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DEMOGRAPHICS

WOMEN

MEN

WOMEN

MEN

JOBS

EDUCATION

LIVING ABOVE US$ 5.00

LIVING BETWEEN US$ 2.50- 5.00

LIVING BELOW US$ 2.50

Women Men

Sector share of total employment

Source: 1 WDI. 2 World Bank ECATSD using EUSILC.

EUROPE AND CENTRAL ASIA

GENDER AT A GLANCE

LATVIAGNI per capita (Atlas Method, US$)1

15,280 (2013)

Population living below US$2.5023% (2011)

Population living below US$5.00211% (2011)

GNI per capita loss due to gender gaps in the 4% (2010)

labor market3

Most recent….

Government Gender Action Plan

Country Gender Assessment4

2012-2014

2015

3 Teignier, Marc and David Cuberes (2014). "Aggregate Costs of

Gender Gaps in the Labor Market: A Quantitative Estimate."

Universitat de Barcelona Economics Working Papers 2014/308.4 EU.

MILLENIUM DEVELOPMENT GOAL PROGRESS

Ratio of girls to boys in primary

education

98 (2002) 99 (2012)

Ratio of girls to boys in secondary

education

101 (2002) 97 (2012)

Ratio of girls to boys in tertiary

education

166 (2002) 154 (2012)

Share of women in wage employment

in the non-agricultural sector

53% (2002) 54% (2012)

Proportion of seats held by women in

national parliament18% (2002) 18% (2015)

Source: World Bank Gender Statistics, Inter Parliamentary Union.

GLOBAL INDICES Score Max Rank Year

WORLD ECONOMIC FORUM

Global Gender Gap Index 0.7691 1 15/142 2014

UNDP

Gender Inequality Index 0.2220 0 42/152 2013

OECD

Social Institutions & Gender Index 0.0511 0 24/108 2014

EU

Gender Equality Index - 100 - 2013

POPULATION BY AGE AND POVERTY STATUS (MILLIONS), 2011Source: World Bank ECATSD using EUSILC.

0.30 0.20 0.10 0.00 0.10 0.20

0-14

15-24

25-34

35-44

45-54

55-64

65-older

SHARE OF TERTIARY GRADUATES BY AREA OF STUDY (%), 2012Source: World Bank Gender Statistics.

0% 50% 100%

Engineering, manufacturing and construction

Science

Agriculture

Services

Social science, business and law

Humanities and arts

Education

Health

SHARE OF EMPLOYMENT BY SECTOR* (%), 2014Source: EuroStat. *Sectors include those with highest shares of total employment

0% 50% 100%

Construction

Transportation and storage

Agriculture, forestry and fishing

Manufacturing

Public administration and defence;

compulsory social security

Wholesale and retail trade; repair of motor

vehicles and motorcycles

Professional, scientific and technical

act ivities

Education

Human health and social work act ivities 9%

10%

8%

13%

7%

15%

5%

9%

6%

EMPLOYMENT BY AGE GROUP (%), 2012Source: World Bank ECATSD using EUSILC.

0

20

40

60

80

100

15-24 25-34 35-44 45-54 55-64

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Source: Women, Business, and the Law (2013).

The constitution of Latvia guarantees equality for men and women before the law. Men and women have equal ownership

and inheritance rights to property. There are no laws restricting the industries in which women may work. Women are enti-

tled to 112 calendar days of maternity leave with 68% of wages paid. Men are entitled to 10 days of paternity leave with 68% of wages

paid. Parents are entitled to an additional 547.5 days of partially paid parental leave. The law guarantees pregnant and nursing women workplace protections from

dismissal, placement in an equivalent position when they return from maternity leave, and rights to a flexible schedule. The law stipulates public provision of childcare for

children under the age of primary education. The age at which both men and women can retire and receive full benefits is 65. There is no legislation that specifically address-

es domestic violence.

LEGAL FRAMEWORK

Latvia

Europe & Central

Asia OECD High Income Year*

Male Female Male Female Male Female Male Female

Endowments: Education, Health, and Demographics

Gross pre primary enrollment (% of relevant age group)1 93 92 78 77 87 86 2012

Gross primary enrollment (% of relevant age group)1 103 103 102 102 102 101 101 101 2012

Gross secondary enrollment (% of relevant age group)1 99 96 100 98 98 98 101 100 2012

Gross tertiary enrollment (% of relevant age group)1 52 79 57 69 65 77 67 84 2012

Adult literacy rate (% aged 15 and above)1 100 100 99 99 2011

Labor force with tertiary education (% of relevant group)1 22 40 26 32 26 31 31 39 2012

Life expectancy at birth (years)1 69 79 73 80 77 83 76 82 2012

Maternal mortality rate (per 100,000 live births)1 - 13 - 18 - 21 - 17 2013

Fertility rate (births per woman)1 - 1.4 - 1.7 - 1.8 - 1.7 2012

Access to Economic Opportunity

Labor participation rate (% of population ages 15-64)1 78 73 78 63 79 62 79 65 2013

Unemployment (% of labor force)1 11.8 10.5 9.7 9.5 8.0 8.0 7.7 7.8 2013

Youth unemployment (% of population ages 15-24)1 19.1 21.7 21.7 22.4 17.5 17.2 18.3 18.5 2013

Self-employed (% of employed men/women)1 14 9 22 16 18 13 15 10 2012

Employment rate of persons ages 25-49 with a child under 3 living in household 2 86 62 2012

Firms with female participation in ownership (% of firms)1 - 36 - - - 2013

Gender pay gap (in average monthly earnings, % of men's wages, unadjusted)2 - 17 - 23 - - 2012

Account at a formal financial institution (% age 15+)1 87 92 73 66 86 80 92 87 2011

Land owners (% of adult population)1

Agency

Proportion of seats held by women in national parliaments (%)3 - 18 - 20 - - 2015

Share of women among members of municipal councils or other local area governing

bodies2

- 31 - 31 - - 2013

Firms with female top managers (%)1 - 32 - - - 2013

Proportion of women in ministerial level positions (%)1 - 31 - 21 - 27 - 21 2014

Percentage agreeing that a husband is justified in hitting or beating his wife4

Women who have experienced physical and/or sexual violence by a partner and/or non-

partner since the age of 155

- 39 - - - 2015

KEY INDICATORS

*Indicates year of country data. All benchmarking data is from the most recent available year.

Source: 1 World Bank Gender Statistics. 2 UNECE. 3 Inter-Parliamentary Union (as of 1/ 1/2015). 4 Demographic and Health Survey. 5 EU Violence Against Women Survey.

ABOUT THE DATA

Practice at the World Bank Group. All indicators are as of 03/19/15

QUESTIONS?

Where possible, data is from harmonized regionally comparable sources. All numbers based on microdata in this document calculated

by the Europe and Central Asia Team for Statistical Development (ECATSD) are produced using the 2005 PPPs, as the use of the 2011

PPPs in the calculation of global poverty estimates still requires additional analysis. This note was produced by the Poverty Global

For more information, please visit the Gender Data Portal at http://data.worldbank.org/topic/gender .

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