An overview of women’s work and employment in Azerbaijan
Table 12. Employment by employment status, working week (distribution of hours usually worked) and
gender, Azerbaijan, 2003
total labour force |
paid employees |
self-employed | |||||||
hours |
total |
men |
women |
total |
men |
women |
total |
men |
women |
< 9_______ |
________0 |
________0 |
________0 |
________0 |
________0 |
________0 |
________0 |
________0 |
________0 |
9-15 |
________2 |
______1 |
_______4 |
________2 |
______1 |
_______4 |
________2 |
______1 |
________4 |
16-20 |
_______4 |
________3 |
_________6 |
________3 |
________2 |
_________5 |
_________5 |
________4 |
________7 |
21-30 |
_______11 |
_________9 |
_______14 |
_________6 |
_______4 |
_______10 |
_______17 |
_______15 |
_______19 |
31-40 |
______54 |
_______53 |
_______55 |
_______65 |
_______64 |
_______65 |
_______41 |
_______38 |
______45 |
41-50 |
_______19 |
_______21 |
_______16 |
_______15 |
_______17 |
_______13 |
______23 |
______26 |
_______19 |
> 50 |
_______10 |
_______13 |
_________5 |
_________9 |
_______12 |
________3 |
_______12 |
_______16 |
_________8 |
Total_______ |
100 |
100 |
100 |
100 |
100 |
100 |
100 |
100 |
100 |
x mln. |
3,38 |
1,98 |
1,40 |
1,85 |
1,11 |
0,74 |
1,53 |
0,86 |
0,67 |
Source: authors’ calculations based on ILO, Laborsta
More recent working hours information divided by gender comprises only averages, like presented in
Table 13 for 2008 for paid employees.
Table 13. Average monthly working hours by industry and by gender, paid employees, Azerbaijan, 2008
total male female
agriculture_______________________ |
____________________149.4 |
_____________________148.5 |
____________________152.4 |
fishing___________________________ |
____________________163.8 |
_____________________158.5 |
____________________179.2 |
mining_____________________ |
____________________154.7 |
_____________________155.5 |
____________________149.2 |
manufacturing________________ |
____________________135.8 |
_____________________135.0 |
____________________138.5 |
utilities (gas, water, electr.)________ |
____________________154.4 |
____________________155.5 |
____________________149.4 |
construction___________________ |
____________________169.6 |
_____________________170.1 |
____________________163.4 |
wholesale and retail_____________ |
____________________155.3 |
____________________153.7 |
____________________159.0 |
transport, storage, commun. |
____________________156.6 |
____________________156.4 |
____________________157.0 |
restaurants, hotels________________ |
____________________147.2 |
_____________________142.3 |
____________________157.7 |
finance_________________________ |
____________________154.4 |
____________________156.4 |
____________________148.4 |
real estate, renting, business |
____________________157.0 |
____________________155.2 |
_____________________160.1 |
public administrat., defense |
____________________160.3 |
_____________________160.5 |
____________________159.8 |
education_____________________ |
____________________145.8 |
_____________________145.8 |
____________________145.8 |
health, social work______________ |
____________________145.8 |
_____________________145.8 |
____________________145.8 |
other community and personal |
157.9 |
157.0 |
158.7 |
Total___________________________ |
____________________151.5 |
_____________________152.5 |
____________________150.2 |
Source: ILO Laborsta, Table 4A
The overall gender difference is quite small: male employees worked 2.3 hours per month longer than
females. However, it should be noted that in eight of 15 industries the average monthly hours of the females
were longer -- in fishing (over 20 hours difference), wholesale and retail (5.3 hours difference), restaurants
and hotels (15.4 hours difference), and real estate et cetera (4.9 hours difference) even much longer. Re-
markable are the relatively short working months in 2008 in manufacturing industry, also compared to 200,
Page • 47
More intriguing information
1. TECHNOLOGY AND REGIONAL DEVELOPMENT: THE CASE OF PATENTS AND FIRM LOCATION IN THE SPANISH MEDICAL INSTRUMENTS INDUSTRY.2. Deletion of a mycobacterial gene encoding a reductase leads to an altered cell wall containing β-oxo-mycolic acid analogues, and the accumulation of long-chain ketones related to mycolic acids
3. Restricted Export Flexibility and Risk Management with Options and Futures
4. The name is absent
5. Database Search Strategies for Proteomic Data Sets Generated by Electron Capture Dissociation Mass Spectrometry
6. Running head: CHILDREN'S ATTRIBUTIONS OF BELIEFS
7. The name is absent
8. LIMITS OF PUBLIC POLICY EDUCATION
9. A Multimodal Framework for Computer Mediated Learning: The Reshaping of Curriculum Knowledge and Learning
10. The name is absent