+ |
+ |
- |
- |
+ |
+ |
+ |
+ |
- |
+ |
+ |
+ |
- |
+ |
- |
+ |
+ |
+ |
+ |
+ |
- |
+ |
- |
20 |
7 |
Note: Law variables are labelled L, attitude variables are labelled A and practice variables are labelled P. Countries are ordered by the number of variables available.
Source: (OECD Development Centre/OECD, 2019[3]), Gender, Institutions and Development Database, https://doi.org/10.1787/ba5dbd30-en.
Timing and data sources
Qualitative data
The qualitative information for the 54 African country profiles was developed through a multiple-stage internal drafting and reviewing process. First, legal consultants responded to a questionnaire comprising 312 questions on social institutions and fully referenced country profiles, which followed a standardised structure to ensure comparability across countries/territories. Second, gender experts and/or government representatives with knowledge of the national policy and legal landscape for gender equality and women’s rights validated the responses. The cut-off date for the qualitative information was 30 June 2017. Publishing qualitative data (i.e. legal variables) across 180 countries is a multistage and complex process (data collection, process, management, validation and dissemination) that takes more than one year. This explains the delay between the collection cut-off date and the publication of the SIGI global data. All country profiles can be retrieved from the website www.genderindex.org.
A coding manual was created to quantify the level of legal discrimination based on the qualitative legal information collected. The coding manual ensures consistency across variables, guarantees objectivity in the selection criteria for scoring, and allows for comparability across countries as well as over time (see Annex B). Of the 312 questions, 144 were used to assign a discrete value to each of the 14 legal variables. The coding manual is based on all applicable legal frameworks, including civil, as well as customary, religious or traditional practices or laws. When information is missing or insufficient, variables do not receive a value. A five-level scale (0, 25, 50, 75 and 100) serves as the basis for encoding the categorical variables and reflects the level of discrimination in formal and informal laws (Table III).
Table III. Scoring methodology for legal variables
|
Score |
---|---|
The legal framework provides women with the same rights as men, with no exceptions, and applies to all groups of women. There are no customary, religious or traditional practices or laws that discriminate against women. |
0 |
The legal framework provides women with the same rights as men, with no exceptions, and applies to all groups of women. However, some customary, religious or traditional practices or laws do discriminate against women. |
25 |
The legal framework provides women with the same rights as men. However, it foresees exceptions or does not apply to all groups of women. |
50 |
The legal framework restricts some women’s rights. |
75 |
The legal framework fully discriminates against women’s rights. |
1 |
Source: (OECD, n.d.[1]), Social Institutions and Gender Index, www.genderindex.org.
Quantitative data
Quantitative information, such as attitudinal and prevalence data, was collected from various secondary data sources according to the country and variable. The OECD Development Centre’s Gender Team used international data sources – such as Demographic and Health Surveys (DHS), the World Values Survey (WVS) and the National Household Survey (NHS) – and then proceeded to harmonise the data in order to ensure comparability across countries. The cut-off date for the quantitative information was 31 December 2017.
SIGI scores and classification
The SIGI is a composite index. The scores for the overall index, the dimensions and the indicators range from 0 to 100, with 0 indicating no discrimination and 100 indicating absolute discrimination against women. In order to facilitate the analysis and presentation of results, countries are classified into five categories at the index level, as well as at the dimension and indicator levels. Table IV summarises the categories and the cut-off points of the different categories based on the SIGI and the dimension and indicator scores.
Table IV. Classification of countries based on SIGI scores and dimension/indicator scores
Level of discrimination |
SIGI scores |
Dimension/indicator scores |
---|---|---|
Very low |
[0-20] |
[0-10] |
Low |
[20-30] |
[10-25] |
Medium |
[30-40] |
[25-50] |
High |
[40-50] |
[50-75] |
Very high |
[50-100] |
[75-100] |
Note: Both SIGI scores and dimension/indicator scores range from 0 to 100, with 0 indicating no discrimination and 100 indicating absolute discrimination.
Source: (OECD, n.d.[1]), Social Institutions and Gender Index, www.genderindex.org.
Glossary and definition of terms
Term |
Definition |
Reference |
---|---|---|
Child marriage |
Any formal marriage or informal union between a child under the age of 18 years and an adult or another child |
|
Customary, religious or traditional practices or laws |
Customs, religions and traditional practices observed among a specific community |
|
Discrimination against women |
Any distinction, exclusion or restriction made on the basis of sex that has the effect or purpose of impairing or nullifying the recognition, enjoyment or exercise by women |
|
Domestic violence |
Violence that occurs within the private sphere, generally between individuals who are related through blood, intimacy or law |
|
Equal access |
Equal opportunities to have access to resources, assets, services, training and education opportunities, markets, sources of income and decent employment opportunities |
|
Equal opportunity |
Equality in employment regardless of race, skin colour, sex, religion and so forth; non-discriminatory practices in hiring employees |
|
Female genital mutilation |
All procedures involving partial or total removal of the external female genitalia or other injuries to the female genital organs for non-medical reasons |
|
Femicide |
Intentional killing of females (women or girls) because they are females |
|
Forced marriage |
A marriage that takes place without the free or valid consent of one or both of the partners and involves either physical or emotional duress |
|
Gender-based violence |
Any harmful act directed against individuals or groups of individuals on the basis of their gender or sex |
|
Gender gap |
Disproportionate difference between men and women and boys and girls, particularly as reflected in attainment of development goals, access to resources and levels of participation |
|
Gender norms |
Ideas about how men and women should be and act. Most such rules are learned and internalised early in life, which creates an inter-generational cycle of gender socialisation and stereotyping. |
|
Gender-responsiveness |
Creation of an environment that reflects an understanding of girls’ and women’s realities and needs, and that addresses them by paying attention to the unique needs of females; valuing their perspectives; respecting their experiences; understanding developmental differences between girls and boys, women and men; and ultimately empowering girls and women |
|
Missing women |
The shortfall in the number of girls aged 0-4 years, relative to their expected survival rate in the absence of sex-selective abortions and female infanticide, and with similar levels of health and nutrition to boys, correcting for natural biological and physiological differences. Amartya Sen, who introduced the concept, hypothesised that more than 100 million women were missing due to the excess mortality of women from inequality and neglect. |
|
Sexual and reproductive health and rights |
Right for all to make choices regarding their own sexuality and reproduction, providing they respect the rights of others to bodily integrity. This definition also includes the right to access information and services needed to support these choices and optimise health. |
|
Sexual harassment |
Unwelcome sexual advances, requests for sexual favours, and other verbal or physical conduct of a sexual nature Unwelcome behaviours, advances and practices of a sexual nature that may include, but are not limited to sexual suggestions or demands; requests for sexual favours; and sexual, verbal or physical conduct or gestures that are or might reasonably be perceived as offensive or humiliating |
|
Unmet need for family planning |
Gap between women’s reproductive intentions and their contraceptive behaviour, defined as the proportion of currently married or in-union women of reproductive age (15-49 years) who want to cease or delay childbearing but are not using any method of contraception |
|
Violence against women |
Any act of gender-based violence that results in, or is likely to result in, physical, sexual or psychological harm or suffering to women, including threats of such acts, coercion or arbitrary deprivation of liberty, whether occurring in public or private life |
References
[6] CEDAW (2017), General recommendation No. 35 on gender-based violence against women, updating general recommendation No. 19.
[7] FAO (2016), Meeting our goals. FAO’s programme for gender equality in agriculture and rural development, http://www.fao.org/3/a-i6618e.pdf (accessed on 11 June 2020).
[2] OECD (2019), “Social Institutions and Gender Index (Edition 2019)”, OECD International Development Statistics (database), https://dx.doi.org/10.1787/f0c48e52-en (accessed on 20 October 2021).
[1] OECD (n.d.), Social Institutions and Gender Index, https://www.genderindex.org/ (accessed on 11 June 2020).
[3] OECD Development Centre/OECD (2019), “Gender, Institutions and Development (Edition 2019)”, OECD International Development Statistics (database), https://dx.doi.org/10.1787/ba5dbd30-en (accessed on 20 October 2021).
[10] OHCHR (n.d.), Child, early and forced marriage, including in humanitarian settings, https://www.ohchr.org/EN/Issues/Women/WRGS/Pages/ChildMarriage.aspx (accessed on 11 June 2020).
[14] Sen, A. (1990), “More Than 100 Million Women Are Missing”, The New York Review of Books, Vol. 37/20.
[12] UN Women (n.d.), Gender Equality Glossary, https://trainingcentre.unwomen.org/mod/glossary/view.php?id=36 (accessed on 11 June 2020).
[13] UNICEF (2017), Gender Equality: Glossary of Terms and Concepts.
[4] UNICEF (n.d.), Child marriage, https://www.unicef.org/protection/child-marriage (accessed on 11 June 2020).
[15] United Nations (2018), Resolution 73/148: Intensification of efforts to prevent and eliminate all forms of violence against women and girls: sexual harassment, https://digitallibrary.un.org/record/1660337?ln=en.
[16] United Nations (2014), World Contraceptive Use 2014 (POP/DB/CP/Rev2014), https://www.un.org/en/development/desa/population/publications/dataset/contraception/wcu2014/Metadata/WCU2014_UNMET_NEED_metadata.pdf.
[9] United Nations (2008), Eliminating Female genital mutilation, https://apps.who.int/iris/bitstream/handle/10665/43839/9789241596442_eng.pdf.
[11] United Nations (1993), Resolution 48/104: Declaration on the Elimination of Violence against Women, https://www.un.org/en/genocideprevention/documents/atrocity-crimes/Doc.21_declaration%20elimination%20vaw.pdf.
[5] United Nations (1979), Convention on the Elimination of All Forms of Discrimination against Women (CEDAW), https://www.refworld.org/docid/3ae6b3970.html.
[8] United Nations (n.d.), Principle 6 | UN Global Compact, https://www.unglobalcompact.org/what-is-gc/mission/principles/principle-6.