Free Essay

[Micah] L

In:

Submitted By micah125
Words 24138
Pages 97
MINISTRY OF PLANNING AND INVESTMENT
GENERAL STATISTICS OFFICE

REPORT
ON LABOUR FORCE SURVEY
Quarter 2, 2015

Ha Noi, 2015

1

INTRODUCTION

On 10 November 2014, the General Director of General Statistic Office issued Decision No 1287/QD-TCTK on the 2015 Labour force survey, along with its survey plan. The purpose of the survey was to collect the information on 2015 labor market participation from those people who are 15 years old and above currently residing in Vietnam; regarded as a basic for aggregating and compiling national statistical indicators on labor, employment, unemployment and income. These results would support for ministries and branches assessing and comparing the changes in labour market among quarters within the reference year as well as with those of previous annual labour force surveys conducted by GSO. These results would be also considered as a basic to develop and plan policies on human resource development; activities of investment, production and business accordant with the development trend on labor market; as well as to access and apply International Labor Organization’s updated recommendations on labor and employment, especially in term of “labor under-utilization” into the reality of Vietnam. The statistics would be aggregated quarterly for the national and regional levels; and yearly for the provincial level.

This report would present major findings of labour force survey in quarter 2, 2015 in order to provide information about labour market and employment for users. As a result of the survey coverage on labor market only relating to those people who were 15 years old, currently residing in Vietnam at the survey period, therefore, the indicators on labor and employment presented in this report would mainly be calculated for those persons aged 15 and above. However, due to the demand of researching, assessing and analyzing information about the labour market and employment situation for the working age group (including males aged from 15 to 59 and females aged from 15 to 54), the report would also provide some basic indicators on labor and employment for this group.

The 2015 Labor force survey has received technical supports of International Labor Organization (ILO). GSO highly appreciates these supports
3

2

and wishes to continuously receive more supports from ILO in succeeding surveys.

GSO hopes that this report will meet requirements of basic information for social economic policy markers, especially for those who are engaging into the field of labor and employment. We warmly welcome all constructive comments from readers.

Sincere thanks./.

For comments and information in details, please contact to: Department of Population and Labor Statistics, General Statistics Office, 6B Hoang Dieu, Ha Noi. Tel: +(84 4) 38 230100, 38 433 353; Fax: +(84 4) 37 339287; Email: dansolaodong@gso.gov.vn

GENERAL STATISTICS OFFICE

3

TABLE OF CONTENTS

Introduction 2 Contents 4 I SUMMARY 5 II. MAJOR FINDINGS 8 1. Labour force 8 1.1 Size of labour force and labour force participation rate ................... …8 1.2 Age structure of labour force 9 2. Employment 10 3. Underemployment and unemployment 12 4.1 Number of underemployed and unemployed laborers 12 4.2 Underemployment rate and unemployment rate.............................….14 III. TABULATED TABLES 19

4

I. SUMMARY * As of Quarter 2, 2015 Vietnam has reached to 70.8 million persons aged 15 and above, of which 53.7 million people joined into the labour force. Even the fact that the urbanization process has been going on, the rural labour force is continuously considered as dominant, currently accounting for 69.7% of total labour force. * The labour force participation rate stood at 76.2%. The considerable difference on labour force participation between rural and urban areas has remained, standing at 10.7 percentage points (69.1% against with 79.8%). Besides, the sex gap on labour force participation has also been found. This participation rate of females was 71.2%, with 10.5 percentage points lower than that of males (81.7%). * As of Quarter 2, 2015 the labour force of whole country was constituted by
52.5 million employed labourers and more than 1.17 million unemployed labourers. * The employment to population ratio of those people aged 15 and above was 74.5%. There was a considerable gap on this ratio between urban and rural. The employment to population ratio in urban areas reached to 66.8%, with
11.6 percentage points lower than that of rural areas. * Based on number of working hours, at the whole country, there were
897.8 thousand underemployed labourers. The underemployed population was decreased about 319.5 thousand labourers, as compared to that of Quarter 1 in 2015. 85.1% of total underemployed population was currently residing in rural areas. * In Quarter 2, 2015, the general unemployment rate has decreased slightly (standing at 2.19%). The unemployed population was supplemented to
301.1 thousand labourers, as compared to that of the same period of 2014, currently reaching to 1177.2 thousand labourers. * The young unemployment rate (for those people aged from 15 to 24) was 6.68%. Number of unemployed youth accounted for 50.3% of total unemployed population. Of which, the urban share was found lower than that of rural areas (45.1% verse 54.9%). Meanwhile, the underemployed youth just accounted for more than one fourth of total underemployed population.

5

Some key indicators of the labor market Indicator | Quarter 3,2014 | Quarter 4,2014 | Quarter 1,2015 | Quarter 2,2015 | 1. Population aged 15+ (‘000 persons) | 69 691,5 | 70 057,9 | 69 750,2 | 70 859,5 | Male | 33 974,4 | 34 022,3 | 33 928,5 | 34 145,4 | Female | 35 717,1 | 36 035,6 | 35 821,7 | 36 714,1 | Urban | 23 149,6 | 23 250,2 | 23 957,0 | 23 592,4 | Rural | 46 541,9 | 46 807,6 | 45 793,2 | 47 267,1 | 2. Labour force (‘000 persons) | 54 307,2 | 54 426,5 | 53 643,9 | 53 707,4 | Male | 28 042,5 | 27 968,9 | 27 819,3 | 27 658 | Female | 26 264,7 | 26 457,5 | 25 824,6 | 26 049,4 | Urban | 16 296,3 | 16 357,2 | 16 941,2 | 16 262,5 | Rural | 38 010,9 | 38 069,3 | 36 702,7 | 37 444,9 | 3. Labour force participation rate (%) | 77,9 | 78,0 | 77,3 | 76.2 | Male | 82,5 | 82,6 | 82,6 | 81,7 | Female | 73,5 | 73,6 | 72,4 | 71,2 | Urban | 70,4 | 70,5 | 70,9 | 69,1 | Rural | 81,7 | 81,7 | 80,7 | 79,8 | 4. Employed population (‘000 persons) | 53258,4 | 53440 ,2 | 52 427,0 | 52 530,2 | Male | 27 464,0 | 27461 ,8 | 27 174,2 | 27 012,4 | Female | 25 794,4 | 25978 ,4 | 25 252,9 | 25 517,8 | Urban | 15805,9 | 15877 ,6 | 16 387,9 | 15 725,1 | Rural | 37452,5 | 37562 ,5 | 36 039,2 | 36 805,1 | 5. Employment to population ratio (%) | 76,4 | 76,5 | 75,6 | 74,5 | Male | 80,8 | 81,1 | 80,7 | 79,8 | Female | 72,2 | 72,2 | 70,8 | 69,7 | Urban | 68,3 | 68,4 | 68,6 | 66,8 | Rural | 80,5 | 80,6 | 79,2 | 78,4 | 6. Average monthly earnings of wage | 4439 | 4397 | 4895 | 4458 | workers (thousand VND) | | | | | Male | 4631 | 4576 | 5034 | 4692 | Female | 4164 | 4144 | 4706 | 4136 | Urban | 5179 | 5139 | 5723 | 5254 | Rural | 3835 | 3807 | 4190 | 3837 | 7. Time related underemployed | 1161,9 | 1185,4 | 1 217,3 | 897,8 | population (‘000 persons) | | | | | Male | 631,6 | 625,7 | 658,4 | 466,4 | Female | 530,3 | 559,6 | 558,9 | 431,4 | Urban | 167,2 | 185,6 | 185,8 | 133,2 | Rural | 994,7 | 999,8 | 1 031,5 | 764,6 |

6

Indicator | Quarter 3,2014 | Quarter 4,2014 | Quarter 1,2015 | Quarter 2,2015 | 8. Time related underemployment rate (%)Male FemaleUrban Rural 9. Time related underemployment rate for working age population (%)Male FemaleUrban Rural 10. Unemployed population (‘000 persons)Male Female Urban Rural 11. Unemployment rate (%)Male Female Urban Rural 12. Working age underemployment rate (%)Male Female Urban Rural 13. Unemployed youth (‘000 persons)Male Female Urban Rural 14. Youth’s unemployment rate (%)Male Female Urban Rural | 2,182,32,061,062,662,302,42,181,122,831048,8578,5470,3490,4558,41,932,061,793,011,472,172,222,113,271,67543,8275,7268,1216,6327,27,026,487,6811,275,62 | 2,222,282,151,172,662,322,352,291,202,82986,3507,1479,2479,6506,81,811,811,812,931,332,051,962,153,211,52448,4195,8252,6195,2253,26,174,977,5910,434,69 | 2,332,432,221,142,872,432,522,341,153,051 216,9645,1571,8553,3663,62,272,322,213,271,812,432,422,453,431,95586,2300,5285,7263,4322,86,606,257,0310,954,99 | 1,711,731,690,852,101,81,811,790,902,231 177,2645,6531,6537,4639,82,192,332,043,301,712.422,482,343,531,91592,6314,8277,8267,3325,36,686,546,8411,844,91 |

Note: These above indicators were calculated for those persons aged 15+, except for the working age unemployment and underemployment rates that were calculated for men aged from 15 to 59 and for women aged from 15 to 54 and also except for youth’s indicators that were calculated for those persons aged from 15 to 24.
7

II. MAJOR FINDINGS 1. Labour force
1.1 Size and distribution of labour force and labour force participation rate

As of Quarter 2, 2015, the labour force aged 15 and above in Vietnam reached to 53.7 million people. Despite of the increase on share for urban labour force, approximately 69.7% of the labour force in Vietnam has been residing in rural areas. Three regions occupying the highest relevant proportions namely in descending order as Red River Delta, North and South Central Coast and Mekong River Delta accounted for 62.9% of total labour force. As of Quarter 2, 2015, females constituted about 48.5% (equivalent to
26.05 million persons) to total labour force.

Table 1: Percentage distribution of labour force and labour force participation rate classified by urban/rural, social-economic regions in quarter 2, 2015

Unit: % Unit | Proportion of Labor force | Labor force participation rate | | Total | Male | Female | %Female | Total | Male | Female | Whole country | 100,0 | 100,0 | 100,0 | 48,5 | 76.2 | 81,7 | 71,2 | Urban | 30,3 | 30,3 | 30,2 | 48,4 | 69,1 | 75,6 | 63,3 | Rural | 69,7 | 69,6 | 69,8 | 48,6 | 79,8 | 84,6 | 75,2 | Social-economic region | | | | | | | | Northern Midlands and Mountains | 13,9 | 13,4 | 14,5 | 50,4 | 84,2 | 86,2 | 82,3 | Red River Delta | 21,6 | 20,5 | 22,9 | 51,2 | 73,4 | 76,1 | 71 | Of which: Hanoi city | 7,0 | 6,7 | 7,3 | 50,5 | 69,4 | 72,4 | 66,8 | North and South Central Coast | 22,1 | 21,6 | 22,5 | 49,5 | 77,5 | 81,9 | 73,4 | Central Highlands | 6,5 | 6,5 | 6,6 | 49,0 | 83,7 | 87,6 | 80 | Southeast | 16,6 | 17,5 | 15,7 | 45,9 | 72,1 | 80,5 | 64,2 | Of which: Hochiminh city | 8,0 | 8,3 | 7,6 | 46,2 | 67,9 | 76,8 | 59,9 | Mekong River Delta | 19,2 | 20,5 | 17,8 | 45,0 | 74,3 | 83,9 | 65,2 |

At the national level, the labour force participation rate was 76.2%. The considerable difference on labour force participation between rural and
8

urban has remained about 10.7 percentage points (69.1% against with 79.8%). The labour force participation rate for females stood at 71.2%, with
10.5 percentage points lower than that for males (81.7%). Notably, the highest labour force participation rates were for two mountainous regions, including Northern Midlands and Mountains (84.2%) and Central Highlands (83.7%). Meanwhile, the lowest ones belonged to two most developed social-economic centres of Vietnam, namely Hanoi and Hochiminh city.
1.2 Age structure of labour force

The distribution of the labour force by age group reveals not only the context of demographic fact but also of social-economic situation. The labour force of Vietnam is considered as relatively young, with the considerable share of the 15-39 year old group (currently accounting for 52.2% of total labour force).

Figure 1: Percentage distribution of labour force classified by age group and urban/rural in quarter 2, 2015

Percentage
16

14

12

10
8
6
4

2

0
15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65 +

Age group

There was considerable difference in age structure of the labour force between urban and rural areas (as shown in Figure 1). The shares of youth (aged 15-24) and elderly (aged 55 and above) living in urban areas were found lower than those of rural areas. In contrast, the proportion of prime working age group (aged 25-54) in urban areas was higher than that of rural areas. This pattern could reflect the fact that the urban youth has joined into the labour market more lately than the rural youth, due to their longer period of
9

schooling. Meanwhile, the rural residents has joined earlier but stayed longer in the labour market, as a result of characteristics on rural jobs. 2. Employment

Table 2 shows the employment proportion and the employment-to- population ratio for those people aged 15+, classified by sex and 8 sampling domains (including 6 social-economic regions and 2 biggest cities) in the second quarter of 2015. Out of 52.5 million employed labourers, 70.1% (equivalent to 36.8 million persons) was residing in rural areas and 48.2% (equivalent to 25.3 million persons) was employed females. Making a comparison among social economic regions, the North and South Central Coast has currently occupied the largest relevant proportion, about 22% of total employed population, followed by the Red River Delta, and Mekong River Delta (21.7% and 19.1% respectively).
Table 2: Employment proportion and employment to population ratio for those people aged 15+, classified by urban/rural and social economic regions in quarter 2, 2015
Unit: %

Basic characteristic | Proportion of employed pop. | | Employment toRatio | pop. | | Total | Male | Female | %Female | Total | Mal e | Female | Entire country | 100,0 | 100,0 | 100,0 | 48,6 | 74,5 | 79,8 | 69,7 | Urban | 29,9 | 30 | 29,9 | 48,5 | 66,8 | 72,9 | 61,3 | Rural | 70,1 | 70 | 70,1 | 48,6 | 78,4 | 83,1 | 74,0 | Social-economic region | | | | | | | | Northern Midlands and Mountains | 14,1 | 13,5 | 14,7 | 50,6 | 83,4 | 85,1 | 81,7 | Red River Delta | 21,7 | 20,5 | 23 | 51,5 | 71,9 | 74,2 | 70,0 | Of which: Hanoi city | 7,0 | 6,7 | 7,3 | 50,7 | 68,2 | 70,8 | 65,9 | North and South Central Coast | 22,0 | 21,5 | 22,5 | 49,8 | 75,6 | 79,6 | 71,9 | Central Highlands | 6,6 | 6,6 | 6,6 | 49,0 | 82,8 | 86,7 | 79,1 | Southeast | 16,5 | 17,4 | 15,5 | 45,7 | 69,9 | 78,2 | 62,1 | Of which: Hochiminh city | 7,9 | 8,3 | 7,5 | 46,1 | 65,9 | 74,6 | 58,0 | Mekong River Delta | 19,1 | 20,5 | 17,6 | 44,8 | 72,3 | 82 | 63,2 |

In details, as of Quarter 2, 2015, the employed population was estimated about 52.5 million people, more than 103 thousand people (equivalent to minus 0,2%) as compared to that of Quarter 1, 2015. Among 6 social economic regions, 3 regions had number of employed persons decreased, (ranging from 1% to 7.2%) lower than that of Quarter 1, 2015. The highest
10

employment decline was for the Mekong River Delta (-7.2%), followed by the Southeast (-3.6%). Among 3 regions had number of employed persons increased, the highest employment 14
The employed-to-population ratio for those who are 15 years old and above was at 74.5% in quarter 2, 2015. Urban-rural and sex gaps on this ratio were nearly 11.6 and 10.1 percentage points, respectively. Comparing among social economic regions indicated that the highest employment-to- population ratios belonged to two mountainous regions, namely the Northern Midlands and Mountains (83.4%) and the Central Highlands (82.8%), while two most developed social- economic centres, including Hanoi city and Hochiminh city occupied the lowest ones.
Table 3: Percentage distribution of employed population classified by industrial sector and economic sector in quarter 2, 2015
Unit: % Basic characteristic | Industrial sector | | Economic | sector | | Agriculture, forestry and fishery | Industry and construction | Services | State | Non- state | Foreign investment | Entire country | 44,7 | 22,1 | 33,2 | 9,5 | 86,6 | 3,9 | Urban | 12,8 | 27 | 60,2 | 18,1 | 75,8 | 6,1 | Rural | 58,3 | 20 | 21,7 | 5,9 | 91,1 | 3,0 | Sex | | | | | | | Male | 43,0 | 25,6 | 31,4 | 9,5 | 87,9 | 2,6 | Female | 46,5 | 18,5 | 35 | 9,5 | 85,2 | 5,3 | Social-economic region | | | | | | | Northern Midlands and Mountains | 67,1 | 13,2 | 19,6 | 9,3 | 88,5 | 2,2 | Red River Delta | 33,4 | 28,5 | 38,1 | 12,6 | 83,5 | 3,9 | Of which: Hanoi city | 21,2 | 26,5 | 52,3 | 18,6 | 78,1 | 3,3 | North and South Central Coast | 51,5 | 17,8 | 30,7 | 9,3 | 89,6 | 1,1 | Central Highland | 72,7 | 6,5 | 20,8 | 7,7 | 92 | 0,3 | Southeast | 14,4 | 38,1 | 47,5 | 9,9 | 77 | 13,1 | Of which: Hochiminh city | 2,8 | 34,8 | 62,4 | 11,7 | 81,9 | 6,4 | Mekong River Delta | 49,6 | 18,1 | 32,3 | 6,8 | 91,3 | 1,9 |

Figure 2 presents the proportion of employed population classified by industrial sector for each sampling domain. The data shows that the Southeast region, especially including Hochiminh city has the most advanced economic structure, with an increasing dominant proportion of industrial, constructional or service workers (about 85.6% and 97.2% respectively). Contrarily, for the mountainous and coastal areas, the

11

proportion of employed labourers engaging into agriculture, forestry and fishery, has remained quite high. The Central Highlands has been regarded as the region occupying this largest proportion (about 72.7%), followed by the Northern Midlands and Mountains and the North and South Central Coast (67.1% and 51.5%, respectively).

Figure 2: Percentage distribution of employed population classified by industrial sector in quarter 2, 2015
Unit: %
Whole country
Northern Midlands and Mountains
Red River Delta
Hanoi City
North and South Central Coast
Central Highland
Southest
Ho Chi minh City
Mekong River Delta

3. Underemployment and unemployment

3.1 Underemployed and unemployed labourers
As of Quarter 2, 2015, the labour force aged 15 and above was constituted by more than 890 thousand underemployed labourers and 1.17 million unemployed labourers. As compared to Quarter 1, 2015, the underemployed population decreased ( about 319.5 thousand persons) and particularly, about 39.7 thousand unemployed persons were declined. The underemployment has been considered as more popular in rural areas. At present, about 85.1% of total underemployed population was residing in rural areas. Besides, the share of underemployed males was found higher than that of females (52% as compared to 48% of total underemployed population). On the other hand, the unemployment in urban areas should be concerned more even that the proportion of urban unemployed population was found lower, just accounting for 45.7% of total unemployed population (see part 3.2 – unemployment and underemployment rates for more reference). Moreover, the data of Quarter 2, 2015 also shows that unemployed males were more crowded than females (accounting for 54.8% verse 45.2% of total unemployed
12

population).
Observing the unemployment by the technical/qualification attainment reveals that in Quarter 2 2015, nearly 40% of unemployed population have undergone technical/qualification training from 3 months or more. Among this group, those unemployed laborers, who have graduated from universities or above, occupied the largest share (about 43%).
Figure 3: Percentage distribution of unemployed population aged 15+ and unemployed youth who have undergone technical/qualification training from 3 months or more, classified by levels of training in quarter 2, 2015

Youth is considered as one labour group most vulnerable to the fluctuations in labour market. Thus, youth’s unemployment has become important issue that should be paid attention in the society. In quarter 2, 2015 the unemployed youth aged from 15-24 accounted for 50.3% of total unemployed population throughout the country. Remarkably, the share of unemployed youth residing in urban areas was found lower than that of rural areas (accounting for 45.1% against with 54.9% of total unemployed population), as a result of more educational opportunities given by urban areas. In term of technical/qualification attainment, about 57.9% of total unemployed laborers who have undergone technical/qualification training from 3 months or more (equivalent to 270.8 thousand persons) were young ones. Of which, a dominant share (accounting for 71.2%) was formed by the young laborers who have graduated from college or above.
In addition, about 27.1% (equivalent to 243.6 thousand persons) of total 898 thousand under-employed workers throughout the country were young

13

persons aged 15 - 24.
Table 4: Number of underemployed and unemployed persons aged 15+, classified by quarter, 2014 and 2015
Unit: Thousand persons Basic characteristic | Underemployed persons | Unemployed persons | | | Quarter 3/2014 | Quarter 4/2014 | Quarter 1/2015 | Quarter 2/2015 | Quarter 3/2014 | Quarter 4 /2014 | Quarter 1/2015 | Quarter 2/2015 | Whole country | 1 161,9 | 1 185,4 | 1 217,3 | 897,8 | 1 048,8 | 986,3 | 1 216,9 | 1177,2 | Urban | 167,2 | 185,6 | 185,8 | 133,2 | 490,4 | 479,6 | 553,3 | 537,4 | Rural | 994,7 | 999,8 | 1 031,5 | 764,6 | 558,4 | 506,8 | 663,6 | 639,8 | Sex | | | | | | | | | Male | 631,6 | 625,7 | 658,4 | 466,4 | 578,5 | 507,1 | 645,1 | 645,6 | Female | 530,3 | 559,6 | 558,9 | 431,4 | 470,3 | 479,2 | 571,8 | 531,6 | Social-economic region | | | | | | | | | Northern Midlands and | | | | | | | | | Mountains | 81,2 | 108,5 | 135,0 | 93,8 | 57,2 | 48,8 | 78,1 | 75 | Red River Delta | 245,7 | 261,1 | 230,7 | 171, | 318,4 | 301,6 | 280 | 233,4 | North and South Central Coast | 249,6 | 318,7 | 367,8 | 249,8 | 243,4 | 220,4 | 304,6 | 292,1 | Central Highland | 118,3 | 47,3 | 55,7 | 69,7 | 39,7 | 39,3 | 38,1 | 36,8 | Southeast | 59,3 | 50,8 | 65,5 | 40,9 | 200,3 | 179,3 | 260,5 | 272,8 | Mekong River Delta | 407,8 | 399,0 | 362,6 | 271,7 | 189,7 | 196,8 | 255,5 | 267,1 |

Table 5: Percentage distribution of underemployed and unemployed population aged 15 +, classified by age group in quarter 2, 2015
Unit: %

Age group | Proportion of underemployed pers. | Proportion of unemployed pers. | | Total | Male | Female | %Female | Total | Male | Female | %Female | Total | 100,0 | 100,0 | 100,0 | 48 | 100,0 | 100,0 | 100,0 | 45,2 | 15-24 | 27,1 | 31,7 | 22,3 | 39,4 | 50,3 | 48,8 | 52,3 | 46,9 | 25-54 | 63,4 | 60,3 | 66,7 | 50,1 | 45,6 | 46,6 | 44,3 | 43,9 | 55-59 | 4,9 | 4,2 | 5,6 | 55 | 2,1 | 2,4 | 1,7 | 36,4 | 60 and over | 4,6 | 3,8 | 5,4 | 56,9 | 2 | 2,2 | 1,7 | 39,8 | Urban | 100,0 | 100,0 | 100,0 | 46,1 | 100,0 | 100,0 | 100,0 | 45 | 15-24 | 27,5 | 28,2 | 26,7 | 44,7 | 49,7 | 46,5 | 53,7 | 48,6 | 25-54 | 61,4 | 60,6 | 62,2 | 46,8 | 46,5 | 48,6 | 43,8 | 42,4 | 55-59 | 6,8 | 8,3 | 5 | 34,3 | 2,4 | 2,9 | 1,8 | 33,3 | 60 and over | 4,3 | 2,9 | 6,1 | 64,6 | 1,4 | 2 | 0,7 | 22,5 | Rural | 100,0 | 100,0 | 100,0 | 48,4 | 100,0 | 100,0 | 100,0 | 45,3 | 15-24 | 27,1 | 32,3 | 21,5 | 38,5 | 50,8 | 50,7 | 51 | 45,5 | 25-54 | 63,7 | 60,2 | 67,4 | 51,2 | 44,8 | 44,9 | 44,7 | 45,2 | 55-59 | 4,5 | 3,5 | 5,7 | 60,4 | 1.8 | 1,8 | 1,5 | 39,8 | 60 and over | 4,6 | 4 | 5,4 | 55,6 | 2,6 | 2,6 | 2,7 | 47,7 |

3.2 Underemployment rate and unemployment rate
The working age underemployment and unemployment rates are referred to those females who are from 15 to 54 years old and those males who are from 15 to 59 years old.
14

As of quarter 2, 2015, the working age unemployment rate for the whole country reached to 2.42%. Of which, the urban unemployment rate (standing at 3.53%) was found higher than that of rural areas (1.91%). Sex gap on unemployment rate was not considerable, just 0.14% percentage points. However, among sampling domains, the unemployment rate was quite different. The region occupying the lowest rate was the Northern Midlands and Mountains (1.1%), followed by the Central Highland (1.13%). The Southeast and North and South Central Coast are two regions had the highest unemployment rate, respectively, 3.2% and 2.85%.
Table 6: Working age underemployment and unemployment rates classified by quarter, 2014 and 2015
Unit: % Basic characteristic | Underemployment rate | Unemployment rate | | Quarter 3/2014 | Quarter 4/2014 | Quarter 1/2015 | Quarter 2/2015 | Quarter 3/2014 | Quarter 4/2014 | Quarter 1/2015 | Quarter 2/2015 | Whole country | 2,30 | 2,32 | 2,43 | 1,8 | 2,17 | 2,05 | 2,43 | 2,42 | Urbal | 1,12 | 1,20 | 1,15 | 0,9 | 3,27 | 3,21 | 3,43 | 3,53 | Rural | 2,83 | 2,82 | 3,04 | 2,23 | 1,67 | 1,52 | 1,95 | 1,91 | Sex | | | | | | | | | Male | 2,40 | 2,35 | 2,51 | 1,81 | 2,22 | 1,96 | 2,42 | 2,48 | Female | 2,18 | 2,29 | 2,33 | 1,79 | 2,11 | 2,15 | 2,45 | 2,34 | Social-economic region | | | | | | | | | Northern Midlands and | | | | | | | | | Mountains | 1,19 | 1,60 | 1,98 | 1,35 | 0,83 | 0,74 | 1,15 | 1,1 | Red River Delta | 2.24 | 2,25 | 2.07 | 1,57 | 3.02 | 2.90 | 2.59 | 2,33 | North and South Central | 2,24 | 2,88 | 3,55 | 2,35 | 2,38 | 2,14 | 2,89 | 2,85 | Central Highland | 3,72 | 1,50 | 1,67 | 2,14 | 1,23 | 1,25 | 1,18 | 1,13 | Southeast | 0.71 | 0,62 | 0.74 | 0,49 | 2.42 | 2.16 | 2.86 | 3,2 | Mekong River Delta | 4,26 | 4,12 | 3,78 | 2,86 | 2,04 | 2,08 | 2,69 | 2,75 |

The working age under-employment rate for the whole country decreased in Quarter 2, 2015 in a comparison with that of Quarter 1, 2015 (1.8% against with 2.43%, respectively). The under-employment rate in rural areas stood at 2.23%, equal to nearly 2.5 times higher than that of urban areas (0.9%). Among regions, the Mekong River Delta has remained occupying the highest rate (about 2.86%), (equivalent to 1.6 times higher than that of whole country –standing at 1.8%).
At present, even that Vietnam’s economy has met difficulties, the unemployment rate in Vietnam has not changed much. Particularly, the working age unemployment rate in urban areas has increased slightly from

15

3.26% in Quarter 2, 2014 to 3.53% in Quarter 2, 2015. This could be explained in part by the fact that Vietnam is an agricultural country, characterized with the less developed economy, resulting to the people’s low living standards and the insufficiently developed social security system. Therefore, people prefer involving into any kind of jobs, even into the informal ones giving unstable, low earnings and indecent working conditions, in order to support themselves and their families, rather than being into long-term unemployment to look for better jobs.
Table 7: Working age underemployment and unemployment rates, 2009-2015
Unit: % Survey period | Underemployment rate | Unemployment rate | | Total | Urban | Rural | Total | Urban | Rural | 2009 | 5,41 | 3,19 | 6,30 | 2,90 | 4,60 | 2,25 | 2010 | 3,57 | 1,82 | 4,26 | 2,88 | 4,29 | 2,30 | 2011 | 2,96 | 1,58 | 3,56 | 2,22 | 3,60 | 1,60 | 2012 | 2,74 | 1,56 | 3,27 | 1,96 | 3,21 | 1,39 | 2013 | 2,75 | 1,48 | 3,31 | 2,18 | 3,59 | 1,54 | 2014 | 2,40 | 1,20 | 2,96 | 2,10 | 3,40 | 1,49 | Quarter 1 in 2014 | 2,78 | 1,45 | 3,37 | 2,21 | 3,72 | 1,53 | Quarter 2 in 2014 | 2,25 | 1,05 | 2,77 | 1,84 | 3,26 | 1,20 | Quarter 3 in 2014 | 2,30 | 1,12 | 2,83 | 2,17 | 3,27 | 1,67 | Quarter 4 in 2014 | 2,32 | 1,20 | 2,82 | 2,05 | 3,21 | 1,52 | Năm 2015 | | | | | | | Quarter 1 in 2015 | 2,43 | 1,15 | 3,04 | 2,43 | 3,43 | 1,95 | Quarter 2 in 2015 | 1,8 | 0,9 | 2,23 | 2,42 | 3,53 | 1,91 |

The young unemployment rate calculated for those persons aged 15-
24. In urban areas, the youth’s unemployment rate was found 6.2 times higher than that of those people aged 25 and above (11.84% verse 1.92%). In quarter 2 2015, the young unemployment rate has almost unchanged, just 0.08 percentage points higher than that of the same period last year.

16

Table 8: Youth’s unemployment rate and Unemployment rate of those who are 25 years old and above classified by quarter in 2014 and 2015
Unit: % Basic characteristics | Youth’s unemployment rate (15 -24) | Unemployment rate of thosepersons aged 25+ | | Quarter 3/2014 | Quarter 4/2014 | Quarter 1/2015 | Quarter 2/2015 | Quarter 3/2014 | Quarter 4/2014 | Quarter 1/2015 | Quarter 2/2015 | Whole country | 7,02 | 6,17 | 6,60 | 6.68 | 1,08 | 1,14 | 1,41 | 1,3 | Urban | 11,27 | 10,43 | 10,95 | 11.84 | 1,90 | 1,96 | 1,99 | 1,92 | Rural | 5,62 | 4,69 | 4,99 | 4.91 | 0,72 | 0,78 | 1,13 | 1,02 | Sex | | | | | | | | | Male | 6,48 | 4,97 | 6,25 | 6.54 | 1,27 | 1,30 | 1,50 | 1,45 | Female | 7,68 | 7,59 | 7,03 | 6.84 | 0,89 | 0,98 | 1,31 | 1,15 | Social-economic region | | | | | | | | | Northern Midlands and | | | | | | | | | Mountains | 2,23 | 1,85 | 2,60 | 2,89 | 0,43 | 0,41 | 0,70 | 0,52 | Red River Delta | 11,53 | 10,67 | 8,22 | 8,62 | 1,49 | 1,51 | 1,48 | 1,02 | North and South Central | | | | | | | | | Coast | 7,87 | 7,03 | 7,97 | 7,77 | 1,03 | 1,02 | 1,45 | 1,29 | Central Highland | 4,28 | 2,74 | 3,07 | 2,23 | 0,45 | 0,79 | 0,62 | 0,7 | Southeast | 7,68 | 6,18 | 7,89 | 8,92 | 1,35 | 1,36 | 1,77 | 1,91 | Mekong River Delta | 6,94 | 6,39 | 7,20 | 7,1 | 1,08 | 1,25 | 1,67 | 1,83 |

In Quarter 2, 2015, the unemployment rate of young group who have completed technical/qualification training from 3 months or more, stood at 15.36%, of which the unemployment for young females was considerably higher than that for young males (16.99% verse 13.47%). This was similar when comparing the unemployment between urban and rural (18.91% against with 12.6%). Notably, the youth’s unemployment is likely increased along with their level of technical/qualification attainment, that is, more concerns on unemployment should be paid for those young people who have attained high technical/qualification level. For example, the unemployment rates of those young people who have graduated from college or university and above were found about 14.48% and 21.8%, respectively. Whereas this rate was much lower for those groups who have just completed “short-term vocational education” or “mid-term vocational/professional education (standing at 7.5% and 13.13%). The reason could be that those young people having high educational attainment (such as college, university or above) are often from 20 to 24 years old, have just graduated and lack of experiences. Therefore, they will meet difficult to find suitable jobs.

17

Table 9: Unemployment rate of the youth who have undergone technical/qualification training from 3 months and more, classified by level of training, Quarter 2, 2015
Unit: % Technical/qualification level | Whole country | Male | Female | Urban | Rural | Total | 15,36 | 13,47 | 16,99 | 18,91 | 12,6 | Short-term vocational training | 7,50 | 6,44 | 11,96 | 14,14 | 4,50 | Mid-term vocational/professional training | 13,13 | 10,98 | 14,97 | 15,66 | 11,8 | College | 14,48 | 14,50 | 14,47 | 18,20 | 11,54 | University and above | 21,80 | 21,78 | 21,81 | 22,40 | 20,92 |

18

III. TABULATED TABLES

19

20

Table 1

POPULATION AGED 15 AND ABOVE BY SEX, URBAN/RURAL AND AGE GROUP

Unit: Thousand persons Age group | Quarter 3, 2014 | Quarter 4, 201 | 4 | Quarter 1, 201 | 5 | Quarter 2, 2015 | | | Total | Male | Female | Total | Male | Female | Total | Male | Female | Total | Male | Female | ENTIRE COUNTRY | 69 691,5 | 33 974,4 | 35 717,1 | 70 057,9 | 34 022,3 | 36 035,6 | 69 750,2 | 33 928,5 | 35 821,7 | 70 859,5 | 34 145,4 | 36 714,1 | 15 - 19 | 6 579,0 | 3 459,9 | 3 119,2 | 6 409,1 | 3 416,4 | 2 992,7 | 7 060,4 | 3 607,5 | 3 452,9 | 7 768,8 | 3 899,7 | 3 869,0 | 20 - 24 | 6 363,7 | 3 343,1 | 3 020,7 | 6 198,1 | 3 160,4 | 3 037,6 | 7 782,9 | 3 969,8 | 3 813,1 | 7 762,2 | 3 978,7 | 3 783,5 | 25 - 29 | 6 758,2 | 3 459,0 | 3 299,2 | 6 667,5 | 3 425,4 | 3 242,0 | 6 977,4 | 3 525,0 | 3 452,4 | 6 711,3 | 3 367,9 | 3 343,4 | 30 - 34 | 7 007,3 | 3 422,1 | 3 585,3 | 7 059,1 | 3 435,9 | 3 623,2 | 7 302,0 | 3 557,6 | 3 744,5 | 7 221,9 | 3 534,6 | 3 687,4 | 35 - 39 | 6 878,7 | 3 386,8 | 3 491,9 | 6 888,2 | 3 364,9 | 3 523,3 | 6 859,4 | 3 465,7 | 3 393,8 | 6 781,4 | 3 345,5 | 3 435,8 | 40 - 44 | 7 023,5 | 3 499,7 | 3 523,7 | 7 018,8 | 3 455,4 | 3 563,5 | 6 663,8 | 3 337,5 | 3 326,4 | 6 686,9 | 3 301,0 | 3 385,9 | 45 - 49 | 6 464,1 | 3 187,2 | 3 276,9 | 6 741,7 | 3 338,0 | 3 403,7 | 6 246,6 | 3 088,2 | 3 158,4 | 6 274,2 | 3 084,3 | 3 189,8 | 50 - 54 | 6 468,9 | 3 146,1 | 3 322,7 | 6 488,6 | 3 141,6 | 3 347,0 | 5 966,4 | 2 922,9 | 3 043,6 | 5 986,2 | 2 838,7 | 3 147,5 | 55 - 59 | 5 160,1 | 2 447,1 | 2 713,0 | 5 400,9 | 2 535,4 | 2 865,4 | 4 787,5 | 2 225,6 | 2 561,9 | 4 997,5 | 2 321,3 | 2 676,2 | 60 - 64 | 3 508,0 | 1 616,2 | 1 891,9 | 3 622,5 | 1 691,3 | 1 931,3 | 3 388,6 | 1 569,7 | 1 818,9 | 3 528,9 | 1 614,9 | 1 914,0 | 65 and over | 7 479,9 | 3 007,2 | 4 472,7 | 7 563,3 | 3 057,6 | 4 505,8 | 6 715,1 | 2 659,0 | 4 056,1 | 7 140,2 | 2 858,7 | 4 281,5 | URBAN | 23 149,6 | 11 197,0 | 11 952,6 | 23 250,2 | 11 269,2 | 11 981,0 | 23 957,0 | 11 439,2 | 12 517,8 | 23 592,4 | 11 133,7 | 12 458,8 | 15 - 19 | 1 909,5 | 985,3 | 924,2 | 1 862,9 | 0 966,6 | 0 896,3 | 2 186,2 | 1 083,3 | 1 102,8 | 2 268,8 | 1 116,5 | 1 152,3 | 20 - 24 | 2 106,3 | 1 067,5 | 1 038,8 | 2 096,7 | 1 048,2 | 1 048,5 | 2 699,1 | 1 262,2 | 1 436,9 | 2 621,2 | 1 245,1 | 1 376,1 | 25 - 29 | 2 290,1 | 1 102,6 | 1 187,5 | 2 247,8 | 1 115,6 | 1 132,2 | 2 412,1 | 1 179,6 | 1 232,5 | 2 294,3 | 1 102,3 | 1 192,0 | 30 - 34 | 2 393,5 | 1 194,3 | 1 199,2 | 2 413,4 | 1 169,8 | 1 243,5 | 2 680,1 | 1 288,3 | 1 391,8 | 2 620,9 | 1 260,2 | 1 360,7 | 35 - 39 | 2 273,5 | 1 087,5 | 1 186,0 | 2 304,5 | 1 128,5 | 1 176,0 | 2 409,4 | 1 191,4 | 1 218,1 | 2 318,9 | 1 123,3 | 1 195,7 | 40 - 44 | 2 334,1 | 1 158,1 | 1 176,0 | 2 311,1 | 1 128,7 | 1 182,4 | 2 326,6 | 1 154,8 | 1 171,8 | 2 255,5 | 1 074,2 | 1 181,3 | 45 - 49 | 2 160,1 | 1 065,1 | 1 095,0 | 2 252,8 | 1 109,9 | 1 142,8 | 2 128,0 | 1 029,3 | 1 098,8 | 2 096,6 | 1 030,8 | 1 065,8 | 50 - 54 | 2 212,7 | 1 067,5 | 1 145,2 | 2 154,5 | 1 058,7 | 1 095,7 | 2 069,7 | 1 037,7 | 1 032,0 | 1 913,0 | 907,6 | 1 005,4 | 55 - 59 | 1 877,8 | 0 905,4 | 0 972,4 | 1 933,5 | 0 928,4 | 1 005,1 | 1 724,3 | 804,3 | 920,0 | 1 772,1 | 828,4 | 943,6 | 60 - 64 | 1 171,8 | 0 550,9 | 0 620,8 | 1 219,3 | 0 570,3 | 0 649,0 | 1 158,2 | 535,9 | 622,4 | 1 192,3 | 542,0 | 650,3 | 65 and over | 2 420,2 | 1 012,9 | 1 407,3 | 2 453,9 | 1 044,4 | 1 409,5 | 2 163,3 | 872,4 | 1 290,9 | 2 238,8 | 903,2 | 1 335,6 | RURAL | 46 541,9 | 22 777,4 | 23 764,5 | 46 807,6 | 22 753,1 | 24 054,5 | 45 793,2 | 22 489,3 | 23 303,9 | 47 267,1 | 23 011,7 | 24 255,3 | 15 - 19 | 4 669,5 | 2 474,5 | 2 195,0 | 4 546,2 | 2 449,8 | 2 096,4 | 4 874,3 | 2 524,2 | 2 350,1 | 5 499,9 | 2 783,2 | 2 716,7 | 20 - 24 | 4 257,4 | 2 275,6 | 1 981,9 | 4 101,3 | 2 112,2 | 1 989,2 | 5 083,8 | 2 707,6 | 2 376,2 | 5 141,0 | 2 733,5 | 2 407,4 | 25 - 29 | 4 468,1 | 2 356,4 | 2 111,7 | 4 419,7 | 2 309,8 | 2 109,8 | 4 565,2 | 2 345,4 | 2 219,8 | 4 417,0 | 2 265,6 | 2 151,4 | 30 - 34 | 4 613,8 | 2 227,8 | 2 386,1 | 4 645,7 | 2 266,1 | 2 379,6 | 4 621,9 | 2 269,3 | 2 352,6 | 4 601,1 | 2 274,4 | 2 326,7 | 35 - 39 | 4 605,2 | 2 299,3 | 2 305,9 | 4 583,7 | 2 236,4 | 2 347,3 | 4 450,0 | 2 274,3 | 2 175,7 | 4 462,5 | 2 222,3 | 2 240,2 | 40 - 44 | 4 689,3 | 2 341,6 | 2 347,7 | 4 707,8 | 2 326,7 | 2 381,1 | 4 337,3 | 2 182,7 | 2 154,6 | 4 431,4 | 2 226,8 | 2 204,6 | 45 - 49 | 4 304,0 | 2 122,2 | 2 181,9 | 4 488,9 | 2 228,0 | 2 260,8 | 4 118,6 | 2 058,9 | 2 059,6 | 4 177,6 | 2 053,5 | 2 124,1 | 50 - 54 | 4 256,2 | 2 078,7 | 2 177,5 | 4 334,2 | 2 082,9 | 2 251,3 | 3 896,8 | 1 885,2 | 2 011,6 | 4 073,2 | 1 931,1 | 2 142,2 | 55 - 59 | 3 282,3 | 1 541,7 | 1 740,6 | 3 467,4 | 1 607,1 | 1 860,3 | 3 063,2 | 1 421,3 | 1 641,9 | 3 225,4 | 1 492,9 | 1 732,6 | 60 - 64 | 2 336,3 | 1 065,2 | 1 271,0 | 2 403,3 | 1 121,0 | 1 282,3 | 2 230,3 | 1 033,8 | 1 196,5 | 2 336,6 | 1 072,9 | 1 263,7 | 65 and over | 5 059,8 | 1 994,4 | 3 065,4 | 5 109,5 | 2 013,2 | 3 096,3 | 4 551,8 | 1 786,6 | 2 765,2 | 4 901,4 | 1 955,6 | 2 945,8 |

Note: Population aged 15 and over included those who were not curent residing in Vietnam at the survey period (not regarded as the respondent for individual questionnaire)

Table 2

LABOUR FORCE AGED 15 AND ABOVE BY SEX, URBAN/RURAL AND AGE GROUP

Unit: Thousand persons Age group | Quarter 3, 2014 | Quarter 4, 2014 | Quarter 1, 2015 | Quarter 2, 2015 | | Total | Male | Female | Total | Male | Female | Total | Male | Female | Total | Male | Female | ENTIRE | | | | | | | | | | | | | COUNTRY | 54 307,2 | 28 042,5 | 26 264,7 | 54 426,5 | 27 968,9 | 26 457,5 | 53 643,9 | 27 819,3 | 25 824,6 | 53 707,4 | 27 658,0 | 26 049,4 | 15 - 19 | 2 669,9 | 1 507,1 | 1 162,8 | 2 389,8 | 1 370,4 | 1 019,4 | 2 756,7 | 1 546,6 | 1 210,1 | 2 906,8 | 1 615,1 | 1 291,7 | 20 - 24 | 5 074,1 | 2 746,0 | 2 328,1 | 4 881,6 | 2 573,1 | 2 308,5 | 6 118,2 | 3 265,0 | 2 853,2 | 5 970,2 | 3 201,4 | 2 768,8 | 25 - 29 | 6 305,3 | 3 318,5 | 2 986,8 | 6 220,6 | 3 281,5 | 2 939,1 | 6 334,9 | 3 338,1 | 2 996,8 | 6 079,1 | 3 202,7 | 2 876,3 | 30 - 34 | 6 613,1 | 3 344,3 | 3 268,8 | 6 667,5 | 3 349,8 | 3 317,7 | 6 825,7 | 3 462,5 | 3 363,2 | 6 714,1 | 3 417,4 | 3 296,7 | 35 - 39 | 6 523,4 | 3 299,9 | 3 223,5 | 6 531,3 | 3 294,5 | 3 236,8 | 6 460,9 | 3 361,2 | 3 099,7 | 6 379,4 | 3 244,9 | 3 134,5 | 40 - 44 | 6 652,0 | 3 408,2 | 3 243,9 | 6 639,7 | 3 370,1 | 3 269,6 | 6 265,3 | 3 230,7 | 3 034,7 | 6 265,4 | 3 205,6 | 3 059,8 | 45 - 49 | 6 038,4 | 3 100,6 | 2 937,8 | 6 293,8 | 3 226,9 | 3 067,0 | 5 748,9 | 2 964,4 | 2 784,5 | 5 771,5 | 2 957,2 | 2 814,3 | 50 - 54 | 5 754,3 | 2 925,5 | 2 828,8 | 5 812,9 | 2 942,0 | 2 871,0 | 5 280,8 | 2 702,4 | 2 578,4 | 5 275,7 | 2 632,3 | 2 643,4 | 55 - 59 | 4 101,2 | 2 134,4 | 1 966,9 | 4 349,4 | 2 244,7 | 2 104,7 | 3 671,3 | 1 872,9 | 1 798,4 | 3 868,3 | 1 955,6 | 1 912,7 | 60 - 64 | 2 384,4 | 1 204,0 | 1 180,4 | 2 480,4 | 1 249,1 | 1 231,3 | 2 208,6 | 1 098,4 | 1 110,3 | 2 312,9 | 1 160,2 | 1 152,8 | 65 and over | 2 191,1 | 1 054,1 | 1 137,0 | 2 159,4 | 1 066,9 | 1 092,5 | 1 972,5 | 977,2 | 995,4 | 2 164,0 | 1 065,5 | 1 098,5 | URBAN | 16 296,3 | 8 560,3 | 7 736,0 | 16 357,2 | 8 638,1 | 7 719,1 | 16 941,2 | 8 764,4 | 8 176,7 | 16 262,5 | 8 394,5 | 7 868,0 | 15 - 19 | 441,1 | 238,1 | 203,1 | 422,3 | 231,2 | 191,1 | 508,2 | 278,4 | 229,8 | 483,2 | 278,2 | 205,1 | 20 - 24 | 1 480,4 | 775,9 | 704,6 | 1 449,2 | 753,0 | 696,2 | 1 896,8 | 893,3 | 1 003,5 | 1 774,8 | 871,5 | 903,3 | 25 - 29 | 2 098,9 | 1 043,8 | 1 055,1 | 2 058,1 | 1 062,6 | 995,5 | 2 184,9 | 1 120,1 | 1 064,8 | 2 070,5 | 1 047,7 | 1 022,7 | 30 - 34 | 2 205,3 | 1 168,4 | 1 036,9 | 2 228,0 | 1 135,0 | 1 093,0 | 2 477,8 | 1 256,1 | 1 221,7 | 2 409,4 | 1 224,5 | 1 185,0 | 35 - 39 | 2 096,0 | 1 055,2 | 1 040,7 | 2 113,9 | 1 092,1 | 1 021,8 | 2 227,0 | 1 154,4 | 1 072,6 | 2 142,2 | 1 090,2 | 1 052,0 | 40 - 44 | 2 135,1 | 1 116,0 | 1 019,1 | 2 110,5 | 1 093,1 | 1 017,4 | 2 121,1 | 1 114,4 | 1 006,7 | 2 039,0 | 1 034,9 | 1 004,1 | 45 - 49 | 1 918,4 | 1 021,5 | 896,9 | 1 993,4 | 1 048,6 | 944,8 | 1 871,1 | 975,0 | 896,0 | 1 843,2 | 973,3 | 869,9 | 50 - 54 | 1 790,8 | 947,2 | 843,6 | 1 748,6 | 952,9 | 795,8 | 1 693,1 | 915,1 | 778,0 | 1 524,0 | 797,8 | 726,1 | 55 - 59 | 1 209,8 | 714,6 | 495,2 | 1 283,4 | 753,7 | 529,7 | 1 068,2 | 606,7 | 461,4 | 1 076,7 | 608,6 | 468,1 | 60 - 64 | 526,4 | 285,8 | 240,6 | 538,0 | 299,7 | 238,3 | 515,7 | 264,7 | 251,0 | 517,1 | 274,0 | 243,0 | 65 and over | 394,1 | 193,9 | 200,2 | 411,8 | 216,2 | 195,6 | 377,3 | 186,2 | 191,1 | 382,4 | 193,8 | 188,6 | RURAL | 38 010,9 | 19 482,2 | 18 528,7 | 38 069,3 | 19 330,9 | 18 738,4 | 36 702,7 | 19 054,8 | 17 647,9 | 37 444,9 | 19 263,5 | 18 181,4 | 15 - 19 | 2 228,8 | 1 269,0 | 959,8 | 1 967,5 | 1 139,2 | 828,3 | 2 248,5 | 1 268,2 | 980,3 | 2 423,6 | 1 336,9 | 1 086,6 | 20 - 24 | 3 593,7 | 1 970,1 | 1 623,5 | 3 432,4 | 1 820,1 | 1 612,3 | 4 221,4 | 2 371,7 | 1 849,7 | 4 195,4 | 2 329,9 | 1 865,5 | 25 - 29 | 4 206,4 | 2 274,7 | 1 931,7 | 4 162,5 | 2 218,8 | 1 943,7 | 4 150,0 | 2 218,0 | 1 932,1 | 4 008,6 | 2 155,0 | 1 853,6 | 30 - 34 | 4 407,8 | 2 176,0 | 2 231,9 | 4 439,5 | 2 214,8 | 2 224,7 | 4 347,9 | 2 206,4 | 2 141,5 | 4 304,6 | 2 192,9 | 2 111,7 | 35 - 39 | 4 427,4 | 2 244,7 | 2 182,7 | 4 417,3 | 2 202,4 | 2 215,0 | 4 233,9 | 2 206,8 | 2 027,1 | 4 237,2 | 2 154,7 | 2 082,5 | 40 - 44 | 4 516,9 | 2 292,2 | 2 224,7 | 4 529,2 | 2 277,0 | 2 252,2 | 4 144,2 | 2 116,3 | 2 027,9 | 4 226,3 | 2 170,7 | 2 055,7 | 45 - 49 | 4 120,0 | 2 079,1 | 2 040,9 | 4 300,5 | 2 178,3 | 2 122,2 | 3 877,8 | 1 989,4 | 1 888,5 | 3 928,3 | 1 983,9 | 1 944,4 | 50 - 54 | 3 963,5 | 1 978,3 | 1 985,2 | 4 064,3 | 1 989,1 | 2 075,2 | 3 587,7 | 1 787,3 | 1 800,4 | 3 751,8 | 1 834,5 | 1 917,3 | 55 - 59 | 2 891,4 | 1 419,8 | 1 471,7 | 3 066,0 | 1 491,0 | 1 575,1 | 2 603,2 | 1 266,2 | 1 337,0 | 2 791,6 | 1 347,0 | 1 444,6 | 60 - 64 | 1 858,0 | 918,2 | 939,7 | 1 942,4 | 949,4 | 993,0 | 1 692,9 | 833,7 | 859,3 | 1 795,9 | 886,1 | 909,7 | 65 and over | 1 797,0 | 860,2 | 936,8 | 1 747,6 | 850,7 | 896,9 | 1 595,2 | 791,0 | 804,2 | 1 781,6 | 871,8 | 909,9 |

Note: It is not included those people aged 15 and over, who were not curently residing in Vietnam at the survey period (not regarded as the respondent for individual questionnaire)

Table 3

LABOUR FORCE AGED 15 AND OVER BY SEX, URBAN/RURAL AND SOCIAL-ECONOMIC REGION

Unit: Thousand persons Vùng kinh tế xã hội | Quarter 3, 2014 | Quarter 4, 2014 | | Quarter 1, 2015 | Quarter 2, 2015 | | Total | Male | Female | Total | Male | Female | Total | Male | Female | Total | Male | Female | ENTIRE COUNTRY | 54 307,2 | 28 042,5 | 26 264,7 | 54 426,5 | 27 968,9 | 26 457,5 | 53 643,9 | 27 819,3 | 25 824,6 | 53 707,4 | 27 658,0 | 26 049,4 | R1 Northern Midlands and Mountains | 7 557,9 | 3 781,8 | 3 776,1 | 7 477,2 | 3 732,0 | 3 745,2 | 7 250,2 | 3 654,2 | 3 596,1 | 7 476,7 | 3 704,5 | 3 772,1 | R2 Red River Delta (*) | 8 274,9 | 4 066,6 | 4 208,3 | 8 249,9 | 4 005,3 | 4 244,5 | 8 013,9 | 3 982,0 | 4 031,9 | 7 865,4 | 3 810,7 | 4 054,7 | R3 North and South Central Coast | 11 956,9 | 6 053,7 | 5 903,2 | 11 955,3 | 5 993,7 | 5 961,7 | 11 703,1 | 5 985,0 | 5 718,1 | 11 851,9 | 5 982,8 | 5 869,0 | R4 Central Highland | 3 382,6 | 1 781,5 | 1 601,1 | 3 440,2 | 1 795,8 | 1 644,4 | 3 335,5 | 1 722,1 | 1 613,4 | 3 507,0 | 1 789,1 | 1 717,9 | R5 Southeast (*) | 4 702,5 | 2 460,4 | 2 242,1 | 4 707,0 | 2 436,0 | 2 271,0 | 4 819,0 | 2 582,6 | 2 236,4 | 4 626,9 | 2 518,3 | 2 108,6 | R6 Mekong River Delta | 10 310,4 | 5 636,6 | 4 673,8 | 10 394,8 | 5 616,8 | 4 777,9 | 1 338,9 | 5 674,9 | 4 664,0 | 10 319,7 | 5 678,2 | 4 641,5 | R7 Ha Noi city | 3 868,2 | 1 969,8 | 1 898,4 | 3 944,5 | 2 007,4 | 1 937,0 | 3 768,7 | 1 896,7 | 1 871,9 | 3 760,6 | 1 861,3 | 1 899,4 | R8 Ho Chi Minh city | 4 253,8 | 2 292,0 | 1 961,8 | 4 257,6 | 2 381,7 | 1 875,9 | 4 414,7 | 2 321,8 | 2 092,9 | 4 299,2 | 2 313,1 | 1 986,1 | URBAN | 16 296,3 | 8 560,3 | 7 736,0 | 16 357,2 | 8 638,1 | 7 719,1 | 16 941,2 | 8 764,4 | 8 176,7 | 16 262,5 | 8 394,5 | 7 868,0 | R1 Northern Midlands and Mountains | 1 167,8 | 583,0 | 584,9 | 1 169,7 | 580,0 | 589,7 | 1 134,2 | 563,3 | 570,9 | 1 161,9 | 565,1 | 596,8 | R2 Red River Delta (*) | 1 982,3 | 999,4 | 982,9 | 2 023,7 | 1 032,1 | 991,6 | 1 879,8 | 910,7 | 969,1 | 1 849,6 | 877,6 | 971,9 | R3 North and South Central Coast | 2 897,0 | 1 488,4 | 1 408,7 | 2 892,6 | 1 481,9 | 1 410,7 | 2 945,4 | 1 497,6 | 1 447,9 | 2 904,7 | 1 498,1 | 1 406,6 | R4 Central Highland | 944,7 | 509,0 | 435,8 | 947,8 | 505,9 | 442,0 | 965,0 | 511,2 | 453,8 | 956,0 | 502,1 | 453,9 | R5 Southeast (*) | 1 879,4 | 971,8 | 907,6 | 1 876,3 | 962,0 | 914,3 | 2 193,0 | 1 214,5 | 978,5 | 1 986,1 | 1 090,6 | 895,5 | R6 Mekong River Delta | 2 415,4 | 1 330,5 | 1 084,9 | 2 426,1 | 1 311,1 | 1 115,0 | 2 430,3 | 1 338,1 | 1 092,2 | 2 409,3 | 1 338,3 | 1 071,0 | R7 Ha Noi city | 1 496,7 | 788,0 | 708,6 | 1 504,2 | 794,5 | 709,7 | 1 866,9 | 925,5 | 941,4 | 1 564,1 | 775,0 | 789,2 | R8 Ho Chi Minh city | 3 513,0 | 1 890,2 | 1 622,8 | 3 516,7 | 1 970,5 | 1 546,1 | 3 526,6 | 1 803,6 | 1 723,0 | 3 430,8 | 1 747,7 | 1 683,1 | RURAL | 38 010,9 | 19 482,2 | 18 528,7 | 38 069,3 | 19 330,9 | 18 738,4 | 36 702,7 | 19 054,8 | 17 647,9 | 37 444,9 | 19 263,5 | 18 181,4 | R1 Northern Midlands and Mountains | 6 390,1 | 3 198,9 | 3 191,2 | 6 307,5 | 3 152,1 | 3 155,5 | 6 116,0 | 3 090,9 | 3 025,1 | 6 314,7 | 3 139,4 | 3 175,3 | R2 Red River Delta (*) | 6 292,6 | 3 067,3 | 3 225,4 | 6 226,2 | 2 973,2 | 3 253,0 | 6 134,1 | 3 071,3 | 3 062,8 | 6 015,9 | 2 933,1 | 3 082,8 | R3 North and South Central Coast | 9 059,9 | 4 565,3 | 4 494,6 | 9 062,7 | 4 511,8 | 4 550,9 | 8 757,7 | 4 487,4 | 4 270,2 | 8 947,2 | 4 484,7 | 4 462,5 | R4 Central Highland | 2 437,9 | 1 272,6 | 1 165,3 | 2 492,4 | 1 289,9 | 1 202,4 | 2 370,5 | 1 210,9 | 1 159,6 | 2 551,0 | 1 287,0 | 1 264,0 | R5 Southeast (*) | 2 823,1 | 1 488,6 | 1 334,5 | 2 830,7 | 1 474,0 | 1 356,7 | 2 626,0 | 1 368,0 | 1 257,9 | 2 640,8 | 1 427,7 | 1 213,1 | R6 Mekong River Delta | 7 895,0 | 4 306,1 | 3 588,9 | 7 968,7 | 4 305,7 | 3 662,9 | 7 908,6 | 4 336,8 | 3 571,9 | 7 910,4 | 4 339,9 | 3 570,5 | R7 Ha Noi city | 2 371,5 | 1 181,7 | 1 189,8 | 2 440,2 | 1 212,9 | 1 227,3 | 1 901,8 | 971,2 | 930,5 | 2 196,5 | 1 086,3 | 1 110,2 | R8 Ho Chi Minh city | 740,8 | 401,8 | 339,0 | 740,9 | 411,2 | 329,7 | 888,1 | 518,2 | 369,9 | 868,4 | 565,4 | 303,0 |

Note: (*) Red River Delta excluded Hanoi city and Southeast excluded Ho Chi Minh city
It is not included those people aged 15 and over who were currently not residing in VietNam at the survey period (not regarded as the respondent for individual questionnaire)

Table 4

LABOUR FORCE AGED 15 AND OVER BY SEX, URBAN/RURAL AND PROFESSIONAL/TECHNICAL QUALIFICATION

Unit: Thousand persons Professional/Technical qualification | Quarter 3, 2014 | Quarter 4, 2014 | Quarter 1, 2015 | Quarter 2, 2015 | | Total | Male | Female | Total | Male | Female | Total | Male | Female | Total | Male | Female | ENTIRE COUNTRY | 54 307,2 | 28 042,5 | 26 264,7 | 54 426,5 | 27 968,9 | 26 457,6 | 53 643,9 | 27 819,3 | 25 824,6 | 53 707,4 | 27 658,0 | 26 049,4 | 1 No qualification | 44 188,4 | 22 157,2 | 22 031,2 | 44 249,6 | 22 116,0 | 22 133,6 | 42 028,9 | 21 119,1 | 20 909,8 | 42 917,0 | 21 501,1 | 21 415,9 | 2 Vocational training from 3 | | | | | | | | | | | | | months and longer | 2 673,8 | 2 120,9 | 552,9 | 2 723,4 | 2 157,7 | 565,7 | 3 137,6 | 2 573,6 | 563,9 | 2 706,2 | 2 256,1 | 450,1 | 3 Professional secondary | | | | | | | | | | | | | school | 2 014,2 | 950,1 | 1 064,0 | 2 005,9 | 942,1 | 1 063,9 | 2 136,7 | 1 004,5 | 1 132,2 | 2 158,6 | 1 011,5 | 1 147,1 | 4 Professional college | 1 145,5 | 457,7 | 687,8 | 1 179,8 | 449,8 | 729,9 | 1 454,8 | 582,7 | 872,1 | 1 435,9 | 589,1 | 846,8 | 5 University and above | 4 144,3 | 2 277,5 | 1 866,8 | 4 104,3 | 2 214,4 | 1 889,9 | 4 664,6 | 2 425,6 | 2 239,0 | 4 469,2 | 2 290,3 | 2 179,0 | 6 Not stated | 141,0 | 79,0 | 62,0 | 163,5 | 88,9 | 74,7 | 221,4 | 113,8 | 107,6 | 20,5 | 9,9 | 10,6 | URBAN | 16 296,3 | 8 560,3 | 7 736,0 | 16 357,2 | 8 638,1 | 7 719,1 | 16 941,2 | 8 764,4 | 8 176,7 | 16 262,5 | 8 394,5 | 7 868,0 | 1 No qualification | 10 684,2 | 5 385,1 | 5 299,1 | 10 708,7 | 5 419,0 | 5 289,7 | 10 597,7 | 5 223,5 | 5 374,2 | 10 296,3 | 5 132,6 | 5 163,7 | 2 Vocational training from 3 | | | | | | | | | | | | | months and longer | 1 239,1 | 952,3 | 286,8 | 1 350,2 | 1 030,8 | 319,4 | 1 438,9 | 1 159,5 | 279,5 | 1 234,3 | 1 002,2 | 232,2 | 3 Professional secondary | | | | | | | | | | | | | school | 933,9 | 412,5 | 521,4 | 901,9 | 394,4 | 507,5 | 972,0 | 413,8 | 558,2 | 971,0 | 405,2 | 565,8 | 4 Professional college | 521,8 | 215,2 | 306,7 | 535,6 | 223,7 | 312,0 | 653,5 | 262,9 | 390,6 | 674,9 | 276,2 | 398,6 | 5 University and above | 2 879,5 | 1 576,0 | 1 303,5 | 2 812,5 | 1 545,0 | 1 267,5 | 3 251,1 | 1 693,1 | 1 558,0 | 3 081,7 | 1 575,6 | 1 506,1 | 6 Not stated | 37,8 | 19,3 | 18,5 | 48,3 | 25,2 | 23,0 | 28,0 | 11,8 | 16,2 | 4,4 | 2,7 | 1,6 | RURAL | 38 010,9 | 19 482,2 | 18 528,7 | 38 069,3 | 19 330,9 | 18 738,4 | 36 702,7 | 19 054,8 | 17 647,9 | 37 444,9 | 19 263,5 | 18 181,4 | 1 No qualification | 33 504,2 | 16 772,1 | 16 732,1 | 33 540,9 | 16 697,0 | 16 843,9 | 31 431,1 | 15 895,6 | 15 535,6 | 32 620,7 | 16 368,6 | 16 252,2 | 2 Vocational training from 3 | | | | | | | | | | | | | months and longer | 1 434,7 | 1 168,6 | 266,1 | 1 373,2 | 1 126,9 | 246,3 | 1 698,6 | 1 414,2 | 284,5 | 1 471,8 | 1 253,9 | 217,9 | 3 Professional secondary | | | | | | | | | | | | | school | 1 080,3 | 537,7 | 542,6 | 1 104,0 | 547,7 | 556,3 | 1 164,8 | 590,7 | 574,1 | 1 187,6 | 606,4 | 581,3 | 4 Professional college | 623,7 | 242,6 | 381,1 | 644,1 | 226,2 | 417,9 | 801,3 | 319,8 | 481,5 | 761,1 | 312,8 | 448,2 | 5 University and above | 1 264,8 | 701,5 | 563,3 | 1 291,8 | 669,5 | 622,3 | 1 413,5 | 732,6 | 680,9 | 1 387,5 | 714,6 | 672,9 | 6 Not stated | 103,2 | 59,8 | 43,4 | 115,3 | 63,6 | 51,6 | 193,4 | 102,0 | 91,4 | 16,1 | 7,2 | 8,9 |

Note: It is not included those people aged 15 and over who were currently not residing in VietNam at the survey period (not regarded as the respondent for individual questionnaire)

Table 5

EMPLOYED POPULATION AGED 15 AND OVER BY SEX, URBAN/RURAL AND SOCIAL-ECONOMIC REGION

Social-economic region | Quarter 3, 2014 | Quarter 4, 2014 | Quarter 1, 2015 | Quarter 2, 2015 | | Total | Male | Female | Total | Male | Female | Total | Male | Female | Total | Male | Female | ENTIRE COUNTRY | 53 258,4 | 27 464,0 | 25 794,4 | 53 440,2 | 27 461,8 | 25 978,4 | 52 427,0 | 27 174,2 | 25 252,9 | 52 530,2 | 27 012,4 | 25 517,8 | R1 Northern Midlands and Mountains | 7,500.7 | 3,748.0 | 3,752.7 | 7,428.4 | 3,702.8 | 3,725.6 | 7,172.1 | 3,611.1 | 3,561.0 | 7 401,6 | 3 658,0 | 3 743,7 | R2 Red River Delta | 11,824.6 | 5,840.7 | 5,983.9 | 11,892.7 | 5,839.0 | 6,053.7 | 11,502.5 | 5,713.0 | 5,789.5 | 11 392,7 | 5 528,7 | 5 864,0 | R3 North and South Central Coast | 11,713.5 | 5,921.8 | 5,791.7 | 11,734.9 | 5,888.0 | 5,847.0 | 11,398.5 | 5,819.4 | 5,579.1 | 11 559,8 | 5 808,7 | 5 751,2 | R4 Central Highland | 3,342.9 | 1,761.8 | 1,581.2 | 3,400.8 | 1,778.7 | 1,622.2 | 3,297.4 | 1,706.4 | 1,590.9 | 3 470,3 | 1 771,3 | 1 698,9 | R5 Southeast | 8,755.9 | 4,629.4 | 4,126.6 | 8,785.3 | 4,716.4 | 4,068.8 | 8,973.2 | 4,773.2 | 4,199.9 | 8 653,3 | 4 694,7 | 3 958,6 | R6 Mekong River Delta | 10,120.7 | 5,562.5 | 4,558.3 | 10,198.0 | 5,536.8 | 4,661.2 | 1,083.4 | 5,551.0 | 4,532.4 | 10 052,5 | 5 551,0 | 4 501,5 | URBAN | 15 805,9 | 8 261,0 | 7 544,9 | 15 877,6 | 8 365,1 | 7 512,5 | 16 387,9 | 8 470,7 | 7 917,2 | 15 725,1 | 8 098,8 | 7 626,3 | R1 Northern Midlands and Mountains | 1,141.00 | 567.4 | 573.6 | 1,144.50 | 564.9 | 579.7 | 1,102.30 | 546.3 | 556,0 | 1 129,2 | 547,6 | 581,6 | R2 Red River Delta | 3327.6 | 1685.5 | 1642.1 | 3384.2 | 1 733,0 | 1651.1 | 3 636,0 | 1774.6 | 1861.4 | 3 304,1 | 1 590,4 | 1 713,7 | R3 North and South Central Coast | 2,798.40 | 1,438.00 | 1,360.40 | 2,802.50 | 1,440.20 | 1,362.40 | 2,819.30 | 1,424.50 | 1,394.70 | 2 776,x`4 | 1 424,3 | 1 352,1 | R4 Central Highland | 932.1 | 502.5 | 429.6 | 932.2 | 499.8 | 432.4 | 945.6 | 501.5 | 444.1 | 933,6 | 489,1 | 444,5 | R5 Southeast | 5250.6 | 2767.7 | 2482.9 | 5250.4 | 2846.5 | 2403.9 | 5534.1 | 2925.5 | 2608.6 | 5 246,3 | 2 752,0 | 2 494,4 | R6 Mekong River Delta | 2,356.10 | 1,299.90 | 1,056.20 | 2,363.80 | 1,280.90 | 1,082.90 | 2,350.60 | 1,298.20 | 1,052.30 | 2 335,6 | 1 295,6 | 1 040,0 | RURAL | 37 452,5 | 19 203,0 | 18 249,5 | 37 562,5 | 19 096,7 | 18 465,9 | 36 039,2 | 18 703,5 | 17 335,7 | 36 805,1 | 18 913,6 | 17 891,5 | R1 Northern Midlands and Mountains | 6,359.70 | 3,180.50 | 3,179.10 | 6,283.90 | 3,138.00 | 3,145.90 | 6,069.90 | 3,064.90 | 3,005.00 | 6 272,5 | 3 110,4 | 3 162,1 | R2 Red River Delta | 8 497,0 | 4155.3 | 4341.8 | 8508.6 | 4 106,0 | 4402.5 | 7866.5 | 3938.5 | 3928.1 | 8 088,6 | 3 938,4 | 4 150,2 | R3 North and South Central Coast | 8,915.00 | 4,483.70 | 4,431.30 | 8,932.40 | 4,447.80 | 4,484.60 | 8,579.20 | 4,394.90 | 4,184.30 | 8 783,5 | 4 384,4 | 4 399,1 | R4 Central Highland | 2,410.80 | 1,259.20 | 1,151.60 | 2,468.60 | 1,278.90 | 1,189.80 | 2,351.70 | 1,204.90 | 1,146.80 | 2 536,7 | 1 282,2 | 1 254,4 | R5 Southeast | 3505.3 | 1861.7 | 1643.7 | 3534.9 | 1 870,0 | 1664.9 | 3 439,0 | 1847.7 | 1591.4 | 3 407,0 | 1 942,7 | 1 464,3 | R6 Mekong River Delta | 7,764.60 | 4,262.60 | 3,502.10 | 7,834.20 | 4,255.90 | 3,578.20 | 7,732.80 | 4,252.70 | 3,480.10 | 7 717,0 | 4 255,5 | 3 461,5 |

Unit: Thousand persons

Note: It is not included those people aged 15 and over who were currently not residing in VietNam at the survey period (not regarded as the respondent for individual questionnaire)

Table 6

EMPLOYED POPULATION AGED 15 AND OVER BY SEX, URBAN/RURAL AND PROFESSIONAL/TECHNICAL QUALIFICATION

Unit: Thousand persons

Professional/Technical qualification | Quarter 3, 2014 | | Quarter 4, 201 | 4 | Quarter 1, 2015 | Quarter 2, 201 | 5 | | Total | Male | Female | Total | Male | Female | Total | Male | Female | Total | Male | Female | ENTIRE COUNTRY | 53 258,4 | 27 464,0 | 25 794,4 | 53 440,2 | 27 461,8 | 25 978,4 | 52 427,0 | 27 174,2 | 25 252,9 | 52 530,2 | 27 012,4 | 25 517,8 | 1 No qualification | 43 573,0 | 21 813,0 | 21 760,0 | 43 641,4 | 21 787,6 | 21 853,8 | 41 257,3 | 20 684,6 | 20 572,7 | 42 208,2 | 21 082,3 | 21 125,9 | 2 Vocational training from 3 months and longer | 2 594,0 | 2 051,8 | 542,2 | 2 662,4 | 2 106,8 | 555,6 | 3 054,3 | 2 509,4 | 544,9 | 2 625,5 | 2 195,0 | 430,4 | 3 Professional secondary school | 1 925,7 | 915,7 | 1 010,0 | 1 932,5 | 915,0 | 1 017,5 | 2 059,7 | 976,8 | 1 082,8 | 2 066,0 | 972,6 | 1 093,4 | 4 Professional college | 1 055,4 | 423,9 | 631,5 | 1 105,0 | 427,2 | 677,8 | 1 353,8 | 549,7 | 804,1 | 1 342,4 | 552,3 | 790,1 | 5 University and above | 3 969,8 | 2 180,7 | 1 789,1 | 3 938,7 | 2 139,1 | 1 799,6 | 4 483,2 | 2 342,2 | 2 141,0 | 4 268,1 | 2 200,6 | 2 067,5 | 6 Not stated | 140,5 | 79,0 | 61,5 | 160,1 | 86,1 | 74,0 | 218,8 | 111,4 | 107,4 | 20,1 | 9,6 | 10,4 | URBAN | 15 805,9 | 8 261,0 | 7 544,9 | 15 877,6 | 8 365,1 | 7 512,5 | 16 387,9 | 8 470,7 | 7 917,2 | 15 725,1 | 8 098,8 | 7 626,3 | 1 No qualification | 10 417,0 | 5 216,1 | 5 200,9 | 10 434,0 | 5 252,0 | 5 182,0 | 10 289,1 | 5 045,1 | 5 244,1 | 10 034,0 | 4 969,7 | 5 064,3 | 2 Vocational training from 3 months and longer | 1 195,2 | 915,6 | 279,6 | 1 314,5 | 1 001,7 | 312,8 | 1 398,9 | 1 130,6 | 268,2 | 1 188,0 | 968,3 | 219,7 | 3 Professional secondary school | 895,6 | 395,0 | 500,7 | 866,8 | 377,9 | 488,9 | 930,3 | 396,8 | 533,5 | 923,0 | 384,0 | 539,0 | 4 Professional college | 488,4 | 200,1 | 288,3 | 505,6 | 212,1 | 293,5 | 602,9 | 248,0 | 354,9 | 621,6 | 257,5 | 364,1 | 5 University and above | 2 772,2 | 1 515,1 | 1 257,1 | 2 711,0 | 1 498,3 | 1 212,7 | 3 139,5 | 1 639,1 | 1 500,5 | 2 954,7 | 1 517,0 | 1 437,7 | 6 Not stated | 37,5 | 19,2 | 18,3 | 45,8 | 23,1 | 22,6 | 27,1 | 11,1 | 16,0 | 3,9 | 2,4 | 1,5 | RURAL | 37 452,5 | 19 203,0 | 18 249,5 | 37 562,5 | 19 096,7 | 18 465,9 | 36 039,2 | 18 703,5 | 17 335,7 | 36 805,1 | 18 913,6 | 17 891,5 | 1 No qualification | 33 156,1 | 16 596,9 | 16 559,2 | 33 207,4 | 16 535,6 | 16 671,8 | 30 968,2 | 15 639,6 | 15 328,6 | 32 174,2 | 16 112,6 | 16 061,7 | 2 Vocational training from 3 months and longer | 1 398,8 | 1 136,2 | 262,6 | 1 347,9 | 1 105,0 | 242,8 | 1 655,4 | 1 378,8 | 276,6 | 1 437,5 | 1 226,8 | 210,8 | 3 Professional secondary school | 1 030,0 | 520,7 | 509,3 | 1 065,8 | 537,1 | 528,6 | 1 129,4 | 580,0 | 549,4 | 1 143,0 | 588,6 | 554,4 | 4 Professional college | 567,0 | 223,8 | 343,2 | 599,5 | 215,1 | 384,3 | 750,9 | 301,6 | 449,2 | 720,8 | 294,8 | 426,0 | 5 University and above | 1 197,6 | 665,6 | 532,0 | 1 227,7 | 640,8 | 586,9 | 1 343,7 | 703,2 | 640,5 | 1 313,4 | 683,6 | 629,8 | 6 Not stated | 103,0 | 59,8 | 43,2 | 114,3 | 63,0 | 51,4 | 191,7 | 100,3 | 91,4 | 16,1 | 7,2 | 8,9 |

Note: It is not included those people aged 15 and over who were currently not residing in VietNam at the survey period (not regarded as the respondent for individual questionnaire)

Table 7 EMPLOYED POPULATION AGED 15 AND OVER BY SEX, URBAN/RURAL AND ECONOMIC SECTOR

Unit: Thousand persons Economic sector | Quarter 3, 201 | 4 | Quarter 4, 2014 | Quarter 1, 2015 | Quarter 2, 2015 | | Total | Male | Female | Total | Male | Female | Total | Male | Female | Total | Male | Female | ENTIRE COUNTRY | 53 258,4 | 27 464,0 | 25 794,4 | 53 440,2 | 27 461,8 | 25 978,4 | 52 427,0 | 27 174,2 | 25 252,9 | 52 530,2 | 27 012,4 | 25 517,8 | 1 State | 5 349,4 | 2 938,5 | 2 410,9 | 5 531,9 | 2 967,0 | 2 564,9 | 5 334,1 | 2 789,9 | 2 544,2 | 5 001,2 | 2 572,5 | 2 428,7 | 2 Non-state | 45 609,4 | 23 727,7 | 21 881,7 | 45 573,5 | 23 685,4 | 21 888,1 | 44 736,4 | 23 604,5 | 21 131,9 | 45 467,3 | 23 732,7 | 21 734,6 | 3 Foreign investment | 2 094,9 | 702,4 | 1 392,5 | 2 143,3 | 716,2 | 1 427,1 | 2 345,8 | 774,8 | 1 571,0 | 2 057,6 | 705,7 | 1 351,8 | 4 Not stated | 204,6 | 95,4 | 109,3 | 191,5 | 93,2 | 98,3 | 10,7 | 5,0 | 5,8 | 4,2 | 1,5 | 2,7 | URBAN | 15 805,9 | 8 261,0 | 7 544,9 | 15 877,6 | 8 365,1 | 7 512,5 | 16 387,9 | 8 470,7 | 7 917,2 | 15 725,1 | 8 098,8 | 7 626,3 | 1 State | 3 083,7 | 1 704,5 | 1 379,2 | 3 119,6 | 1 699,3 | 1 420,3 | 3 052,5 | 1 599,8 | 1 452,6 | 2 843,0 | 1 466,0 | 1 377,0 | 2 Non-state | 11 686,2 | 6 148,9 | 5 537,3 | 11 723,9 | 6 241,8 | 5 482,1 | 12 356,2 | 6 523,4 | 5 832,7 | 11 924,4 | 6 291,8 | 5 632,6 | 3 Foreign investment | 996,3 | 387,9 | 608,3 | 982,6 | 396,1 | 586,5 | 976,8 | 346,8 | 629,9 | 955,9 | 340,3 | 615,6 | 4 Not stated | 39,8 | 19,8 | 20,0 | 51,5 | 27,9 | 23,6 | 2,5 | 0,6 | 1,9 | 1,8 | 0,9 | 0,9 | RURAL | 37 452,5 | 19 203,0 | 18 249,5 | 37 562,5 | 19 096,7 | 18 465,9 | 36 039,2 | 18 703,5 | 17 335,7 | 36 805,1 | 18 913,6 | 17 891,5 | 1 State | 2 265,7 | 1 234,0 | 1 031,7 | 2 412,3 | 1 267,7 | 1 144,6 | 2 281,6 | 1 190,1 | 1 091,6 | 2 158,2 | 1 106,5 | 1 051,7 | 2 Non-state | 33 923,3 | 17 578,9 | 16 344,4 | 33 849,6 | 17 443,6 | 16 406,0 | 32 380,3 | 17 081,1 | 15 299,1 | 33 542,9 | 17 441,0 | 16 102,0 | 3 Foreign investment | 1 098,6 | 314,5 | 784,2 | 1 160,7 | 320,1 | 840,6 | 1 369,1 | 428,0 | 941,1 | 1 101,7 | 365,5 | 736,2 | 4 Not stated | 164,9 | 75,6 | 89,3 | 140,0 | 65,3 | 74,7 | 8,2 | 4,3 | 3,9 | 2,4 | 0,6 | 1,8 |

Note: It is not included those people aged 15 and over who were currently not residing in Vietnam at the survey period (not regarded as the respondent for individual questionnaire)

Table 8

EMPLOYED POPULATION AGED 15 AND OVER BY SEX, URBAN/RURAL AND EMPLOYMENT STATUS

Unit: Thousand persons

Employment status | Quarter 3, 2014 | Quarter 4, 2014 | Quarter 1, 2015 | Quarter 2, 2015 | | Total | Male | Female | Total | Male | Female | Total | Male | Female | Total | Male | Female | ENTIRE COUNTRY | 53 258,4 | 27 464,0 | 25 794,4 | 53 440,2 | 27 461,8 | 25 978,4 | 52 427 ,0 | 27 174 ,2 | 25 252 ,9 | 52 530,2 | 27 012,4 | 25 517,8 | 1 Employer | 1 037,9 | 742,1 | 295,8 | 1 073,2 | 771,4 | 301,8 | 1 564 ,4 | 1 073 ,0 | 491 ,4 | 1 489,5 | 1 017,0 | 472,5 | 2 Own-account worker | 21 981,1 | 11 091,5 | 10 889,5 | 21 599,2 | 10 846,9 | 10 752,3 | 22 084 ,3 | 11 533 ,7 | 10 550 ,6 | 21 031,8 | 10 866,7 | 10 165,1 | 3 Unpaid family worker | 11 501,1 | 4 606,7 | 6 894,4 | 11 282,7 | 4 431,7 | 6 851,0 | 8 944 ,6 | 3 140 ,8 | 5 803 ,8 | 9 604,2 | 3 330,8 | 6 273,4 | 4 Wage worker | 18 713,4 | 11 009,9 | 7 703,5 | 19 462,5 | 11 397,9 | 8 064,6 | 19 814 ,1 | 11 410 ,6 | 8 403 ,4 | 20 389,2 | 11 788,0 | 8 601,3 | 5 Member of cooperative | 8,9 | 5,8 | 3,1 | 10,2 | 6,7 | 3,5 | 15 ,5 | 14 ,1 | 1 ,4 | 9,5 | 6,3 | 3,3 | 6 Not stated | 16,0 | 8,0 | 8,1 | 12,3 | 7,1 | 5,2 | 4 ,3 | 2 ,0 | 2 ,3 | 6,0 | 3,7 | 2,2 | URBAN | 15 805,9 | 8 261,0 | 7 544,9 | 15 877,6 | 8 365,1 | 7 512,5 | 16 387 ,9 | 8 470 ,7 | 7 917 ,2 | 15 725,1 | 8 098,8 | 7 626,3 | 1 Employer | 580,6 | 375,6 | 205,0 | 584,0 | 375,0 | 209,0 | 840 ,6 | 534 ,5 | 306 ,1 | 762,5 | 469,2 | 293,3 | 2 Own-account worker | 5 142,8 | 2 406,8 | 2 736,0 | 5 043,5 | 2 383,2 | 2 660,2 | 4 842 ,9 | 2 310 ,1 | 2 532 ,8 | 4 530,1 | 2 140,1 | 2 390,0 | 3 Unpaid family worker | 1 690,3 | 759,6 | 930,7 | 1 652,9 | 751,9 | 901,0 | 1 561 ,5 | 634 ,7 | 926 ,8 | 1 496,3 | 609,5 | 886,8 | 4 Wage worker | 8 388,3 | 4 716,7 | 3 671,6 | 8 592,7 | 4 852,1 | 3 740,5 | 9 133 ,1 | 4 983 ,1 | 4 150 ,0 | 3,3 | 1,8 | 1,5 | 5 Member of cooperative | 2,4 | 1,9 | 0,5 | 2,5 | 2,3 | 0,2 | 8 ,8 | 8 ,0 | 0 ,8 | 8 929,6 | 4 875,8 | 4 053,8 | 6 Not stated | 1,6 | 0,5 | 1,0 | 2,0 | 0,5 | 1,5 | 0 ,9 | 0 ,2 | 0 ,7 | 3,3 | 2,3 | 1,0 | RURAL | 37 452,5 | 19 203,0 | 18 249,5 | 37 562,5 | 19 096,7 | 18 465,9 | 36 039 ,2 | 18 703 ,5 | 17 335 ,7 | 36 805,1 | 18 913,6 | 17 891,5 | 1 Employer | 457,3 | 366,6 | 90,7 | 489,1 | 396,4 | 92,7 | 723 ,8 | 538 ,4 | 185 ,3 | 727,0 | 547,8 | 179,3 | 2 Own-account worker | 16 838,3 | 8 684,8 | 8 153,5 | 16 555,8 | 8 463,7 | 8 092,1 | 17 241 ,4 | 9 223 ,6 | 8 017 ,8 | 16 501,7 | 8 726,6 | 7 775,1 | 3 Unpaid family worker | 9 810,8 | 3 847,1 | 5 963,7 | 9 629,8 | 3 679,7 | 5 950,0 | 7 383 ,1 | 2 506 ,0 | 4 877 ,0 | 8 107,9 | 2 721,3 | 5 386,6 | 4 Wage worker | 10 325,1 | 6 293,2 | 4 031,9 | 10 869,8 | 6 545,8 | 4 324,0 | 10 681 ,0 | 6 427 ,5 | 4 253 ,4 | 11 459,6 | 6 912,1 | 4 547,5 | 5 Member of cooperative | 6,5 | 3,9 | 2,6 | 7,7 | 4,4 | 3,3 | 6 ,6 | 6 ,1 | 0 ,5 | 6,2 | 4,4 | 1,7 | 6 Not stated | 14,5 | 7,5 | 7,0 | 10,3 | 6,6 | 3,7 | 3 ,4 | 1 ,8 | 1 ,6 | 2,7 | 1,4 | 1,3 |

Note: It is not included those people aged 15 and over who were currently not residing in Vietnam at the survey period (not regarded as the respondent for individual questionnaire)

Table 9

EMPLOYED POPULATION AGED 15 AND OVER BY SEX, URBAN/RURAL, AND MAIN OCCUPATIONAL GROUP

Unit: Thousand persons

Occupational group | Quarter 3, 2014 | Quarter 4, 201 | 4 | Quarter 1, 201 | 5 | Quarter 2, 201 | 5 | | Total | Male | Female | Total | Male | Female | Total | Male | Female | Total | Male | Female | ENTIRE COUNTRY | 53 258,4 | 27 464,0 | 25 794,4 | 53 440,2 | 27 461,8 | 25 978,4 | 52 427,0 | 27 174,2 | 25 252,9 | 52 530,2 | 27 012,4 | 25 517,8 | 1. Leaders, managers and administrators | 527,7 | 409,2 | 118,5 | 600,6 | 466,1 | 134,5 | 681,0 | 505,0 | 176,0 | 540,4 | 399,4 | 141,0 | 2. High level technicians and professionals | 3 161,9 | 1 493,1 | 1 668,8 | 3 175,6 | 1 511,8 | 1 663,8 | 3 468,9 | 1 628,3 | 1 840,7 | 3 371,6 | 1 523,1 | 1 848,5 | 3. Mid level technicians and associate | 1 554,9 | 753,4 | 801,4 | 1 703,0 | 776,9 | 926,1 | 1 756,7 | 792,0 | 964,6 | 1 637,3 | 755,4 | 881,9 | 4. Clerks | 925,8 | 491,8 | 434,0 | 901,0 | 500,3 | 400,7 | 967,0 | 489,2 | 477,8 | 916,2 | 460,1 | 456,1 | 5. Service workers and sales workers | 8 468,4 | 3 169,6 | 5 298,8 | 8 723,8 | 3 291,9 | 5 431,9 | 8 755,4 | 3 386,9 | 5 368,5 | 8 657,9 | 3 352,7 | 5 305,2 | 6. Skilled agricultural, forestry and fishery | 6 601,0 | 3 857,5 | 2 743,6 | 6 498,7 | 3 742,1 | 2 756,6 | 5 076,2 | 3 030,9 | 2 045,3 | 5 387,1 | 3 205,9 | 2 181,2 | 7. Craft and related workers | 6 535,8 | 4 511,7 | 2 024,1 | 6 673,7 | 4 633,6 | 2 040,1 | 6 820,2 | 4 755,6 | 2 064,6 | 6 242,6 | 4 427,1 | 1 815,5 | 8. Plant, machine operators and assemblers | 3 999,1 | 2 466,6 | 1 532,5 | 4 122,6 | 2 509,2 | 1 613,5 | 4 641,2 | 2 694,1 | 1 947,0 | 4 327,0 | 2 556,5 | 1 770,5 | 9. Elementary workers | 21 341,0 | 10 191,2 | 11 149,8 | 20 923,2 | 9 927,7 | 10 995,5 | 20 183,0 | 9 820,6 | 10 362,4 | 21 339,5 | 10 226,5 | 11 113,1 | 10 Not stated (including army force and ) | 142,7 | 120,1 | 22,7 | 118,0 | 102,3 | 15,7 | 77,5 | 71,6 | 5,8 | 110,5 | 105,5 | 5,0 | URBAN | 15 805,9 | 8 261,0 | 7 544,9 | 15 877,6 | 8 365,1 | 7 512,5 | 16 387,9 | 8 470,7 | 7 917,2 | 15 725,1 | 8 098,8 | 7 626,3 | 1. Leaders, managers and administrators | 321,5 | 247,1 | 74,4 | 335,3 | 257,2 | 78,1 | 406,4 | 296,8 | 109,6 | 322,3 | 234,7 | 87,6 | 2. High level technicians and professionals | 2 192,0 | 1 077,5 | 1 114,6 | 2 182,8 | 1 091,2 | 1 091,6 | 2 395,6 | 1 138,2 | 1 257,4 | 2 319,5 | 1 060,9 | 1 258,6 | 3. Mid level technicians and associate | 789,5 | 373,4 | 416,1 | 860,6 | 400,6 | 460,0 | 920,9 | 418,1 | 502,8 | 856,1 | 393,9 | 462,2 | 4. Clerks | 525,3 | 249,4 | 275,9 | 504,9 | 252,2 | 252,7 | 562,9 | 262,1 | 300,8 | 540,7 | 252,9 | 287,8 | 5. Service workers and sales workers | 4 389,3 | 1 663,2 | 2 726,1 | 4 378,6 | 1 670,1 | 2 708,5 | 4 588,2 | 1 769,5 | 2 818,7 | 4 398,5 | 1 693,0 | 2 705,5 | 6. Skilled agricultural, forestry and fishery | 797,9 | 493,5 | 304,3 | 774,5 | 498,6 | 275,9 | 647,2 | 437,2 | 210,0 | 629,4 | 421,8 | 207,6 | 7. Craft and related workers | 2 163,7 | 1 492,4 | 671,3 | 2 190,2 | 1 527,3 | 662,9 | 2 266,6 | 1 576,5 | 690,1 | 2 126,8 | 1 492,0 | 634,8 | 8. Plant, machine operators and assemblers | 1 844,0 | 1 216,1 | 628,0 | 1 890,5 | 1 253,2 | 637,3 | 2 030,6 | 1 269,3 | 761,3 | 1 867,3 | 1 172,7 | 694,5 | 9. Elementary workers | 2 700,3 | 1 377,5 | 1 322,8 | 2 680,1 | 1 345,4 | 1 334,7 | 2 513,3 | 1 252,7 | 1 260,6 | 2 596,1 | 1 312,7 | 1 283,4 | 10 Not stated (including army force) | 82,4 | 70,9 | 11,5 | 80,0 | 69,3 | 10,7 | 56,1 | 50,3 | 5,8 | 68,5 | 64,3 | 4,2 | RURAL | 37 452,5 | 19 203,0 | 18 249,5 | 37 562,5 | 19 096,7 | 18 465,9 | 36 039,2 | 18 703,5 | 17 335,7 | 36 805,1 | 18 913,6 | 17 891,5 | 1. Leaders, managers and administrators | 206,2 | 162,0 | 44,1 | 265,3 | 208,9 | 56,4 | 274,6 | 208,2 | 66,4 | 218,1 | 164,7 | 53,4 | 2. High level technicians and professionals | 969,9 | 415,6 | 554,3 | 992,8 | 420,6 | 572,2 | 1 073,3 | 490,0 | 583,3 | 1 052,1 | 462,2 | 589,9 | 3. Mid level technicians and associate | 765,4 | 380,0 | 385,4 | 842,3 | 376,3 | 466,0 | 835,8 | 374,0 | 461,8 | 781,2 | 361,6 | 419,7 | 4. Clerks | 400,5 | 242,4 | 158,1 | 396,1 | 248,1 | 148,0 | 404,1 | 227,1 | 177,0 | 375,5 | 207,3 | 168,2 | 5. Service workers and sales workers | 4 079,0 | 1 506,4 | 2 572,7 | 4 345,1 | 1 621,7 | 2 723,4 | 4 167,2 | 1 617,4 | 2 549,8 | 4 259,4 | 1 659,7 | 2 599,7 | 6. Skilled agricultural, forestry and fishery | 5 803,2 | 3 363,9 | 2 439,3 | 5 724,2 | 3 243,6 | 2 480,7 | 4 429,0 | 2 593,7 | 1 835,4 | 4 757,7 | 2 784,1 | 1 973,6 | 7. Craft and related workers | 4 372,2 | 3 019,3 | 1 352,9 | 4 483,5 | 3 106,3 | 1 377,2 | 4 553,6 | 3 179,1 | 1 374,5 | 4 115,8 | 2 935,1 | 1 180,7 | 8. Plant, machine operators and assemblers | 2 155,0 | 1 250,5 | 904,6 | 2 232,1 | 1 256,0 | 976,1 | 2 610,6 | 1 424,8 | 1 185,7 | 2 459,7 | 1 383,8 | 1 075,9 | 9. Elementary workers | 18 640,7 | 8 813,6 | 9 827,0 | 18 243,1 | 8 582,3 | 9 660,8 | 17 669,7 | 8 567,9 | 9 101,8 | 18 743,5 | 8 913,8 | 9 829,6 | 10 Not stated (including army force) | 60,5 | 49,2 | 11,3 | 38,0 | 33,0 | 5,0 | 21,4 | 21,4 | 0,0 | 42,1 | 41,2 | 0,9 |
Note: It is not included those people aged 15 and over who were currently not residing in Vietnam at the survey period (not regarded as the respondent for individual questionnaire)

Table 10

AVERAGE MONTHLY EARNINGS OF WAGE WORKERS AGED 15 AND OVER BY SEX,
URBAN/RURAL AND INDUSTRIAL SECTOR

Unit: Thousand VND

Industry | Quarter 3, | 2014 | Quarter 4, 2014 | | Quarter 1, 2015 | | Quarter 2, 2015 | | | Total | Male | Female | Total | Male | Female | Total | Male | Female | Total | Male | Female | ENTIRE COUNTRY | 53 258,4 | 27 464,0 | 25 794,4 | 53 440,2 | 27 461,8 | 25 978,4 | 52 427,0 | 27 174,2 | 25 252,9 | 52 530,2 | 27 012,4 | 25 517,8 | 1. Agriculture, forestry and fishery sector | 24 792,0 | 12 297,5 | 12 494,5 | 24 182,5 | 11 843,3 | 12 339,2 | 23 589,3 | 11 818,8 | 11 770,5 | 23 477,6 | 11 617,8 | 11 859,8 | A. Argriculture, forestry and fishery | 24 792,0 | 12 297,5 | 12 494,5 | 24 182,5 | 11 843,3 | 12 339,2 | 23 589,3 | 11 818,8 | 11 770,5 | 23 477,6 | 11 617,8 | 11 859,8 | 2. Industry and construction sector | 11 574,6 | 6 960,1 | 4 614,5 | 11 942,7 | 7 211,6 | 4 731,1 | 11 270,5 | 6 660,2 | 4 610,2 | 11 627,5 | 6 912,8 | 4 714,7 | B. Mining and quarrying | 233,8 | 176,2 | 57,6 | 248,6 | 201,0 | 47,5 | 200,9 | 163,7 | 37,2 | 224,3 | 163,8 | 60,5 | C. Manufacturing | 7 881,5 | 3 695,1 | 4 186,4 | 7 949,4 | 3 687,1 | 4 262,3 | 7 863,0 | 3 624,0 | 4 239,1 | 8 036,9 | 3 756,3 | 4 280,5 | D. Production and distribution of electricity, | | | | | | | | | | | | | gas, steam and hot water and air- | 157,8 | 134,1 | 23,7 | 141,1 | 116,7 | 24,3 | 127,0 | 104,7 | 22,2 | 126,3 | 102,9 | 23,4 | conditioners | | | | | | | | | | | | | E. Distribution of water, management and processing activities of sewage and waste | 127,0 | 72,5 | 54,5 | 100,0 | 53,9 | 46,1 | 119,0 | 68,2 | 50,8 | 116,9 | 71,0 | 45,9 | F. Construction | 3 174,5 | 2 882,2 | 292,3 | 3 503,6 | 3 152,8 | 350,8 | 2 960,6 | 2 699,5 | 261,1 | 3 123,1 | 2 818,7 | 304,4 | 3. Services sector | 16 849,0 | 8 178,0 | 8 670,9 | 17 308,1 | 8 402,4 | 8 905,7 | 17 560,9 | 8 538,7 | 9 022,2 | 17 424,2 | 8 480,9 | 8 943,3 | G. Wholesale and retail trade, repair of cars, motorcycles and other motor vehicles | 6 471,2 | 2 724,5 | 3 746,7 | 6 762,2 | 2 918,1 | 3 844,1 | 6 671,4 | 2 907,2 | 3 764,2 | 6 624,3 | 2 890,5 | 3 733,8 | H. Transport and storage | 1 594,3 | 1 441,9 | 152,4 | 1 565,6 | 1 415,8 | 149,8 | 1 612,2 | 1 465,4 | 146,9 | 1 625,8 | 1 479,4 | 146,4 | I. Hotels and restaurants | 2 330,3 | 716,7 | 1 613,5 | 2 325,4 | 700,7 | 1 624,7 | 2 430,4 | 810,1 | 1 620,3 | 2 475,0 | 815,5 | 1 659,5 | J. Information and communication | 322,4 | 208,8 | 113,5 | 321,2 | 205,2 | 116,1 | 352,2 | 221,4 | 130,8 | 325,4 | 203,5 | 122,0 | K. Financial intermediation, banking and insurance | 313,4 | 142,4 | 170,9 | 364,8 | 182,1 | 182,7 | 346,8 | 164,6 | 182,2 | 376,8 | 179,3 | 197,5 | L.Real estate activities | 162,6 | 86,7 | 75,9 | 167,8 | 95,8 | 72,0 | 180,1 | 105,5 | 74,5 | 152,6 | 84,1 | 68,5 | M. Technological, scientific and spicilized activities | 224,8 | 144,8 | 80,0 | 218,3 | 148,9 | 69,4 | 228,2 | 145,6 | 82,6 | 231,2 | 154,0 | 77,3 | N. Administrative activities and supporting services | 252,3 | 158,0 | 94,3 | 263,1 | 177,7 | 85,4 | 268,0 | 167,4 | 100,6 | 278,1 | 179,3 | 98,8 | O. Activities of communist party, social- | | | | | | | | | | | | | political organizations, governmental | 1 665,9 | 1 227,5 | 438,4 | 1 749,0 | 1 289,9 | 459,1 | 1 694,3 | 1 211,8 | 482,5 | 1 623,2 | 1 173,7 | 449,4 | management, national defence security; | | | | | | | | | | | | | compulsory social securityP. Training and education | 1 819,1 | 547,0 | 1 272,1 | 1 877,8 | 510,6 | 1 367,2 | 1 863,4 | 511,6 | 1 351,9 | 1 807,2 | 474,1 | 1 333,1 | Q. Health and social work | 469,4 | 191,1 | 278,3 | 465,6 | 172,0 | 293,6 | 550,2 | 203,7 | 346,5 | 541,4 | 205,9 | 335,4 | R. Recreational cultural and sporting activities | 277,3 | 146,8 | 130,6 | 253,1 | 139,6 | 113,5 | 299,9 | 147,8 | 152,0 | 269,8 | 138,3 | 131,4 | S. Other service activities | 763,5 | 428,0 | 335,5 | 780,3 | 433,5 | 346,8 | 854,3 | 466,3 | 388,0 | 894,4 | 491,8 | 402,6 | T. Activities of domestic hired labourers in | | | | | | | | | | | | | households which producing products and | 180,0 | 13,8 | 166,1 | 192,5 | 12,4 | 180,1 | 205,9 | 9,4 | 196,5 | 195,4 | 9,4 | 185,9 | services consuming by themselves | | | | | | | | | | | | | U. Extra territorial organizations and bodies | 2,5 | 0,0 | 2,5 | 1,4 | 0,0 | 1,4 | 3,8 | 1,0 | 2,8 | 3,8 | 2,1 | 1,7 | 4. Not stated | 42,9 | 28,5 | 14,5 | 6,8 | 4,5 | 2,3 | 6,3 | 4,2 | 2,1 | 0,9 | 0,9 | 0,0 |

h Table 10 (continued) Unit: Thousand VND

Industry | Quarter 3, | 2014 | Quarter 4, 2014 | Quarter 1, 2015 | Quarter 2, 2015 | | Total | Male | Female | Total | Male | Female | Total | Male | Female | Total | Male | Female | ENTIRE COUNTRY | 15 805,9 | 8 261,0 | 7 544,9 | 15 877,6 | 8 365,1 | 7 512,5 | 16 387,9 | 8 470,7 | 7 917,2 | 15 725,1 | 8 098,8 | 7 626,3 | 1. Agriculture, forestry and | | | | | | | | | | | | | fishery sector | 2 309,9 | 1 272,9 | 1 037,1 | 2 268,1 | 1 243,6 | 1 024,6 | 2 050,2 | 1 141,1 | 909,2 | 2 008,5 | 1 107,7 | 900,8 | A. Argriculture, forestry and | | | | | | | | | | | | | fishery | 2 309,9 | 1 272,9 | 1 037,1 | 2 268,1 | 1 243,6 | 1 024,6 | 2 050,2 | 1 141,1 | 909,2 | 2 008,5 | 1 107,7 | 900,8 | 2. Industry and construction | | | | | | | | | | | | | sector | 4 265,9 | 2 498,0 | 1 767,9 | 4 347,3 | 2 572,8 | 1 774,4 | 4 147,4 | 2 380,7 | 1 766,6 | 4 252,5 | 2 429,3 | 1 823,1 | B. Mining and quarrying | 128,9 | 92,5 | 36,5 | 127,9 | 93,6 | 34,2 | 94,6 | 68,4 | 26,2 | 97,4 | 69,0 | 28,5 | C. Manufacturing | 3 052,6 | 1 479,1 | 1 573,5 | 3 081,6 | 1 505,9 | 1 575,8 | 3 041,9 | 1 452,7 | 1 589,3 | 3 114,9 | 1 468,9 | 1 646,0 | D. Production and distribution of | | | | | | | | | | | | | electricity, gas, steam and hot | 92,9 | 78,3 | 14,5 | 88,2 | 70,6 | 17,5 | 84,6 | 66,8 | 17,7 | 77,5 | 61,3 | 16,2 | water and air-conditioners | | | | | | | | | | | | | E. Distribution of water, | | | | | | | | | | | | | management and processing | 74,0 | 40,4 | 33,6 | 64,7 | 36,7 | 27,9 | 79,3 | 45,5 | 33,9 | 65,8 | 39,2 | 26,6 | activities of sewage and waste | | | | | | | | | | | | | F. Construction | 917,5 | 807,7 | 109,8 | 984,9 | 866,0 | 119,0 | 847,0 | 747,4 | 99,6 | 896,8 | 790,9 | 105,9 | 3. Services sector | 9 220,6 | 4 486,2 | 4 734,4 | 9 259,5 | 4 547,0 | 4 712,5 | 10 187,9 | 4 947,8 | 5 240,1 | 9 464,2 | 4 561,9 | 4 902,3 | G. Wholesale and retail trade, | | | | | | | | | | | | | repair of cars, motorcycles and | 3 169,0 | 1 371,2 | 1 797,8 | 3 232,0 | 1 421,5 | 1 810,5 | 3 519,8 | 1 559,3 | 1 957,7 | 3 282,0 | 1 437,5 | 1 844,5 | other motor vehicles | | | | | | | | | | | | | H. Transport and storage | 859,3 | 772,3 | 87,1 | 861,3 | 772,9 | 88,5 | 940,4 | 838,2 | 109,1 | 885,1 | 784,5 | 100,7 | I. Hotels and restaurants | 1 433,8 | 450,1 | 983,7 | 1 347,6 | 427,5 | 920,1 | 1 569,2 | 533,8 | 1 031,2 | 1 462,3 | 497,5 | 964,8 | J. Information and | | | | | | | | | | | | | communication | 245,6 | 159,1 | 86,5 | 242,3 | 154,2 | 88,0 | 276,0 | 170,5 | 106,2 | 242,8 | 145,4 | 97,3 | K. Financial intermediation, | | | | | | | | | | | | | banking and insurance | 254,2 | 114,5 | 139,7 | 290,9 | 136,8 | 154,2 | 292,3 | 133,5 | 158,6 | 305,1 | 144,6 | 160,5 | L.Real estate activities | 130,6 | 64,7 | 65,8 | 132,6 | 75,4 | 57,2 | 148,1 | 87,1 | 61,2 | 118,7 | 59,5 | 59,2 | M. Technological, scientific and | | | | | | | | | | | | | spicilized activities | 174,1 | 105,2 | 68,9 | 168,5 | 113,8 | 54,7 | 186,3 | 113,3 | 73,5 | 166,5 | 104,4 | 62,2 | N. Administrative activities and | | | | | | | | | | | | | supporting services | 172,5 | 103,5 | 69,1 | 190,8 | 126,2 | 64,6 | 187,5 | 112,5 | 75,4 | 180,9 | 111,8 | 69,1 | O. Activities of communist party, | | | | | | | | | | | | | social-political organizations, | | | | | | | | | | | | | governmental management, | 920,4 | 640,5 | 279,9 | 916,5 | 635,8 | 280,8 | 1 011,5 | 685,5 | 329,4 | 920,4 | 624,0 | 296,5 | national defence security; | | | | | | | | | | | | | compulsory social security | | | | | | | | | | | | | P. Training and education | 911,9 | 285,4 | 626,4 | 919,5 | 271,7 | 647,8 | 964,3 | 261,2 | 699,3 | 873,3 | 227,0 | 646,3 | Q. Health and social work | 295,8 | 120,7 | 175,1 | 289,9 | 110,4 | 179,6 | 352,4 | 126,6 | 225,0 | 328,8 | 113,4 | 215,4 | R. Recreational cultural and | | | | | | | | | | | | | sporting activities | 163,1 | 83,6 | 79,4 | 158,5 | 89,2 | 69,3 | 181,6 | 94,0 | 87,7 | 162,8 | 86,1 | 76,8 | S. Other service activities | 398,3 | 211,7 | 186,5 | 405,2 | 209,8 | 195,5 | 442,7 | 225,7 | 217,3 | 436,6 | 220,2 | 216,4 | T. Activities of domestic hired | | | | | | | | | | | | | labourers in households which | | | | | | | | | | | | | producing products and services | 90,2 | 3,7 | 86,5 | 102,3 | 1,9 | 100,4 | 113,5 | 5,5 | 107,1 | 95,6 | 4,3 | 91,3 | consuming by themselves | | | | | | | | | | | | | U. Extra territorial organizations | | | | | | | | | | | | | and bodies | 1,8 | 0,0 | 1,8 | 1,4 | 0,0 | 1,4 | 2,2 | 0,9 | 1,3 | 3,1 | 1,6 | 1,4 | 4. Not stated | 9,5 | 3,9 | 5,6 | 2,7 | 1,7 | 1,0 | 2,4 | 1,1 | 1,4 | 0,0 | 0,0 | 0,0 |

Table 10 (continued) Unit: Thousand VND

Industry | Quarter 3, 2014 | Quarter 4, 201 | 4 | Quarter 1, 201 | 5 | Quarter 2, 201 | 5 | | Total | Male | Female | Total | Male | Female | Total | Male | Female | Total | Male | Female | ENTIRE COUNTRY | 37 452,5 | 19 203,0 | 18 249,5 | 37 562,5 | 19 096,7 | 18 465,9 | 36 039,1 | 18 703,5 | 17 335,7 | 36 805,1 | 18 913,6 | 17 891,5 | 1. Agriculture, forestry and | | | | | | | | | | | | | fishery sector | 22 482,0 | 11 024,6 | 11 457,4 | 21 914,4 | 10 599,8 | 11 314,6 | 21 539,1 | 10 677,8 | 10 861,3 | 21 469,1 | 10 510,2 | 10 958,9 | A. Argriculture, forestry and | | | | | | | | | | | | | fishery | 22 482,0 | 11 024,6 | 11 457,4 | 21 914,4 | 10 599,8 | 11 314,6 | 21 539,1 | 10 677,8 | 10 861,3 | 21 469,1 | 10 510,2 | 10 958,9 | 2. Industry and construction | | | | | | | | | | | | | sector | 7 308,7 | 4 462,1 | 2 846,6 | 7 595,4 | 4 638,7 | 2 956,7 | 7 123,1 | 4 279,5 | 2 843,6 | 7 375,0 | 4 483,4 | 2 891,6 | B. Mining and quarrying | 104,9 | 83,7 | 21,1 | 120,7 | 107,4 | 13,3 | 106,3 | 95,3 | 11,0 | 126,9 | 94,9 | 32,0 | C. Manufacturing | 4 828,9 | 2 216,0 | 2 612,9 | 4 867,7 | 2 181,2 | 2 686,5 | 4 821,1 | 2 171,4 | 2 649,9 | 4 921,9 | 2 287,4 | 2 634,5 | D. Production and distribution | | | | | | | | | | | | | of electricity, gas, steam and | 64,9 | 55,7 | 9,2 | 52,9 | 46,1 | 6,8 | 42,4 | 37,9 | 4,4 | 48,7 | 41,6 | 7,1 | hot water and air-conditioners | | | | | | | | | | | | | E. Distribution of water, | | | | | | | | | | | | | management and processing | 53,0 | 32,1 | 20,9 | 35,4 | 17,2 | 18,2 | 39,7 | 22,8 | 16,9 | 51,2 | 31,8 | 19,4 | activities of sewage and waste | | | | | | | | | | | | | F. Construction | 2 257,0 | 2 074,5 | 182,5 | 2 518,7 | 2 286,8 | 231,8 | 2 113,6 | 1 952,1 | 161,5 | 2 226,3 | 2 027,8 | 198,5 | 3. Services sector | 7 628,4 | 3 691,8 | 3 936,5 | 8 048,7 | 3 855,4 | 4 193,3 | 7 373,0 | 3 590,9 | 3 782,1 | 7 960,1 | 3 919,1 | 4 041,0 | G. Wholesale and retail trade, | | | | | | | | | | | | | repair of cars, motorcycles | 3 302,2 | 1 353,4 | 1 948,9 | 3 530,2 | 1 496,7 | 2 033,5 | 3 151,6 | 1 347,9 | 1 806,5 | 3 342,2 | 1 453,0 | 1 889,3 | and other motor vehicles | | | | | | | | | | | | | H. Transport and storage | 735,0 | 669,6 | 65,4 | 704,3 | 643,0 | 61,3 | 671,8 | 627,2 | 37,8 | 740,7 | 695,0 | 45,7 | I. Hotels and restaurants | 896,5 | 266,7 | 629,8 | 977,8 | 273,2 | 704,6 | 861,2 | 276,2 | 589,1 | 1 012,7 | 318,0 | 694,7 | J. Information and | | | | | | | | | | | | | communication | 76,8 | 49,8 | 27,0 | 79,0 | 50,9 | 28,0 | 76,1 | 50,9 | 24,5 | 82,7 | 58,0 | 24,6 | K. Financial intermediation, | | | | | | | | | | | | | banking and insurance | 59,1 | 27,9 | 31,2 | 73,9 | 45,4 | 28,5 | 54,5 | 31,1 | 23,5 | 71,7 | 34,7 | 37,0 | L.Real estate activities | 32,0 | 21,9 | 10,1 | 35,2 | 20,4 | 14,8 | 32,0 | 18,4 | 13,3 | 33,8 | 24,5 | 9,3 | M. Technological, scientific | | | | | | | | | | | | | and spicilized activities | 50,7 | 39,6 | 11,1 | 49,8 | 35,0 | 14,7 | 41,9 | 32,3 | 9,1 | 64,7 | 49,6 | 15,1 | N. Administrative activities | | | | | | | | | | | | | and supporting services | 79,8 | 54,5 | 25,3 | 72,3 | 51,5 | 20,8 | 80,4 | 54,9 | 25,2 | 97,2 | 67,5 | 29,7 | O. Activities of communist | | | | | | | | | | | | | party, social-political | | | | | | | | | | | | | organizations, governmental | 745,5 | 587,0 | 158,5 | 832,4 | 654,1 | 178,3 | 682,8 | 526,3 | 153,1 | 702,7 | 549,8 | 153,0 | management, national defence | | | | | | | | | | | | | security; | | | | | | | | | | | | | compulsory social security | | | | | | | | | | | | | P. Training and education | 907,2 | 261,5 | 645,7 | 958,3 | 238,9 | 719,4 | 899,1 | 250,4 | 652,6 | 933,9 | 247,1 | 686,8 | Q. Health and social work | 173,7 | 70,4 | 103,3 | 175,6 | 61,6 | 114,0 | 197,8 | 77,1 | 121,5 | 212,5 | 92,5 | 120,0 | R. Recreational cultural and | | | | | | | | | | | | | sporting activities | 114,3 | 63,2 | 51,1 | 94,6 | 50,4 | 44,2 | 118,2 | 53,8 | 64,3 | 106,9 | 52,2 | 54,7 | S. Other service activities | 365,2 | 216,2 | 149,0 | 375,1 | 223,8 | 151,3 | 411,6 | 240,6 | 170,7 | 457,8 | 271,6 | 186,2 | T. Activities of domestic hired | | | | | | | | | | | | | labourers in households which | | | | | | | | | | | | | producing products and | 89,8 | 10,1 | 79,7 | 90,2 | 10,5 | 79,8 | 92,4 | 3,9 | 89,5 | 99,8 | 5,1 | 94,7 | services consuming by | | | | | | | | | | | | | themselves | | | | | | | | | | | | | U. Extra territorial | | | | | | | | | | | | | organizations and bodies | 0,6 | 0,0 | 0,6 | 0,0 | 0,0 | 0,0 | 1,6 | 0,1 | 1,5 | 0,7 | 0,5 | 0,3 | 4. Not stated | 33,5 | 24,5 | 8,9 | 4,1 | 2,7 | 1,3 | 3,9 | 3,1 | 0,7 | 0,9 | 0,9 | 0,0 |

Note: It is not included those people aged 15 and over who were currently not residing in Vietnam at the survey period (not regarded as the respondent for individual questionnaire)

Table 11

AVERAGE MONTHLY EARNINGS OF WAGE WORKERS AGED 15 AND OVER BY SEX, URBAN/RURAL AND SOCIAL-ECONOMIC REGION

Unit: Thousand VND Social-economic region | Quarter 3, 2 | 014 | Quarter 4, 201 | 4 | Quarter 1, 2015 | Quarter 2, 2015 | | | Total | Male | Female | Total | Male | Female | Total | Male | Female | Total | Male | Female | ENTIRE COUNTRY | 4 439 | 4 631 | 4 164 | 4 397 | 4 576 | 4 144 | 4 895 | 5 034 | 4 706 | 4 458 | 4 693 | 4 136 | R1 Northern Midlands and Mountains | 4 557 | 4 533 | 4 593 | 4 581 | 4 516 | 4 676 | 4 477 | 4 485 | 4 464 | 4 312 | 4 287 | 4 349 | R2 Red River Delta (*) | 4 323 | 4 543 | 4 037 | 4 296 | 4 542 | 3 974 | 4 435 | 4 677 | 4 113 | 4 248 | 4 567 | 3 848 | R3 North and South Central Coast | 4 114 | 4 340 | 3 706 | 3 913 | 4 097 | 3 602 | 4 501 | 4 431 | 4 609 | 4 010 | 4 248 | 3 630 | R4 Central Highland | 4 175 | 4 319 | 3 971 | 4 100 | 4 247 | 3 884 | 4 626 | 4 811 | 4 370 | 3 934 | 4 181 | 3 623 | R5 Southeast (*) | 4 689 | 4 951 | 4 386 | 4 755 | 5 053 | 4 416 | 5 528 | 5 796 | 5 209 | 4 850 | 5 151 | 4 471 | R6 Mekong River Delta | 3 452 | 3 703 | 3 047 | 3 523 | 3 716 | 3 213 | 3 947 | 4 151 | 3 622 | 3 586 | 3 856 | 3 163 | R7 Ha Noi city | 5 302 | 5 455 | 5 101 | 5 334 | 5 551 | 5 051 | 6 045 | 6 433 | 5 579 | 5 422 | 5 758 | 5 028 | R8 Ho Chi Minh city | 5 508 | 5 831 | 5 096 | 5 302 | 5 581 | 4 929 | 5 957 | 6 264 | 5 606 | 5 754 | 6 111 | 5 322 | URBAN | 5 179 | 5 468 | 4 806 | 5 139 | 5 444 | 4 743 | 5 723 | 6 070 | 5 304 | 5 254 | 5 617 | 4 817 | R1 Northern Midlands and Mountains | 5 233 | 5 395 | 5 047 | 5 217 | 5 380 | 5 028 | 5 452 | 5 778 | 5 081 | 5 077 | 5 227 | 4 912 | R2 Red River Delta (*) | 5 051 | 5 397 | 4 622 | 5 050 | 5 450 | 4 551 | 5 316 | 5 793 | 4 769 | 4 916 | 5 401 | 4 395 | R3 North and South Central Coast | 4 529 | 4 853 | 4 061 | 4 530 | 4 842 | 4 083 | 4 825 | 5 180 | 4 384 | 4 636 | 5 025 | 4 123 | R4 Central Highland | 4 667 | 4 943 | 4 262 | 4 673 | 4 923 | 4 303 | 5 012 | 5 231 | 4 699 | 4 595 | 4 901 | 4 190 | R5 Southeast (*) | 5 286 | 5 669 | 4 867 | 5 357 | 5 760 | 4 915 | 6 108 | 6 385 | 5 762 | 5 253 | 5 607 | 4 815 | R6 Mekong River Delta | 3 996 | 4 210 | 3 644 | 3 984 | 4 257 | 3 550 | 4 508 | 4 817 | 4 008 | 4 168 | 4 519 | 3 610 | R7 Ha Noi city | 6 366 | 6 750 | 5 931 | 6 479 | 6 942 | 5 948 | 7 103 | 7 700 | 6 449 | 6 419 | 6 954 | 5 851 | R8 Ho Chi Minh city | 5 741 | 6 089 | 5 301 | 5 467 | 5 768 | 5 065 | 6 247 | 6 640 | 5 825 | 6 022 | 6 474 | 5 535 | RURAL | 3 835 | 3 999 | 3 578 | 3 807 | 3 930 | 3 621 | 4 190 | 4 233 | 4 125 | 3 837 | 4 040 | 3 529 | R1 Northern Midlands and Mountains | 4 204 | 4 152 | 4 294 | 4 273 | 4 152 | 4 469 | 4 027 | 3 982 | 4 103 | 3 934 | 3 899 | 3 994 | R2 Red River Delta (*) | 3 989 | 4 163 | 3 758 | 3 965 | 4 154 | 3 711 | 4 056 | 4 240 | 3 794 | 3 948 | 4 229 | 3 571 | R3 North and South Central Coast | 3 863 | 4 069 | 3 436 | 3 564 | 3 715 | 3 280 | 4 297 | 4 026 | 4 786 | 3 634 | 3 835 | 3 275 | R4 Central Highland | 3 678 | 3 671 | 3 688 | 3 594 | 3 646 | 3 520 | 4 192 | 4 326 | 4 013 | 3 431 | 3 612 | 3 212 | R5 Southeast (*) | 4 069 | 4 245 | 3 855 | 4 144 | 4 360 | 3 889 | 4 823 | 5 044 | 4 575 | 4 434 | 4 686 | 4 110 | R6 Mekong River Delta | 3 200 | 3 466 | 2 777 | 3 308 | 3 466 | 3 054 | 3 674 | 3 825 | 3 436 | 3 331 | 3 563 | 2 968 | R7 Ha Noi city | 4 095 | 4 169 | 3 980 | 4 093 | 4 207 | 3 922 | 4 517 | 4 782 | 4 152 | 4 300 | 4 536 | 3 993 | R8 Ho Chi Minh city | 4 379 | 4 609 | 4 074 | 4 443 | 4 615 | 4 209 | 4 765 | 4 922 | 4 535 | 4 680 | 4 973 | 4 103 |

Note: (*) Red River Delta excluded Hanoi city and Southeast excluded Ho Chi Minh city
It is not included those people aged 15 and over who were currently not residing in Vietnam (not regarded as the respondent for individual questionnaire)

Table 12

AVERAGE MONTHLY EARNINGS OF WAGE WORKERS AGED 15 AND OVER BY SEX, URBAN/RURAL AND PROFESSIONAL/TECHNICAL QUALIFICATION

Unit: Thousand VND Professional/Technical qualification | Quarter 3, 2 | 014 | Quarter 4, 2014 | | Quarter 1, 2015 | | Quarter 2, 2015 | | | Total | Male | Female | Total | Male | Female | Total | Male | Female | Total | Male | Female | ENTIRE COUNTRY | 4 439 | 4 631 | 4 164 | 4 397 | 4 576 | 4 144 | 4 895 | 5 034 | 4 706 | 4 458 | 4 693 | 4 136 | 1 No qualification | 3 617 | 3 762 | 3 396 | 3 636 | 3 787 | 3 408 | 4 007 | 4 070 | 3 916 | 3 677 | 3 861 | 3 407 | 2 Vocational training from 3 | 4 965 | 5 172 | 4 163 | 4 889 | 5 021 | 4 377 | 5 411 | 5 579 | 4 558 | 5 123 | 5 294 | 4 140 | 3 Professional secondary | 4 721 | 4 991 | 4 477 | 4 610 | 4 924 | 4 335 | 4 819 | 5 226 | 4 464 | 4 503 | 4 904 | 4 165 | 4 Professional college | 4 966 | 5 213 | 4 814 | 4 923 | 5 147 | 4 788 | 5 033 | 5 382 | 4 812 | 4 787 | 5 221 | 4 509 | 5 University and above | 6 675 | 7 302 | 5 961 | 6 612 | 7 177 | 5 974 | 7 278 | 7 785 | 6 752 | 6 693 | 7 404 | 5 981 | URBAN | 5 179 | 5 468 | 4 806 | 5 139 | 5 444 | 4 743 | 5 723 | 6 070 | 5 304 | 5 254 | 5 617 | 4 817 | 1 No qualification | 4 045 | 4 209 | 3 825 | 4 059 | 4 242 | 3 819 | 4 493 | 4 628 | 4 331 | 4 120 | 4 361 | 3 814 | 2 Vocational training from 3 | 5 200 | 5 387 | 4 542 | 5 259 | 5 464 | 4 572 | 5 941 | 6 156 | 4 928 | 5 412 | 5 600 | 4 482 | 3 Professional secondary | 4 961 | 5 286 | 4 692 | 4 933 | 5 356 | 4 589 | 5 383 | 5 968 | 4 937 | 4 959 | 5 585 | 4 520 | 4 Professional college | 5 153 | 5 523 | 4 911 | 5 053 | 5 329 | 4 865 | 5 517 | 6 032 | 5 185 | 5 016 | 5 461 | 4 729 | 5 University and above | 7 093 | 7 742 | 6 343 | 7 059 | 7 664 | 6 334 | 7 660 | 8 407 | 6 875 | 7 177 | 7 945 | 6 405 | RURAL | 3 835 | 3 999 | 3 578 | 3 807 | 3 930 | 3 621 | 4 190 | 4 233 | 4 125 | 3 837 | 4 040 | 3 529 | 1 No qualification | 3 382 | 3 535 | 3 128 | 3 408 | 3 563 | 3 156 | 3 724 | 3 783 | 3 630 | 3 446 | 3 623 | 3 165 | 2 Vocational training from 3 | 4 731 | 4 966 | 3 720 | 4 465 | 4 546 | 4 090 | 4 886 | 5 023 | 4 148 | 4 839 | 5 007 | 3 702 | 3 Professional secondary | 4 475 | 4 717 | 4 235 | 4 306 | 4 546 | 4 079 | 4 262 | 4 591 | 3 936 | 4 066 | 4 365 | 3 767 | 4 Professional college | 4 792 | 4 902 | 4 729 | 4 802 | 4 950 | 4 721 | 4 609 | 4 799 | 4 492 | 4 570 | 4 992 | 4 301 | 5 University and above | 5 658 | 6 205 | 5 059 | 5 582 | 5 946 | 5 222 | 6 359 | 6 252 | 6 465 | 5 548 | 6 113 | 4 989 |

Note: It is not included those people aged 15 and over who were currently not residing in Vietnam (not regarded as the respondent for individual questionnaire)

Table 13
AVERAGE MONTHLY EARNINGS OF WAGE WORKERS AGED 15 AND OVER BY SEX, URBAN/RURAL,
ECONOMIC & INDUSTRIAL SECTOR

Unit: thousand VND Economic/ Industrial sector | Quarter 3, 2014 | Quarter 4, 201 | 4 | Quarter 1, 201 | 5 | Quarter 2, 201 | 5 | | Total | Male | Female | Total | Male | Female | Total | Male | Female | Total | Male | Female | ENTIRE COUNTRY | 4 439,0 | 4 631,0 | 4 164,0 | 4 397,0 | 4 576,0 | 4 144,0 | 4 895,0 | 5 034,0 | 4 706,0 | 4 457,8 | 4 692,6 | 4 135,9 | Economic sector | | | | | | | | | | | | | 1 State | 5 413,0 | 5 692,0 | 5 072,0 | 5 323,0 | 5 571,0 | 5 034,0 | 5 872,0 | 6 094,0 | 5 630,0 | 5 322,6 | 5 702,3 | 4 920,5 | 2 Non-state | 3 861,0 | 4 102,0 | 3 404,0 | 3 860,0 | 4 104,0 | 3 395,0 | 4 349,0 | 4 540,0 | 3 997,0 | 4 035,7 | 4 298,1 | 3 573,0 | 3 Foreign investment | 5 051,0 | 5 719,0 | 4 713,0 | 4 946,0 | 5 527,0 | 4 654,0 | 5 529,0 | 6 285,0 | 5 158,0 | 5 099,3 | 5 785,1 | 4 741,7 | Industrial sector | | | | | | | | | | | | | 1 Agriculture, forestry and fishery | 2 777,0 | 3 075,0 | 2 160,0 | 2 851,0 | 3 147,0 | 2 281,0 | 3 802,0 | 3 956,0 | 3 430,0 | 2 843,0 | 3 180,2 | 2 237,9 | 2 Industry and construction | 4 251,0 | 4 449,0 | 3 942,0 | 4 243,0 | 4 416,0 | 3 970,0 | 4 639,0 | 4 787,0 | 4 423,0 | 4 365,8 | 4 593,2 | 4 025,0 | 3 Services | 4 998,0 | 5 263,0 | 4 679,0 | 4 912,0 | 5 163,0 | 4 614,0 | 5 278,0 | 5 451,0 | 5 068,0 | 4 958,9 | 5 260,5 | 4 606,3 | URBAN | 5 179,0 | 5 468,0 | 4 806,0 | 5 139,0 | 5 444,0 | 4 743,0 | 5 723,0 | 6 070,0 | 5 304,0 | 5 254,1 | 5 617,2 | 4 817,2 | Economic sector | | | | | | | | | | | | | 1 State | 5 999,0 | 6 399,0 | 5 503,0 | 5 946,0 | 6 393,0 | 5 408,0 | 6 568,0 | 7 108,0 | 5 973,0 | 6 004,9 | 6 585,5 | 5 387,3 | 2 Non-state | 4 461,0 | 4 728,0 | 4 043,0 | 4 480,0 | 4 773,0 | 4 012,0 | 5 094,0 | 5 409,0 | 4 628,0 | 4 762,9 | 5 054,1 | 4 329,1 | 3 Foreign investment | 5 739,0 | 6 370,0 | 5 335,0 | 5 565,0 | 6 025,0 | 5 254,0 | 6 387,0 | 7 116,0 | 5 987,0 | 5 665,4 | 6 543,8 | 5 180,3 | Industrial sector | | | | | | | | | | | | | 1 Agriculture, forestry and fishery | 3 428,0 | 3 718,0 | 2 655,0 | 3 455,0 | 3 793,0 | 2 547,0 | 4 551,0 | 4 725,0 | 4 053,0 | 3 579,4 | 3 919,4 | 2 686,6 | 2 Industry and construction | 4 895,0 | 5 148,0 | 4 532,0 | 4 894,0 | 5 162,0 | 4 508,0 | 5 583,0 | 5 914,0 | 5 150,0 | 5 016,1 | 5 362,2 | 4 557,6 | 3 Services | 5 474,0 | 5 847,0 | 5 044,0 | 5 410,0 | 5 794,0 | 4 964,0 | 5 852,0 | 6 236,0 | 5 425,0 | 5 522,4 | 5 957,8 | 5 053,4 | RURAL | 3 835,0 | 3 999,0 | 3 578,0 | 3 807,0 | 3 930,0 | 3 621,0 | 4 190,0 | 4 233,0 | 4 125,0 | 3 837,2 | 4 040,3 | 3 528,5 | Economic sector | | | | | | | | | | | | | 1 State | 4 611,0 | 4 710,0 | 4 494,0 | 4 514,0 | 4 463,0 | 4 572,0 | 4 941,0 | 4 725,0 | 5 175,0 | 4 425,1 | 4 534,5 | 4 309,9 | 2 Non-state | 3 488,0 | 3 754,0 | 2 914,0 | 3 476,0 | 3 731,0 | 2 932,0 | 3 810,0 | 3 993,0 | 3 413,0 | 3 580,8 | 3 871,2 | 3 009,2 | 3 Foreign investment | 4 423,0 | 4 909,0 | 4 229,0 | 4 415,0 | 4 902,0 | 4 230,0 | 4 917,0 | 5 610,0 | 4 603,0 | 4 603,8 | 5 072,2 | 4 371,7 | Industrial sector | | | | | | | | | | | | | 1 Agriculture, forestry and fishery | 2 658,0 | 2 947,0 | 2 086,0 | 2 746,0 | 3 020,0 | 2 246,0 | 3 641,0 | 3 780,0 | 3 314,0 | 2 719,0 | 3 036,9 | 2 181,9 | 2 Industry and construction | 3 864,0 | 4 051,0 | 3 556,0 | 3 853,0 | 3 994,0 | 3 619,0 | 4 084,0 | 4 170,0 | 3 951,0 | 3 978,1 | 4 170,2 | 3 667,9 | 3 Services | 4 299,0 | 4 445,0 | 4 112,0 | 4 209,0 | 4 289,0 | 4 111,0 | 4 460,0 | 4 430,0 | 4 500,0 | 4 178,8 | 4 377,8 | 3 918,0 |

Note: It is not included those people aged 15 and over who were currently not residing in Vietnam (not regarded as the respondent for individual questionnaire)

Table 14

UNDEREMPLOYED POPULATION AGED 15 AND OVER BY SEX, URBAN/RURAL AND SOCIAL-ECONOMIC REGION

Unit: thousand persons

Social-economic region | Quarter 3, 2 | 014 | Quarter 4, 2014 | Quarter 1, 2015 | Quarter 2, 2015 | | Total | Male | Female | Total | Male | Female | Total | Male | Female | Total | Male | Female | ENTIRE COUNTRY | 1 161,9 | 631,6 | 530,3 | 1 185,4 | 625,7 | 559,6 | 1 217.3 | 658.4 | 558.9 | 897,8 | 466,4 | 431,4 | R1 Northern Midlands and | | | | | | | | | | | | | Mountains | 81,2 | 49,0 | 32,2 | 108,5 | 60,8 | 47,7 | 135,0 | 68.2 | 66.8 | 93,8 | 50,7 | 43,1 | R2 Red River Delta (*) | 203,8 | 103,0 | 100,9 | 220,7 | 108,9 | 111,8 | 195.8 | 94.4 | 101.3 | 139,9 | 64,6 | 75,3 | R3 North and South Central Coast | 249,6 | 119,1 | 130,5 | 318,7 | 134,8 | 183,9 | 367.8 | 221.2 | 146.6 | 249,8 | 133,8 | 116,0 | R4 Central Highland | 118,3 | 69,4 | 48,9 | 47,3 | 24,9 | 22,4 | 55.7 | 31,0 | 24.7 | 69,7 | 35,5 | 34,2 | R5 Southeast (*) | 52,4 | 29,3 | 23,1 | 47,7 | 32,9 | 14,9 | 48.8 | 27.1 | 21.6 | 27,7 | 18,5 | 9,2 | R6 Mekong River Delta | 407,8 | 240,3 | 167,5 | 399,0 | 238,4 | 160,6 | 362.6 | 192.8 | 169.8 | 271,7 | 142,5 | 129,1 | R7 Ha Noi city | 41,9 | 17,1 | 24,8 | 40,4 | 24,0 | 16,4 | 34.9 | 14.1 | 20.8 | 32,1 | 13,6 | 18,5 | R8 Ho Chi Minh city | 6,9 | 4,4 | 2,5 | 3,1 | 1,1 | 2,0 | 16.7 | 9.5 | 7.2 | 13,3 | 7,4 | 5,9 | URBAN | 167,2 | 93,7 | 73,5 | 185,6 | 106,7 | 78,9 | 185.8 | 94.7 | 91.1 | 133,2 | 71,7 | 61,5 | R1 Northern Midlands and | | | | | | | | | | | | | Mountains | 10,5 | 5,7 | 4,8 | 11,1 | 5,7 | 5,4 | 12.6 | 7.1 | 5.4 | 9,1 | 5,3 | 3,9 | R2 Red River Delta (*) | 29,5 | 15,8 | 13,6 | 32,5 | 18,8 | 13,7 | 19.6 | 9.7 | 9.9 | 17,1 | 7,9 | 9,2 | R3 North and South Central Coast | 36,0 | 19,1 | 17,0 | 61,7 | 32,4 | 29,3 | 54.6 | 26,0 | 28.6 | 36,6 | 20,3 | 16,3 | R4 Central Highland | 21,5 | 11,0 | 10,5 | 15,9 | 10,0 | 5,9 | 7.7 | 4.6 | 3.1 | 10,9 | 6,3 | 4,6 | R5 Southeast (*) | 9,8 | 5,0 | 4,8 | 8,5 | 6,7 | 1,9 | 10.4 | 5.5 | 4.9 | 5,0 | 3,4 | 1,6 | R6 Mekong River Delta | 49,9 | 31,3 | 18,6 | 52,1 | 31,3 | 20,8 | 45.1 | 25.9 | 19.2 | 31,2 | 19,5 | 11,8 | R7 Ha Noi city | 3,3 | 1,6 | 1,7 | 0,6 | 0,6 | 0,0 | 19.1 | 6.4 | 12.7 | 9,9 | 1,7 | 8,3 | R8 Ho Chi Minh city | 6,7 | 4,2 | 2,5 | 3,1 | 1,1 | 2,0 | 16.7 | 9.5 | 7.2 | 13,3 | 7,4 | 5,9 | RURAL | 994,7 | 537,9 | 456,8 | 999,8 | 519,0 | 480,8 | 1 031.5 | 563.7 | 467.8 | 764,6 | 394,7 | 369,9 | R1 Northern Midlands and | | | | | | | | | | | | | Mountains | 70,7 | 43,2 | 27,5 | 97,4 | 55,1 | 42,3 | 122.5 | 61.1 | 61.4 | 84,6 | 45,4 | 39,2 | R2 Red River Delta (*) | 174,3 | 87,1 | 87,2 | 188,2 | 90,1 | 98,2 | 176.2 | 84.7 | 91.4 | 122,8 | 56,7 | 66,1 | R3 North and South Central Coast | 213,5 | 100,0 | 113,5 | 256,9 | 102,3 | 154,6 | 313.2 | 195.2 | 118,0 | 213,2 | 113,5 | 99,7 | R4 Central Highland | 96,8 | 58,4 | 38,4 | 31,4 | 14,9 | 16,5 | 48,0 | 26.4 | 21.6 | 58,8 | 29,2 | 29,6 | R5 Southeast (*) | 42,6 | 24,3 | 18,3 | 39,2 | 26,2 | 13,0 | 38.4 | 21.6 | 16.7 | 22,7 | 15,0 | 7,6 | R6 Mekong River Delta | 357,9 | 209,0 | 148,9 | 346,9 | 207,1 | 139,8 | 317.5 | 166.9 | 150.6 | 240,4 | 123,1 | 117,4 | R7 Ha Noi city | 38,6 | 15,5 | 23,1 | 39,8 | 23,4 | 16,4 | 15.8 | 7.7 | 8,0 | 22,1 | 11,9 | 10,2 | R8 Ho Chi Minh city | 0,3 | 0,3 | 0,0 | 0,0 | 0,0 | 0,0 | 0,0 | 0,0 | 0,0 | 0,0 | 0,0 | 0,0 |

Note: (*) Red River Delta excluded Hanoi city and Southeast excluded Ho Chi Minh city
It is not included those people aged 15 and over who were currently not residing in Vietnam (not regarded as the respondent for individual questionnaire)

Table 15

UNDEREMPLOYED POPULATION AGED 15 AND OVER BY SEX, URBAN/RURAL, ECONOMIC SECTOR& INDUSTRIAL SECTOR

Unit: thousand persons

Economic/Industrial sector | Quarter 3, 2014 | Quarter 4, 2014 | Quarter 1, 2015 | Quarter 2, 2015 | | Total | Male | Female | Total | Male | Female | Total | Male | Female | Total | Male | Female | ENTIRE COUNTRY | 1 161,9 | 631,6 | 530,3 | 1 185,4 | 625,7 | 559,6 | 1 217,3 | 658,4 | 558,9 | 897,8 | 466,4 | 431,4 | Economic sector | | | | | | | | | | | | | 1 State | 13,0 | 8,2 | 4,8 | 21,9 | 16,7 | 5,2 | 20,6 | 10,0 | 10,6 | 8,5 | 4,7 | 3,8 | 2 Non-state | 1 147,7 | 622,3 | 525,4 | 1 152,5 | 603,4 | 549,1 | 1 195,0 | 648,1 | 546,9 | 888,0 | 461,0 | 427,0 | 3 Foreign investment | 0,0 | 0,0 | 0,0 | 0,7 | 0,1 | 0,6 | 1,4 | 0,0 | 1,4 | 1,4 | 0,8 | 0,6 | 4 Not stated | 1,2 | 1,1 | 0,1 | 10,2 | 5,5 | 4,7 | 0,4 | 0,4 | 0,0 | 0,0 | 0,0 | 0,0 | Industrial sector | | | | | | | | | | | | | 1 Agriculture, forestry and fishery | 868,9 | 438,9 | 430,0 | 920,8 | 459,9 | 460,9 | 922,0 | 496,8 | 425,2 | 703,5 | 352,1 | 351,4 | 2 Industry and construction | 128,3 | 94,9 | 33,3 | 105,8 | 65,3 | 40,5 | 86,1 | 49,0 | 37,1 | 49,3 | 29,4 | 19,8 | 3 Services | 164,8 | 97,8 | 67,0 | 158,8 | 100,6 | 58,2 | 209,3 | 112,6 | 96,7 | 145,0 | 84,9 | 60,2 | 4 Not stated | 0,0 | 0,0 | 0,0 | 0,0 | 0,0 | 0,0 | 0,0 | 0,0 | 0,0 | 0,0 | 0,0 | 0,0 | URBAN | 167,2 | 93,7 | 73,5 | 185,6 | 106,7 | 78,9 | 185,8 | 94,7 | 91,1 | 133,2 | 71,7 | 61,5 | Economic sector | | | | | | | | | | | | | 1 State | 7,6 | 4,3 | 3,3 | 5,7 | 4,3 | 1,4 | 6,4 | 3,2 | 3,2 | 6,5 | 4,0 | 2,5 | 2 Non-state | 159,5 | 89,4 | 70,1 | 178,5 | 102,1 | 76,4 | 179,0 | 91,6 | 87,4 | 126,7 | 67,7 | 59,0 | 3 Foreign investment | 0,0 | 0,0 | 0,0 | 0,7 | 0,1 | 0,6 | 0,5 | 0,0 | 0,5 | 0,0 | 0,0 | 0,0 | 4 Not stated | 0,1 | 0,0 | 0,1 | 0,7 | 0,2 | 0,5 | 0,0 | 0,0 | 0,0 | 0,0 | 0,0 | 0,0 | Industrial sector | | | | | | | | | | | | | 1 Agriculture, forestry and fishery | 72,7 | 36,3 | 36,5 | 88,3 | 46,2 | 42,2 | 60,3 | 32,3 | 28,0 | 50,1 | 27,7 | 22,4 | 2 Industry and construction | 33,0 | 23,2 | 9,8 | 31,2 | 21,4 | 9,8 | 27,4 | 14,1 | 13,3 | 13,0 | 7,2 | 5,9 | 3 Services | 61,4 | 34,2 | 27,2 | 66,1 | 39,1 | 26,9 | 98,1 | 48,3 | 49,8 | 70,1 | 36,9 | 33,2 | 4 Not stated | 0,0 | 0,0 | 0,0 | 0,0 | 0,0 | 0,0 | 0,0 | 0,0 | 0,0 | 0,0 | 0,0 | 0,0 | RURAL | 994,7 | 537,9 | 456,8 | 999,8 | 519,0 | 480,8 | 1 031,5 | 563,7 | 467,8 | 764,6 | 394,7 | 369,9 | Economic sector | | | | | | | | | | | | | 1 State | 5,4 | 3,9 | 1,5 | 16,2 | 12,3 | 3,9 | 14,2 | 6,8 | 7,4 | 2,0 | 0,7 | 1,3 | 2 Non-state | 988,3 | 532,9 | 455,3 | 974,1 | 501,4 | 472,7 | 1 016,0 | 556,5 | 459,5 | 761,2 | 393,2 | 368,0 | 3 Foreign investment | 0,0 | 0,0 | 0,0 | 0,0 | 0,0 | 0,0 | 1,0 | 0,0 | 1,0 | 1,4 | 0,8 | 0,6 | 4 Not stated | 1,1 | 1,1 | 0,0 | 9,6 | 5,3 | 4,2 | 0,4 | 0,4 | 0,0 | 0,0 | 0,0 | 0,0 | Industrial sector | | | | | | | | | | | | | 1 Agriculture, forestry and fishery | 796,1 | 402,6 | 393,5 | 832,5 | 413,7 | 418,8 | 861,7 | 464,5 | 397,2 | 653,4 | 324,5 | 329,0 | 2 Industry and construction | 95,3 | 71,7 | 23,6 | 74,6 | 43,9 | 30,7 | 58,7 | 34,9 | 23,8 | 36,2 | 22,3 | 14,0 | 3 Services | 103,4 | 63,6 | 39,8 | 92,8 | 61,5 | 31,3 | 111,1 | 64,3 | 46,8 | 75,0 | 48,0 | 27,0 | 4 Not stated | 0,0 | 0,0 | 0,0 | 0,0 | 0,0 | 0,0 | 0,0 | 0,0 | 0,0 | 0,0 | 0,0 | 0,0 |

Note: It is not included those people aged 15 and over who were currently not residing in Vietnam (not regarded as the respondent for individual questionnaire)

Table 16

UNEMPLOYED POPULATION AGED 15 AND OVER BY SEX, URBAN/RURAL AND SOCIAL-ECONOMIC REGION

Unit: thousand person

Social-economic region | Quarter 3, 2014 | Quarter 4, 201 | 4 | Quarter 1, 201 | 5 | Quarter 2, 201 | 5 | | Total | Male | Female | Total | Male | Female | Total | Male | Female | Total | Male | Female | ENTIRE COUNTRY | 1 048,8 | 578,5 | 470,3 | 986,3 | 507,1 | 479,2 | 1 216,9 | 645,1 | 571,8 | 1 177,2 | 645,6 | 531,6 | R1 Northern Midlands and Mountains | 57.2 | 33.9 | 23.3 | 48.8 | 29.2 | 19.6 | 78.1 | 43,0 | 35.1 | 75,0 | 46,6 | 28,5 | R2 Red River Delta | 318.4 | 195.7 | 122.8 | 301.6 | 173.7 | 127.9 | 280,0 | 165.8 | 114.3 | 233,4 | 143,3 | 90,1 | R3 North and South Central Coast | 243.4 | 131.9 | 111.5 | 220.4 | 105.7 | 114.7 | 304.6 | 165.6 | 139,0 | 292,1 | 174,2 | 117,9 | R4 Central Highland | 39.7 | 19.8 | 19.9 | 39.3 | 17.1 | 22.2 | 38.1 | 15.7 | 22.4 | 36,8 | 17,7 | 19,0 | R5 Southeast | 200.3 | 123.1 | 77.3 | 179.3 | 101.3 | 78,0 | 260.5 | 131.2 | 129.3 | 272,8 | 136,7 | 136,1 | R6 Mekong River Delta | 189.7 | 74.2 | 115.5 | 196.8 | 80,0 | 116.8 | 255.5 | 123.9 | 131.6 | 267,1 | 127,1 | 140,0 | URBAN | 490,4 | 299,2 | 191,2 | 479,6 | 272,9 | 206,6 | 553,3 | 293,7 | 259,6 | 537,4 | 295,7 | 241,7 | R1 Northern Midlands and Mountains | 26.8 | 15.5 | 11.3 | 25.2 | 15.1 | 10.1 | 31.9 | 17,0 | 14.9 | 32,7 | 17,6 | 15,2 | R2 Red River Delta | 151.4 | 102,0 | 49.4 | 143.8 | 93.7 | 50.1 | 110.7 | 61.6 | 49.1 | 109,6 | 62,2 | 47,4 | R3 North and South Central Coast | 98.6 | 50.3 | 48.2 | 90.1 | 41.8 | 48.4 | 126.1 | 73,0 | 53.1 | 128,3 | 73,8 | 54,5 | R4 Central Highland | 12.6 | 6.4 | 6.2 | 15.6 | 6.1 | 9.6 | 19.4 | 9.7 | 9.7 | 22,4 | 13,0 | 9,4 | R5 Southeast | 141.8 | 94.3 | 47.4 | 142.6 | 86.1 | 56.4 | 185.5 | 92.6 | 92.9 | 170,6 | 86,3 | 84,2 | R6 Mekong River Delta | 59.3 | 30.6 | 28.7 | 62.3 | 30.2 | 32.1 | 79.7 | 39.9 | 39.9 | 73,7 | 42,7 | 31,0 | RURAL | 558,4 | 279,2 | 279,1 | 506,8 | 234,2 | 272,6 | 663,6 | 351,4 | 312,2 | 639,8 | 349,9 | 289,9 | R1 Northern Midlands and Mountains | 30.4 | 18.4 | 12.1 | 23.6 | 14.1 | 9.6 | 46.2 | 26,0 | 20.2 | 42,3 | 29,0 | 13,3 | R2 Red River Delta | 167.1 | 93.7 | 73.4 | 157.9 | 80.1 | 77.8 | 169.4 | 104.2 | 65.2 | 123,8 | 81,1 | 42,7 | R3 North and South Central Coast | 144.8 | 81.6 | 63.3 | 130.3 | 64,0 | 66.3 | 178.5 | 92.6 | 85.9 | 163,7 | 100,3 | 63,4 | R4 Central Highland | 27.1 | 13.3 | 13.7 | 23.7 | 11.1 | 12.7 | 18.8 | 6,0 | 12.7 | 14,3 | 4,7 | 9,6 | R5 Southeast | 58.6 | 28.7 | 29.8 | 36.8 | 15.3 | 21.5 | 75,0 | 38.7 | 36.3 | 102,3 | 50,4 | 51,9 | R6 Mekong River Delta | 130.4 | 43.5 | 86.8 | 134.5 | 49.8 | 84.7 | 175.8 | 84,0 | 91.8 | 193,4 | 84,4 | 109,0 |

Note: It is not included those people aged 15 and over who were currently not residing in Vietnam (not regarded as the respondent for individual questionnaire)

Table 17

UNEMPLOYED POPULATION AGED 15 AND OVER BY SEX, URBAN/RURAL AND PROFESSIONAL/TECHNICAL QUALIFICATION
Unit: thousand persons Professional/Technical qualification | Quarter 3, 2014 | Quarter 4, 201 | 4 | Quarter 1, 201 | 5 | Quarter 2, 201 | 5 | | Total | Male | Female | Total | Male | Female | Total | Male | Female | Total | Male | Female | ENTIRY COUNTRY | 1 048,80 | 578,5 | 470,3 | 986,3 | 507,1 | 479,2 | 1 216,90 | 645,1 | 571,8 | 1 177,2 | 645,6 | 531,6 | 1 No qualification | 615,4 | 344,2 | 271,1 | 608,2 | 328,3 | 279,8 | 771,5 | 434,3 | 337,1 | 708,8 | 418,8 | 289,9 | 2 Vocational training from 3 | | | | | | | | | | | | | months and longer | 79,8 | 69,1 | 10,7 | 61 | 50,9 | 10,1 | 83,3 | 64,3 | 19,1 | 80,7 | 61,1 | 19,6 | 3 Professional secondary school | 88,5 | 34,4 | 54,1 | 73,4 | 27,1 | 46,3 | 77,1 | 27,7 | 49,4 | 92,6 | 39,0 | 53,7 | 4 Professional college | 90,1 | 33,8 | 56,3 | 74,7 | 22,7 | 52,1 | 101 | 33 | 68 | 93,5 | 36,8 | 56,7 | 5 University and above | 174,5 | 96,8 | 77,7 | 165,6 | 75,3 | 90,2 | 181,4 | 83,4 | 98 | 201,2 | 89,7 | 111,5 | 6 Not stated | 0,5 | 0,1 | 0,4 | 3,4 | 2,8 | 0,6 | 2,6 | 2,4 | 0,2 | 0,4 | 0,3 | 0,1 | URBAN | 490,4 | 299,2 | 191,2 | 479,6 | 272,9 | 206,6 | 553,3 | 293,7 | 259,6 | 537,4 | 295,7 | 241,7 | 1 No qualification | 267,2 | 169 | 98,2 | 274,7 | 167 | 107,7 | 308,5 | 178,4 | 130,1 | 262,3 | 162,8 | 99,4 | 2 Vocational training from 3 | | | | | | | | | | | | | months and longer | 43,9 | 36,7 | 7,2 | 35,7 | 29,1 | 6,6 | 40,1 | 28,9 | 11,2 | 46,4 | 33,9 | 12,5 | 3 Professional secondary school | 38,2 | 17,5 | 20,7 | 35,2 | 16,5 | 18,7 | 41,6 | 17 | 24,7 | 48,0 | 21,2 | 26,8 | 4 Professional college | 33,4 | 15,1 | 18,3 | 30,1 | 11,6 | 18,5 | 50,6 | 14,8 | 35,7 | 53,3 | 18,8 | 34,5 | 5 University and above | 107,3 | 60,8 | 46,4 | 101,5 | 46,7 | 54,8 | 111,6 | 54 | 57,6 | 127,0 | 58,7 | 68,4 | 6 Not stated | 0,3 | 0,1 | 0,2 | 2,5 | 2,1 | 0,4 | 0,9 | 0,7 | 0,2 | 0,4 | 0,3 | 0,1 | RURAL | 558,4 | 279,2 | 279,1 | 506,8 | 234,2 | 272,6 | 663,6 | 351,4 | 312,2 | 639,8 | 349,9 | 289,9 | 1 No qualification | 348,1 | 175,2 | 172,9 | 333,5 | 161,3 | 172,1 | 463 | 256 | 207 | 446,5 | 256,0 | 190,5 | 2 Vocational training from 3 | | | | | | | | | | | | | months and longer | 35,8 | 32,3 | 3,5 | 25,4 | 21,9 | 3,5 | 43,2 | 35,4 | 7,8 | 34,3 | 27,1 | 7,1 | 3 Professional secondary school | 50,3 | 16,9 | 33,3 | 38,2 | 10,6 | 27,7 | 35,4 | 10,7 | 24,7 | 44,7 | 17,8 | 26,9 | 4 Professional college | 56,7 | 18,8 | 37,9 | 44,7 | 11,1 | 33,6 | 50,4 | 18,2 | 32,3 | 40,2 | 18,0 | 22,2 | 5 University and above | 67,2 | 35,9 | 31,3 | 64,1 | 28,7 | 35,4 | 69,8 | 29,4 | 40,4 | 74,1 | 31,0 | 43,1 | 6 Not stated | 0,2 | 0 | 0,2 | 0,9 | 0,7 | 0,2 | 1,7 | 1,7 | 0 | 0,0 | 0,0 | 0,0 |

Note: It is not included those people aged 15 and over who were currently not residing in Vietnam (not regarded as the respondent for individual questionnaire)

Table 18

UNEMPLOYED POPULATION AGED 15 AND OVER BY SEX, URBAN/RURAL AND AGE GROUP

Unit: Thousand persons Age group | Quarter 3, 2014 | Quarter 4, 201 | 4 | Quarter 1, 201 | 5 | Quarter 2, 201 | 5 | | Total | Male | Female | Total | Male | Female | Total | Male | Female | Total | Male | Female | ENTIRE COUNTRY | 1 048,80 | 578,5 | 470,3 | 986,3 | 507,1 | 479,2 | 1 216,90 | 645,1 | 571,8 | 1177,2 | 645,6 | 531,6 | 15 - 19 | 170,8 | 96,3 | 74,5 | 127,7 | 65,8 | 61,9 | 141,8 | 84,4 | 57,3 | 166,0 | 103,9 | 62,1 | 20 - 24 | 373 | 179,4 | 193,6 | 320,7 | 130 | 190,7 | 444,4 | 216,1 | 228,4 | 426,6 | 210,9 | 215,6 | 25 - 29 | 173,6 | 89,8 | 83,8 | 157,1 | 70,2 | 86,9 | 163,3 | 89,2 | 74,1 | 206,5 | 113,8 | 92,7 | 30 - 34 | 68,2 | 31,6 | 36,6 | 68,9 | 26,1 | 42,8 | 125,4 | 67,4 | 58 | 105,5 | 55,7 | 49,8 | 35 - 39 | 52,4 | 24,5 | 27,9 | 54,9 | 24,7 | 30,1 | 68,4 | 36,1 | 32,3 | 72,2 | 43,1 | 29,1 | 40 - 44 | 42,2 | 23,6 | 18,6 | 49,7 | 34,3 | 15,4 | 63,8 | 33,9 | 29,9 | 65,4 | 33,5 | 31,9 | 45 - 49 | 23,9 | 14,2 | 9,7 | 36,3 | 17 | 19,3 | 67,9 | 40,7 | 27,2 | 53,8 | 33,9 | 19,9 | 50 - 54 | 53,7 | 34,8 | 18,8 | 82,6 | 56,7 | 25,9 | 61 | 31,1 | 29,9 | 33,1 | 21,0 | 12,0 | 55 - 59 | 81,3 | 78,4 | 2,9 | 81,3 | 77,4 | 3,9 | 43,2 | 23,7 | 19,4 | 24,4 | 15,5 | 8,9 | 60 - 64 | 6,7 | 5,7 | 1 | 3,1 | 3 | 0,1 | 18,4 | 10,8 | 7,7 | 14,6 | 7,4 | 7,1 | 65 and over | 2,9 | 0 | 2,9 | 4,1 | 1,9 | 2,1 | 19,3 | 11,7 | 7,6 | 9,2 | 6,8 | 2,3 | URBAN | 490,4 | 299,2 | 191,2 | 479,6 | 272,9 | 206,6 | 553,3 | 293,7 | 259,6 | 537,4 | 295,7 | 241,7 | 15 - 19 | 64,7 | 42 | 22,7 | 56,3 | 34,7 | 21,6 | 56,2 | 33,5 | 22,6 | 65,5 | 40,3 | 25,2 | 20 - 24 | 152 | 75,9 | 76,1 | 138,9 | 61,5 | 77,4 | 207,3 | 93,2 | 114,1 | 201,8 | 97,3 | 104,5 | 25 - 29 | 81,4 | 45,5 | 35,9 | 83,6 | 43 | 40,6 | 83 | 46,5 | 36,5 | 97,0 | 53,6 | 43,3 | 30 - 34 | 31,3 | 16 | 15,3 | 37,2 | 14,8 | 22,4 | 60,1 | 31,9 | 28,2 | 51,4 | 26,4 | 25,0 | 35 - 39 | 25 | 13,2 | 11,8 | 24,9 | 12 | 12,9 | 37 | 21,1 | 15,9 | 29,4 | 17,2 | 12,1 | 40 - 44 | 18,6 | 13,1 | 5,5 | 15,9 | 9,1 | 6,8 | 30,6 | 16 | 14,6 | 35,9 | 19,7 | 16,2 | 45 - 49 | 18,2 | 11,9 | 6,2 | 22,9 | 12,4 | 10,5 | 27,3 | 18,3 | 9 | 19,8 | 14,7 | 5,1 | 50 - 54 | 37,6 | 23,5 | 14,1 | 48,6 | 36,1 | 12,5 | 23,2 | 17,1 | 6,1 | 16,3 | 12,1 | 4,2 | 55 - 59 | 59,3 | 57,3 | 1,9 | 50,4 | 48,6 | 1,8 | 18,9 | 9,6 | 9,4 | 13,0 | 8,7 | 4,3 | 60 - 64 | 1,8 | 0,8 | 1 | 0,8 | 0,6 | 0,1 | 5,3 | 3,9 | 1,3 | 5,4 | 3,7 | 1,7 | 65 and over | 0,7 | 0 | 0,7 | 0 | 0 | 0 | 4,6 | 2,7 | 1,9 | 2,0 | 2,0 | 0,0 | RURAL | 558,4 | 279,2 | 279,1 | 506,8 | 234,2 | 272,6 | 663.6 | 351.4 | 312.2 | 639,8 | 349,9 | 289,9 | 15 - 19 | 106,1 | 54,3 | 51,8 | 71,4 | 31,1 | 40,3 | 85.6 | 50.9 | 34.7 | 100,5 | 63,6 | 36,9 | 20 - 24 | 221,1 | 103,6 | 117,5 | 181,8 | 68,6 | 113,3 | 237.2 | 122.9 | 114.3 | 224,7 | 113,6 | 111,1 | 25 - 29 | 92,3 | 44,4 | 47,9 | 73,5 | 27,2 | 46,3 | 80.3 | 42.7 | 37.6 | 109,5 | 60,1 | 49,4 | 30 - 34 | 37 | 15,7 | 21,3 | 31,7 | 11,3 | 20,4 | 65.2 | 35.5 | 29.7 | 54,1 | 29,3 | 24,8 | 35 - 39 | 27,4 | 11,3 | 16,1 | 29,9 | 12,7 | 17,2 | 31.4 | 15 | 16.4 | 42,9 | 25,9 | 16,9 | 40 - 44 | 23,6 | 10,5 | 13,2 | 33,7 | 25,1 | 8,6 | 33.2 | 17.9 | 15.3 | 29,5 | 13,8 | 15,7 | 45 - 49 | 5,7 | 2,2 | 3,5 | 13,4 | 4,6 | 8,8 | 40.6 | 22.4 | 18.2 | 34,1 | 19,2 | 14,9 | 50 - 54 | 16 | 11,3 | 4,7 | 34 | 20,5 | 13,5 | 37.9 | 14.1 | 23.8 | 16,8 | 8,9 | 7,9 | 55 - 59 | 22 | 21,1 | 0,9 | 30,9 | 28,8 | 2,1 | 24.2 | 14.2 | 10.1 | 11,4 | 6,8 | 4,5 | 60 - 64 | 4,9 | 4,9 | 0 | 2,4 | 2,4 | 0 | 13.2 | 6.8 | 6.3 | 9,2 | 3,7 | 5,5 | 65 and over | 2,2 | 0 | 2,2 | 4,1 | 1,9 | 2,1 | 14.7 | 9 | 5.7 | 7,2 | 4,8 | 2,3 |

Note: It is not included those people aged 15 and over who were currently not residing in Vietnam (not regarded as the respondent for individual questionnaire)

Table 19

ECONOMICALLY ACTIVE STATUS OF YOUTH (15-24 YEARS OLD) BY SEX AND URBAN/RURAL

Characteristic | Quarter 3, 2014 | Quarter 4, 2014 | Quarter 1, 2015 | Quarter 2, 2015 | | Total | Male | Female | Total | Male | Female | Total | Male | Female | Total | Male | Female | 1. Youth population ('000 persons) | 12 942,8 | 6 802,9 | 6 139,9 | 12 511,5 | 6 498,7 | 6 012,9 | 14 693,3 | 7 473,5 | 7 219,8 | 15 531,0 | 7 878,4 | 7 652,5 | Urban | 4 015,9 | 2 052,8 | 1 963,1 | 3 940,4 | 2 001,3 | 1 939,2 | 4 858,5 | 2 328,1 | 2 530,4 | 4 890,0 | 2 361,7 | 2 528,4 | Rural | 8 926,9 | 4 750,1 | 4 176,8 | 8 571,1 | 4 497,4 | 4 073,7 | 9 834,8 | 5 145,4 | 4 689,4 | 10 640,9 | 5 516,7 | 5 124,2 | 2. Number of employed youth ('000 | | | | | | | | | | | | | persons) | 7 200,2 | 3 977,4 | 3 222,9 | 6 823,0 | 3 747,7 | 3 075,3 | 8 288,7 | 4 511,1 | 3 777,5 | 8 284,4 | 4 501,7 | 3 782,7 | Urban | 1 705,0 | 896,1 | 808,9 | 1 676,3 | 888,0 | 788,3 | 2 141,6 | 1 044,9 | 1 096,6 | 1 990,7 | 1 012,2 | 978,5 | Rural | 5 495,3 | 3 081,3 | 2 414,0 | 5 146,7 | 2 859,7 | 2 287,0 | 6 147,1 | 3 466,2 | 2 680,9 | 6 293,7 | 3 489,6 | 2 804,1 | 3. Number of unemployed youth | | | | | | | | | | | | | ('000 persons) | 543,8 | 275,7 | 268,1 | 448,4 | 195,8 | 252,6 | 586,2 | 300,5 | 285,7 | 592,6 | 314,8 | 277,8 | Urban | 216,6 | 117,9 | 98,7 | 195,2 | 96,2 | 99,0 | 263,4 | 126,7 | 136,7 | 267,3 | 137,5 | 129,8 | Rural | 327,2 | 157,8 | 169,3 | 253,2 | 99,7 | 153,6 | 322,8 | 173,7 | 149,0 | 325,3 | 177,3 | 148,0 | 4. Youth's labour force participation | | | | | | | | | | | | | rate (%) | 60,3 | 63,2 | 57,1 | 58,1 | 60,7 | 55,4 | 60,5 | 64,5 | 56,3 | 57,2 | 61,1 | 53,1 | Urban | 48,1 | 49,7 | 46,4 | 47,5 | 49,2 | 45,8 | 49,5 | 50,4 | 48,8 | 46,2 | 48,7 | 43,8 | Rural | 65,8 | 69,0 | 62,1 | 63,0 | 65,8 | 59,9 | 65,9 | 70,8 | 60,4 | 62,2 | 66,5 | 57,6 | 5. Youth's unemployment rate (%) | 7,0 | 6,5 | 7,7 | 6,2 | 5,0 | 7,6 | 6,6 | 6,2 | 7,0 | 6,68 | 6,54 | 6,84 | Urban | 11,3 | 11,6 | 10,9 | 10,4 | 9,8 | 11,2 | 11,0 | 10,8 | 11,1 | 11,84 | 12,0 | 11,7 | Rural | 5,6 | 4,9 | 6,6 | 4,7 | 3,4 | 6,3 | 5,0 | 4,8 | 5,3 | 4,91 | 4,8 | 5,0 |

Note: It is not included those people aged 15 and over who were currently not residing in Vietnam (not regarded as the respondent for individual questionnaire)

Similar Documents

Free Essay

Cta Road

...Detailed Fare Information All Aboard! This map gives detailed information about Chicago Transit Authority bus and elevated/subway train service, and shows Pace suburban bus and Metra commuter train routes in the CTA service area. It is updated twice a year, and available at CTA rail stations, Metra downtown terminals, visitor centers, airports, or by calling the RTA Travel Information Center number below. Regional Service Overview CTA runs buses (routes 1 to 206) and elevated/subway trains serving the city and 40 nearby suburbs. Most routes run daily through late evening, every 10 to 20 minutes. Sunday schedules apply on New Year’s Day, Memorial Day, July 4th, Labor Day, Thanksgiving and Christmas. PACE runs buses throughout the suburbs (routes 208 and above), and many routes connect with CTA. Major routes run daily through mid-evening, every 30 to 60 minutes. You can use your CTA Transit Card, Chicago Card®, Chicago Card Plus®, or certain CTA Passes to ride. METRA runs 11 suburban commuter train lines from several downtown Chicago terminals. Rush hour service is frequent; otherwise every 1 to 2 hours. Most routes run daily. Fares are separate, but a Link-Up Pass is available to Metra monthly ticketholders for use on CTA (weekdays 6am–9:30am and 3:30pm–7pm) or Pace (anytime). SOUTH SHORE LINE runs commuter trains between downtown Chicago (Millennium and Van Buren stations) and South Bend Airport in Indiana. Daily service. Fares are separate. For...

Words: 31239 - Pages: 125

Free Essay

Boston Subway System

...Boston Subway System “One of the biggest plans unveiled by Governor Patrick is a $1.3 billion project by the Massachusetts Bay Transportation Authority to replace and increase the capacity of the 44-year-old Red Line subway cars and the 32-year-old Orange Line cars.”It was reported by the Associated Press in the news “Patrick announces major transportation projects” on the website “http://www.boston.com” on October 22, 2013. We take trains frequently in our daily life in Boston. It’s good news for the people living here. The subway system is an important part of Boston transportation, which has a long history of over one hundred year. But it is too antiqued for the contemporary people, so there are many suggestions and projects to improve the subway system. Compared with the Wuhan subway system, I think some suggestions and projects are impractical for the improvement of Boston subway system, therefore I want to oppose them. Most of the people in Boston thought that the subway system lacks late-night or overnight service. People want to extend the service hours.(Annear) But from my point of view, the Boston subway system’s service hours should be reduced. First, I often ride the orange line at night when I go to the school gym to do some exercise after supper and stay very late. So I can know that very few people ride trains after 10:00 p.m; there are usually less than ten people inside every subway car. It is obvious that the extension of service hours is a waste...

Words: 794 - Pages: 4

Free Essay

Blah

...The first piece of evidence that shows reasonable doubt is the uniqueness of the knife. In the play, the storekeeper identified the knife and said it was the only one of its kind he had in stock. Also, one juror stated, “it’s a very strange knife. I’ve never seen one like it before in my life. Neither had the storekeeper who sold it to him.” (Pg. 23-24). Later, juror 8 reaches into his pocket and takes out a knife and states, “Look at it! It’s the same knife!”…”I hot it in a little junk shop around the corner from the boy’s house. It costs two dollars.” (Pg. 24) After discussing the uniqueness of the knife, the jurors decided there was reasonable doubt when the old man’s testimony came into the question. In this play, the second piece of evidence that shows reasonable doubt is the old man’s testimony. An old man lived right underneath the room where the murder took place. He heard loud noises at 12:10 from upstairs. It sounded like a fight to him and he heard the boy say, “I’m gonna kill you.” He heard a body fall a second later, and he saw the boy run out of the apartment. The old man called the police and they found a knife in the father’s chest. The old man states that he took 15 seconds to get out of bed and see the boy run down the stairs. However, juror 8 proves that the old man’s timing was off because it is impossible for an old man, who carries two canes, to walk and see the boy run out of the building in 15 seconds. Also, the jurors prove that the old...

Words: 520 - Pages: 3

Free Essay

Student

...Demand 1. On 21 November 2009, the Thai Government approved £3.5 billion for railway infrastructure development (2010-2015). 2. In addition to the main railway network development, projects are on-going to expand existing mass rapid transit lines and to build new lines for Bangkok. 3. Over the next 20 years, Thailand also plans to invest £14.5 billion in high speed trains. New projects • Red Line (Bangsue-Rangsit) - The project is an overhead-electrified commuter train with a total length of 26.3 km of which 7.1 km are at grade and 19.2 km are elevated and 8 stations. • Airport Rail Link Expansion – The project is to extend the route from Phyathai Station to Don Mueng Airport to link with Suvarnabhumi Airport and to expand from Suvarnabhumi Airport to Pattaya City. • Purple Line (Tao Poon-Ratburana) - This project is an extension of the Purple Line between Bangsue and Bangyai (under construction). It comprises approximately 20 km of 13.2 km underground and 6.8 km elevated metro rail, 11 underground stations and 5 elevated stations. • Green Line Extensions (Baring-Samutprakarn, Mo Chit-Sapan Mai) - This extension to the existing Green Line (Sukhumvit Line) comprising approximately 25 km of elevated structure, 21 stations, depot and park & ride. • Blue Line Extension - This extension to the existing underground system comprise 22 km elevated and 5 km underground metro system with 17 stations, including 4 underground stations. • Orange Line -This is a new line...

Words: 796 - Pages: 4

Premium Essay

Ggg123

...[pic] PROJECT REPORT B.Sc. Physics (H) 1st Semester Foundation Course Group No.07 [pic] PROJECT TITLE "Management of Delhi Metro" ACKNOWLEDGEMENT We hereby express our deep sense of gratitude to Dr. K.C. Verma, Teacher-in-Charge, Commerce for his continuous guidance and support in successful completion of this Project Report entitled “Management of Delhi Metro”. We are also extremely thankful to Ms. Bhamini Garg, Assistant Professor, Commerce for her generous guidance, help and useful suggestions in successful completion of our Project Report CERTIFICATE This is to be certified that the Project Report entitled “Management of Delhi Metro” is a bonafide work of all the team members belonging to Group no. 7. __________ _____________ Bhamini Garg Dr. K.C. Verma Assistant Professor Teacher-in-Charge, Commerce TEAM MEMBERS |S.No. |Name |Roll No. | |1 |MANJEET SINGH |49 | |2 |JUGAL TIWARI |55 | |3 |SHIVAM SHARMA |56 | |4 |VAIBHAV GUPTA |12 | |5 ...

Words: 2421 - Pages: 10

Free Essay

Kraft

...companies own over one hundred and fifty consumable items. Nestle owns ten to fifteen other companies that make cosmetics and perfume. Not all consumers know what these two large companies produce and consumers need to take ownership of the companies they are putting money into and it is just as important as what they are buying. Being aware of what products these companies are putting into and taking out of our world should be important to the consumers. Both companies were started very differently and have backgrounds that have made the companies what they are today. They have introduced products that consumers use in the beginning as well as in the present times. Kraft Foods began as a small wholesale cheese in which James L Kraft started in 1903. James L. Kraft was born December 11th 1874 to George and Minerva Kraft. Driving a horse name Paddy, he made sure that Chicago area grocers were supplied with the cheese he purchased at wholesale pricing. Business started growing and he acquired his own dairy facilities and solved the spoilage problems by shredding and heating the cheese enough to kill mold and bacteria, thus stopping the aging process of the cheese. This later became known as “processed cheese” Over the next 55 years they introduced six different products. He remained CEO and founder until his death in 1953. Unlike Kraft Foods, Nestle was created when a German pharmacist launched his “Farine Lactée” which was a combination of cow’s milk, wheat flour and sugar which...

Words: 1105 - Pages: 5

Premium Essay

Bus599Ca1

...SAMANTHA LYMAN TRIDENT INTERNATIONAL UNIVERSITY MGT599 – STRATEGIC MANAGEMENT CASE ASSIGNMENT 1 ABSTRACT Kraft Foods Inc. is know to be the largest confectionery, food and drinks corporation in the United States. 155 countries around the world market its brands. Their European headquarters is settles outside Zurich in Switzerland. It is an independent public company and has net incomes of around 2-5 billions a year. This is also due to important transactions between Kraft Foods and Philip Morris and Nestle as well as others of coarse. Kraft Foods, as it is known today, was formed in 1923 by Thomas H. McInnerney but the whole concept first emerged in 1903 when James Kraft began a door-to-door cheese business. His four brothers then joined him to create the first Kraft firm known as J.L. Kraft and Bros. Company in 1909. 40 brands belonging to Kraft foods are over 100 years old and so this shows how strong the firm is and how it has managed to create confidence and appreciation between them and their consumers. Below is an evaluation of Kraft Foods mission and vision statements, as well as their goals. Mission Statement Kraft Food mission statement “to be North America’s best food and beverage company” (Welcome, 2012). This is a brief statement that holds a great deal of information. It seems from the mission statement that the ultimate goal for the company is to be the absolute best in quality, delivery, taste, and availability of the product and as an employer...

Words: 1025 - Pages: 5

Free Essay

Lockheed Case Study

...Introduction/Motivation 3 Data Analysis and Results 4 Conclusion 8 Appendix 9 References 10 Executive Summary Lockheed’s L-1011 Tri Star Airbus program was a long-term, capital-intensive endeavor projected to strongly position Lockheed to compete in the commercial aircraft market. The initial preproduction investments for the program were made in 1967, with continued investments occurring during the subsequent four years, until the program commenced production in 1972. However, during the intervening period, initial program assumptions began to unravel, and Lockheed, which was also a major contractor to the United States Department of Defense, was before Congress, requesting a $250 million bank loan guarantee to complete the L-1011 program. By 1971, over 80% of Lockheed’s market capitalization had already been lost. During the ensuing debate that followed, it appeared that Lockheed had not taken due diligence in the planning for the project, and that initial unit sales and revenue estimates would fall woefully short of being what Lockheed’s CEO termed as a “commercially viable endeavor”. As the continued difficulties of the program unfolded before the public and the investment community, it became clear that no combination of increased revenues, reduced production costs, or increased market share yielded a realistic scenario by which the L-1011 could create shareholder value. As this case was analyzed, it became apparent that achievement of an accounting break-even...

Words: 2458 - Pages: 10

Free Essay

A380 Sales

...Actual Performances vs Forecast / Benchmark 787- Jumbo The closer approximation to the A380, from either the technical side as well as the type of market served, is the Boeing 747 “Jumbo”. In terms of size the two giants are comparable. Both over 70 meters in length two decks and targeting long distance routes (for both the maximum distance above 8000 nautical miles). Given those similitudes it will be interesting to compare the performances in sales and market penetration. However one caveat would be taking into consideration the different market characteristics of the prosperous markets of 60s and 70s compared to the actual stagnant scenario. Sales We compared the sales of the two models (specifically matching the orders received for the first 11 years). It is clear that in both cases after the initial saturation of the premium market segment, sales are slowing down. However in the subsequent years, new clients and new product configurations increased boosted sales again. The difference comparing the two volumes is pretty considerable (357 of 747 units vs 262 of A380 units). Figure 1 Sales first 11 years comparison Another approach that the industry is taking in consideration for the market success of an aircraft is the sales benchmarked to the first delivery. This different indicator compares the sales performance aligning data of the two airplanes considering as 0 the year of first flight. This info is fundamental because airline companies are often skeptical of...

Words: 1850 - Pages: 8

Premium Essay

The Power in Words

...Jordan Jones Cady 1A ENGL 101 CC 8 March 2013 The Power in Words Speeches can be one of the most difficult things to write and present. Anyone can give a speech about anything, but not all of them are going to be amazing. Actually, speeches are one of those things that not everyone is going to feel the same about. One person could think that the speech was great and it changed their life, while another person could absolutely hate that same speech. Most speeches are given to persuade your audience to believe whatever it is that you believe. The speaker wants them to agree with what they are saying. The President of the United States has a huge job when it comes to public speaking. They are addressing a whole country that is looking to them for their opinion, advice, or guidance. Even though not every citizen in the country is going to agree with what the president is saying, it is usually over an important issue, so the president is completely aware that everyone will be listening. On January 28, 1986, while Ronald Reagan was serving as president, the country experienced a huge tragedy when the Challenger space shuttle exploded on live television. It wasn’t really an event that words could describe, but as the president, Reagan had to try. Through the use of ethos and pathos, President Reagan’s speech attempts to persuade America and the viewers of the Challenger explosion that despite the tragedy, the United States and its space program will continue to move forward...

Words: 978 - Pages: 4

Free Essay

Challenger Innovation Exercise

...Challenger Video - Lessons Learned As seen in the video there were a lot of issues with how the o-ring issue was handled. Roger clearly knew there was a possible issue with the o-ring, but was bad about handling this with regards to resolving the issue. He was very vocal about it, but this was to the point where it more aggressive than influential among his colleagues to help with resolving the issue at hand. This was not beneficial in building support behind his concerns with the o-rings so that the issues with them would be addressed before the Challenger’s launch. He had multiple opportunities to address this and failed to do so as a result of his brash attitude to those with whom he brought it to their attention including with one of the V.P.’s, Joe Kilminster, in his company. Joe was willing to listen and investigate Roger’s concern, but when Roger became abrasive with how the issue had been neglected by the company this eventually led to losing any type of support from Joe. Roger also had another opportunity to continue to push the o-ring issue to further attention of this issue meeting the evening before the launch, but failed to get his point across again and this lead to the discussion to proceed with the launch as scheduled. This example from the video showed how without proper support and guidance of employees within the workplace that some problems will eventually get ahead of some companies. Most management decisions don’t always take into consideration the information...

Words: 412 - Pages: 2

Free Essay

Camping vs Hotels

...release. Then Walt Disney himself arrived, stepping out of a stretch limousine and gallantly reaching a hand into the car to help his wife, Lillian, onto the pavement. Disney was by then immensely famous, appearing on his own television show every Sunday night. He had carefully engineered his entrance: when his car pulled up, the Disney characters mobbed it, and soon afterward clouds of balloons were released into the air. Inside the packed twelve-hundred-seat theatre, the members of the audience responded to the movie with enthusiasm: they gave it a five-minute standing ovation. In the midst of the celebrating crowd, it would have been easy to overlook the sixty-five-year-old woman sitting there, weeping. Anyone who recognized her as P. L. Travers, the author of the Mary Poppins books, could have been forgiven for assuming that her tears were the product...

Words: 5628 - Pages: 23

Free Essay

3m Business Case

...Harvard Business School 9-395-016 January 3, 1995 3M: Profile of an Innovating Company As a perennial winner in Fortune magazine’s annual poll of American CEOs to determine “The Ten Most Admired Corporations,” 3M was almost universally recognized as one of the world’s most consistently innovative companies. Indeed, Fortune described it as “a kind of corporate petri dish that fosters a culture of innovation.” In an era when large companies were struggling to reignite employees’ entrepreneurial spark, 3M was the benchmarking standard. Yet, in November 1991, as “Desi” DeSimone assumed the job of CEO in the midst of a worldwide recession, he was more focused on 3M’s uncertain future than on its glorious past. Beyond the stagnating sales and declining margins he knew would be reflected in his first annual report (see Exhibit 1), DeSimone was aware that the company faced some longer term challenges. With a portfolio of over 100 core technologies being leveraged into some 60,000 products which it sold in 200 countries, some observers were beginning to ask whether this $14 billion giant with over 88,000 employees could continue its extraordinary innovation-powered growth and expansion. It was a question that the new CEO knew he would have to confront honestly. A lot more than the continued admiration of his Fortune 500 peers depended on it. The Beginning: Foundations of 3M’s Values In 1902, on the basis of a report that deposits of corundum, an abrasive mineral, had been found...

Words: 9759 - Pages: 40

Free Essay

Scientology

...Scientology The second half of the 20th century was the time when new, alternative religious movements sprang to life and started their triumphant parade across the world, attracting millions of people to their allegedly innovative concepts of faith and salvation. This religious expansion, unpredicted and unexpected in the middle of the century, the diversity of schools and teachings, as well as their significant impact on the lives of many people are a phenomenon that demonstrates a high potential of such theories and practices. Their evolution was facilitated by spiritual requirements of people who were seekers of new ideas and formats of faith. These people distrusted traditional religions and were often disillusioned and disappointed by orthodox tenets and concepts; they wanted to find more updated and socially adapted religious teachings. Scientology is a dramatic example of a new religion of this kind, and its analysis provides an insight in the complex, controversial, and sometimes perplexing domain of today’s religious and spiritual practices. Officially recognized as religion in the USA, Scientology was denied this status in European countries, for example, the UK, Germany, France, and others. Investigating an impact of this popular religious practice on individuals, groups, and communities is significant for understanding the effects, possible implications, and hazards it has in store for society. The Origin of Scientology and its Founder Scientology, a religious...

Words: 1894 - Pages: 8

Free Essay

The Analysis of the Story: from W.S.

...The analysis of the story: From W.S. by L.P. Hartley Leslie Poles Hartley (1895—1972), the son of a solicitor, was educated at Harrow and Balliol College, Oxford and for more than twenty years from 1932 was a fiction reviewer for such periodicals as the Spectator, Sketch, Observer and Time and Tide. He published his first book, a collection of short stories entitled "Night Fears" in 1924. His novel "Eustace and Hilda" (1947) was recognized immediately as a major contribution to English fiction; "The Go-Between" (1953) and "The Hireling" (1957) were later made into internationally successful films. In 1967 he published "The Novelist's Responsibility", a collection of critical essays. L.P. Hartley was a highly skilled narrator and all his tales are admirably told. "W.S." comes from "The Complete Short Stories of L.P. Hartley" published posthumously in 1973. At the beginning of the story the author introduces the main character of it who is Walter Streeter. The first postcard he receives is from Forfar and is anonymous. Usually he answers to the letters but this one didn’t have any address so Walter was relieved that he doesn’t need to answer to it. The photograph of Forfar was uninteresting and he tore it up. About ten days later, Walter receives another postcard, but this time it was from Berwick –on –Tweed. After reading the second letter Walter began to wonder if the sender was a woman or a man. After some time he dismissed the stirrings of curiosity that...

Words: 1106 - Pages: 5