Birth cohorts, marriage patterns, and contraceptive methods used among women in contemporary Myanmar

Abstract

Purpose

The total fertility rate in Myanmar stands low in comparison to neighboring countries. This decrease in the birth rate will lead to a decline in the number of young Burmese in the future, an issue that is of concern to the Myanmar government. The purpose of this study was to review the contributing factors to marriage and birth rates and to also review the use of contraception among married women.

Design/methodology/approach

This quantitative research study was based on cross-sectional secondary data available from the Myanmar Demographic and Health Survey 2015–2016. The study sample included 6,138 women of reproductive age.

Findings

The proportion of unmarried women and the mean age at the first marriage date in the early cohort was higher than that of the women who were born in the later cohort. The study shows that birth cohort, female labor force participation, migration, wealth index, and media exposure are significant in explaining marriage types and patterns (p < 0.05). The injection and the pill were the most popular contraceptive methods for both cohorts. Other methods such as intrauterine devices, implants, and condoms were not as popular.

Originality/value

This paper presents the birth cohort, female labor force participation, migration, wealth index, and media exposure as key factors for determining the timing of marriage.

Citation

Chan, N., Sawangdee, Y., Pattaravanich, U., Holumyong, C. and Chamratrithirong, A. (2020), "Birth cohorts, marriage patterns, and contraceptive methods used among women in contemporary Myanmar", Journal of Health Research, Vol. 34 No. 3, pp. 209-219. https://doi.org/10.1108/JHR-06-2019-0127

Introduction

The birth cohort in any specific year is determined by the situation in the country [1]. In Myanmar, the political conflicts in 1988 led to a stagnant economic status. During the socialist period, from 1962 to 1988, the government regime pursued self-reliance, grew increasingly alienated from the outside world, and foreign direct investment was almost nonexistent [2]. The mean age at first marriage increased from 21.3 years to 22.4 years. During the socialist period, there were changing marriage patterns that influenced the level and trend of fertility [3]. Besides, the government used a pro-natalist policy for many decades, and there were no family planning services until the introduction of the family planning program in 1990 [4].

The marriage pattern is marked by a significant proportion of women who remain unmarried, and the establishment of a household after the couple has married can be measured by the timing and prevalence of marriage [5]. In 1980, the single mean age at marriage (SMAM) was lower in Myanmar compared with other Southeast Asian countries. However, in 2015, the SMAM was higher and the total fertility rate was lower than in other ASEAN countries, except for Singapore and Thailand [6].

Family planning is one of the main procedures in helping to improve maternal and child health by encouraging birth spacing and helping to prevent unwanted pregnancies [7]. According to UNFPA, in 2016 in Myanmar, 84.3 percent of women were offered at least three modern contraceptive methods from the primary health service, while 62.5% were offered at least five modern contraceptive options from secondary and tertiary health services [8]. The most readily available method was the oral contraceptive pill (90%), and the second was a contraceptive injection (84%) [9]. The implant and the emergency contraceptive pills were the highest stockout contraceptives [8].

Looking at similarities to Myanmar, three other countries, namely, Cambodia, Zimbabwe, and Tanzania, had the same modern society indicators such as GDP, female labor force participation, and urban–rural ratio in 2014–2015. According to a Demographic and Health Survey (2014–2015), the percentage of unmarried women in Myanmar was 10% higher, and the median age of first marriage was two years more than the other three countries mentioned [9]. Therefore, focusing on the effect of modernization on marriage patterns in Myanmar is important. Although contraceptive services were supported by the government health sectors, the users' choice of contraceptive methods is important [8]. The objective of this study was to prove that the modernization and socioeconomic characteristics are contributing factors to the timing of marriage among men and women. This study also aimed to learn more about choices for contraceptive methods used amongst married women.

This study pointed out the situation of demand and supply of contraceptive method use, which can help the government in considering its population policy. If the situation is not addressed, the nation may suffer from a reduction in the labor force and witness an increase in older people and a reduction in the younger generation. Hence, it is important to look at the individual, household, and community characteristics affecting marriage patterns and assess the contraceptive methods used in this nation.

Methodology

The raw data were drawn from a cross-sectional study of the Myanmar Demographic and Health Survey (MDHS) conducted by the Ministry of Health and Sports of the Republic of the Union of Myanmar. Data were collected between December 7, 2015, and July 7, 2016 [9]. The sample included all female respondents aged 15–49 years, both married (1992 cases) and unmarried population (4,146 cases). The married women group included women who had married in the space of the previous five years (2010–2015).

Study variables

Birth cohort referred to the year of the respondent's birth. Based on Myanmar's political changes, it was divided into two parts: the 1966–1987 birth cohort (Burma Socialist Programme Party) = 0, and the 1988–2001 birth cohort (The State Peace and Development Council) = 1 [10]. The age at first marriage was defined as the age at which the respondent began living with her first spouse [9]. It was divided into (0 = single, 1 = early marriage, 2 = normal-age marriage, 3 = late marriage) as dependent variables. Late marriage or delay in marriage was defined as “marrying between age 30 and death.” Early marriage was defined as “marrying younger than 23” [11]. Normal age at marriage was defined as “marrying between age 23 and age 29.” The contraceptive method used was the contraception method married women used within the previous five years. It was divided into (0 = did not use, 1 = pill, 2 = injection, 3 = intrauterine device (IUD), 4 = implant, 5 = condom, 6 = others). The other contraceptive methods were female sterilization, periodic abstinence, withdrawal, traditional methods, and lactational amenorrhea. The current study tried to explain the accessibility, acceptability, and affordability of contraceptive use. The accessibility was measured by the rural/urban residence, the affordability was measured by wealth index, and the acceptability was measured by age group and occupation [12].

The model was a multilevel analysis with a multinomial logistic regression employed when concentrating on the timing of the first marriage. The independent variables included individual levels such as birth cohort, migration, and mass media scores. The household-level included wealth index and the possession of a motorcar. The community-level included the percentage of local female employment. Migration refers to the respondents changing their usual place of residence within five years. The scores of mass media were measured on the basis of exposure to radio, newspaper, and television. We computed those three variables as one variable. The wealth index refers to one way of determining socioeconomic status [13]. The female labor participation rate refers to the percentage of the females who participated in labor/employment. Independent variables were selected based on Goode's modernization theory [14] and Easterlin's economic and social modernization theory [13].

Data processing and statistical analysis

Data were analyzed on three levels: individual, household, and community as multilevel analyses. Stata version 14.0 was used, and multinomial logistic regression analysis was employed for the timing of the first marriage. Robust cluster standard error was chosen because of the amount of variation in the outcome variable and was correlated with the explanatory variables [15].

Ethical considerations

This study used data from MDHS, which is already permitted by the Demographic and Health Survey website (www.dhsprogram.com). This study was approved by the Institute for Population and Social Research-Institutional Review Board (IPSR-IRB) with a Certificate of Exemption COE. No. 2019/01-039 on 28 February 2019.

Results

Some selective characteristics, birth cohort, and marriage patterns among women

From the descriptive results, the average age for the women was 25 years. Of the total respondents, over two-thirds were from rural areas and the remaining were from urban areas. About 30.1% were born between 1966 and 1987 (under the Burma Socialist Programme Party), while 69.9% were born between 1988 and 2001 (under the State Peace and Development Council). Looking at the occupational status, over half of them did agricultural work, 12% were in other working environments such as offices, industries, and own businesses, while one-third did not work. About 6% had migrated. Half of the respondents attended secondary school. The women were more exposed to television than to press media and the radio. Nearly one-third of the women were members of poor households, while two-thirds were members of a middle-class or wealthy household. Interestingly, two-thirds were single, followed by early marriage (19.4%), normal-age marriage (9.3%), and then late marriage (3.7%). The proportion of unmarried women and the mean age at first marriage of the 1966–1987 cohort were higher than those who were born in the 1988–2001 cohort (Table I).

Those with a higher education tended to belong to unmarried statistics and higher ages, or were older when marrying than other education groups. The percentage of unmarried women in non-agricultural work was more than those with no occupation and an agricultural occupation, and their age at their first marriage was higher. The percentage of both the unmarried women and age at first marriage increased when the women were exposed to mass media. Lastly, the higher the household wealth index, the more the unmarried female population and more the age at first marriage. Although all results showed similar patterns between the two birth cohorts, there were different percentages of unmarried proportions and of mean age at first marriage.

Determinants of the timing of marriage

The multivariate analysis aimed to assess sociodemographic determinants of the timing of marriage. Multinomial logistic regression analysis was performed. The predicting probabilities of the individual for making the decision to marry were estimated. As a result, sociodemographic factors that determined the decision time to marry were birth cohort, migration, wealth index, and the percentage of female participation. These were statistically significant after controlling for age, residence, household possession of a motorcar, percentage of household electricity use, and percentage of persons who had a higher education (Table II).

Reviewing the coefficients of multinomial logistic models can be complicated, so it is important to calculate probability [16], which is based on the purpose of some selective variable analysis such as birth cohort, wealth index, mass media scores, and female labor force participation. In Table III, for the early cohort (1966–1987), the normal marriage age was experienced by 23.1% and was the highest proportion, while late marriage and early marriage were at 10.2% and 0.3%, respectively. However, the women in the late cohort (1988–2001) were more likely to have an “early marriage” than other marriage groups, and these were followed by “normal marriage” and “late marriage” groups. Concentrating on the wealth index, women with a higher wealth index were more likely to remain “single” longer than those with a lower wealth index, and the probability of experiencing each type of marriage decreased. With reference to mass media scores, it predicted that if mass media scores increased, the probability of more “single” women would increase, while the type of marriage could decrease. As for the female labor force, when the percentage of female labor force participation increased, the probability of women remaining “single” also increased. Looking at the type of marriage, the probability of each type of marriage age group decreased when the percentage of the female labor force increased (Table III).

Birth cohort and contraceptive methods used

Figure 1 shows methods of contraceptive use among married women with their first child and those without a child during a five-year period. In addition, the information in Tables IV and V gave some socioeconomic background information and contraceptive methods used by married women for each cohort. When comparing the two birth cohorts, the rate of contraceptive use in the early cohort (1966–1987) was less than the late cohort (1988–2001). Focus on age groups in the early (15–24) and late (0–49) cohorts was not included in this analysis. The samples were collected from women aged between 15 and 49 years during the 2015–2016 period. The earliest birth year was 1966, and the latest birth year was 2001. The age group (45–49 years) in the early cohort did not use any contraceptives. The injection, pill, and IUD were the top three contraceptive methods used among those in the 25–39 age groups. Young women (15–29) in the late cohort mostly used the injection followed by pills, IUD, and other methods. When the women's age increased, the percentage of those not using contraception increased in both cohorts. The women in rural areas used the injection more than those in the urban areas, especially the early cohort. However, the proportion of women who used the injection was nearly the same in both rural and urban areas in the late cohort. Looking at pill use, women in urban areas were more likely to use the pill than those in rural areas. Women who were employed in non-agricultural sectors used more contraceptives than women in other working environments. Looking at the migration status, those who migrated used more contraceptives than non-migrants did. On the wealth index, poor women used contraception less than rich women. All findings showed similar patterns between the two birth cohorts.

Discussion

Empirical studies argued that the younger cohort had more single women, and the age at the first marriage was higher than the older cohort [17]. This evidence is inconsistent with this current study, as the women who were born in 1966–1987 (the older cohort) were more likely to remain single and were older at marriage than those who were born in 1988–2001 (the younger cohort). One observation for this could be that they may have experienced some hardships related to economic and social problems when they were growing up [2]. In the later cohort, the proportion of early marriage increased because they were more likely to have some freedom and a well-developed economic situation. In addition, another possible explanation is that the participants were those who married within five years. Moreover, the youths (15–24 years) in the early cohort and adults (30–49 years) in the later cohort were not included because the participants were already older than the 15–24 age group, while the women had not yet reached 30 years old in the late cohort. Surprisingly, the proportion of single women and the age at first marriage of non-migrant women was higher than that of migrants. Some studies proved that migration can promote marriage, while other studies stated that it delayed marriage [18]. Research findings showed that women who were exposed to mass media were less likely to marry and were more likely to stay single. Scholars found that there were delays in getting married due to excessive consumption of mass media [13].

As mentioned earlier, contraceptive method use is one of the indicators that point to demand and supply of contraception [7, 8]. Importantly, the birth cohort can reflect some of the tastes and perceptions of the individual through their contraceptive behaviors [19]. The percentage of no contraceptive use was very high (70%) among those who did not have any children. This can be explained by the observation that there could have been some migration between spouses, such as husbands working away, or they were trying to have children [8].

Considering each method, the study found that the pill and injection were the most popular methods. For example, the percentage of women who had no children while using the pill was about 14%, while those who had their first child were about 16%. The reason for using this method here maybe was for birth spacing. At the same time, regarding the use of contraceptive injection, it can be done only at the public health center or the private health sector, and the percentage of those who had their first child was higher than those who did not have children. We are able to conclude that the injection method is now popular among females in Myanmar. For other contraceptive methods such as the IUD, condoms, implants, and sterilization, the uptake percentage is not as high. This is not only because public health centers or the private health facilities for implementing or operations are quite limited but also because some couples may be afraid of the side effects and the costs [8]. The skill levels of the health workers who can provide the service may need to be improved, and they may require retraining. However, a study conducted in Pattani province, Thailand, stated that condoms were the most used method followed by the pill, the withdrawal method, the injection, the emergency pill, and the calendar method [20].

Women who lived in urban areas used contraception at a higher proportion than those in rural areas for both cohorts, because women in urban areas seemed to have more awareness of contraceptive usage than those in the rural areas. There were also different levels of access to contraceptive methods in both the private and public sectors [8]. The women employed in professional work had a higher proportion of contraceptive use than the women who had worked in low-skilled or agrarian settings in both cohorts. The injection was the highest used method of contraception among women engaged in non-agricultural work. They did not want to have children as they were worried they would have to leave their jobs. Newly married early-age women used contraception more than normal-age and late-married women because they wanted to avoid teenage pregnancy. When we look at birth cohort and contraceptive use, women who live in urban areas, those who are migrants, those working in non-agriculture sectors, and those having a rich wealth index used contraception more than the other groups did. These findings are consistent with other literature on the subject [19].

Conclusion

This study confirmed that women in the 1966–1987 cohort faced more difficulties and hardships than when they were growing up. The proportion of marriages was high among the late-marriage group rather than the early-marriage group. This phenomenon is quite different when compared to the younger age groups born during the socialeconomic development and national freedom years. Looking at family planning methods, the two most popular methods are the injection and the pill, and these are not expensive and are easy to access because the government provides them. Surprisingly, IUD, implant, sterilization, and others need highly skilled health personnel, which is more expensive and, consequently, the number of people using those methods is still quite low. Moreover, the percentage of contraceptive use in the early cohort and the late cohort is similar, but the younger ones are more likely to use contraceptives more regularly, particularly for birth spacing. The female labor force participation showed a marked preference for late-marriage age and contraceptive use. That is to say, women empowerment via development and enrolling in the job market is important. As a result, a strategy to encourage women to marry in the normal age group is required. Importantly, the nation needs to promote not only the pill and injection but also other methods such as the IUD and implants, but will need medical centers and well-trained health workers to effectively implement this strategy.

Limitation of the study

This study employed some secondary data from another cross-sectional study, and it had already set up the selection criteria. The main purpose of this study was to see how the dependent variables (age at first marriage) were affected by current social and socioeconomic characteristics. If not affected, those independent variables were not updated and not referred to as the respondents' recent status. For example, if the respondent married in 2000, it was impossible to claim that recent characteristics (2015) affected or did not affect the age at first marriage. This does result in some limitations at the analysis stage. It also affects the mean age at first marriage. With regards to the early cohort (1966–1987), the mean age at first marriage was 21.28 years in MDHS, while the mean age was 29.14 years in this current study. Meanwhile, it was found that the mean age at first marriage in the late cohort (1988–2001) was 18.85 years according to MDHS, while it was 19.63 in this study. This current study studied the respondents who had married within five years of the study and aimed to find the temporary effect of modernization and socioeconomic characteristics on the age at first marriage. After selection, in the current sample (6, 138) from a sample of MDHS (12,885), about 90% of women who married over five years in the early cohort (1966–1987) were excluded from this study. However, regarding the late cohort (1988–2001), nearly 30% who had been married for more than five years were also excluded from the study. As most of the women (90%) in the early cohort had already been married for over five years and only 30% of women in the late cohort had been married for more than five years, there was a large difference in mean age at first marriage between the two cohorts in this study.

Figures

Figure 1

Methods of contraceptive use among married women within five years

Table I

Birth cohort, the proportion of never married, mean age at first marriage, and some selective characteristics among women

Characteristics		Percentage of never married		Mean age at first marriage (year)
	Total	Birth cohort 1966–1987	Birth cohort 1988–2001	Birth cohort 1966–1987	Birth cohort 1988–2001
N	6138	1275	2871	570	1422
Total (%)	100	69.1	66.7	29.1	19.6
Residence
Rural	66.5	68.8	64.9	29.1	19.4
Urban	33.5	69.6	71.2	29.2	20.2
Migration
Not move	94.0	70.5	67.7	29.0	19.6
Move	6.0	45.6	54	29	19.5
Education
No education and primary education	34.9	73.4	55.3	29.8	19.0
Secondary education	50.0	65	71.4	28.4	19.7
Higher education	15.1	67	75.8	29.3	22.1
Occupation
No occupation	29.6	50.4	64.7	29.1	19.5
Agricultural work	58.3	72.2	60.8	28.9	19.2
Non-agriculture work	12.1	78.2	69.7	29.2	19.9
Exposure to media
Newspaper/magazine	44.6	69.4	72.7	29.1	20.1
Radio	43.8	73.8	71.9	29.3	19.8
TV	75.8	70.6	69.3	28.9	19.7
Wealth index
Poorest	14.1	50.7	56.7	28.6	18.7
Poorer	16.2	67.0	65.0	28.9	19.3
Middle	20.9	67.6	66.8	29.0	19.9
Richer	23.4	75.4	67.6	28.8	19.9
Richest	25.4	70.6	75.6	29.8	20.6

Table II

Multinomial logistic regression on single, early marriage, normal-age marriage, and late marriage among women (N = 6,138)

Characteristics	Single vs early marriage		Single vs normal marriage		Single vs late marriage		Early vs normal marriage		Early vs late marriage		Normal vs late marriage
	β	p	β	p	β	p	β	p	β	p	β	p
Age*^	0.12	0.01	−0.02	0.09	0.02	0.01	−0.15	0.01	−0.10	0.01	0.04	0.01
Residence Urban	0.10	0.43	0.26	0.09	0.13	0.60	0.16	0.41	0.03	0.92	−0.13	0.59
Birth Cohort*^^ 1988–2011	5.63	0.01	−1.54	0.01	−19.3	0.01	−7.17	0.01	−24.9	0.01	−17.8	0.01
Migration*	0.93	0.01	0.61	0.01	1.23	0.01	−0.32	0.13	0.30	0.31	0.63	0.01
Household possession of car	0.49	0.01	0.26	0.22	0.14	0.62	−0.23	0.37	−0.34	0.27	−0.11	0.74
Wealth index Poorest*	1.09	0.01	0.49	0.01	0.15	0.62	−0.60	0.02	−0.94	0.01	−0.34	0.33
Poorer*	0.74	0.01	0.30	0.12	−0.13	0.64	−0.44	0.07	−0.87	0.01	−0.43	0.18
Moderate*	0.62	0.01	0.37	0.03	−0.06	0.81	−0.25	0.22	−0.66	0.02	−0.43	0.13
Richer*	0.61	0.01	0.083	0.59	−0.68	0.01	−0.53	0.01	−1.29	0.01	−0.76	0.01
Mass media scores*	−0.30	0.01	−0.15	0.01	−0.21	0.01	0.15	0.02	0.09	0.28	−0.06	0.48
% Of household electricity use	0.01	0.62	0.01	0.01	0.01	0.15	0.01	0.09	0.01	0.29	0.01	0.91
% Of persons who have high education	−0.01	0.01	−0.01	0.07	-0.02	0.02	0.01	0.32	−0.01	0.72	−0.01	0.23
% Of female labor force participation*	0.01	0.65	−0.01	0.27	−0.01	0.01	−0.01	0.21	−0.01	0.01	−0.01	0.04

Note(s): Pseudo R square = 0.1716, log pseudo likelihood = −4712.56, Wald chi² = 37648.38, significant* = p value < 0.05, age^ is measured by ratio scale, birth cohort^^ is 1966–1987 as reference.

Table III

Predicted probability of the type of marriage by focusing on some selective characteristics

Characteristics	Type of marriage
	Single	Early marriage	Normal marriage	Late marriage	Total
Birth cohort
1966–1987	66.4	0.3	23.1	10.2	100
1988–2001	57.4	37.9	4.6	0.1	100
Wealth index
Poorest	52.2	32.1	11.7	0.4	100
Poorer	58.2	27.8	10.7	3.3	100
Middle	59.5	25.8	11.4	3.3	100
Richer	62.1	26.1	9.0	2.8	100
Mass media scores
5	63.4	22.4	10.0	4.2	100
10	77.7	11.9	7.7	2.7	100
15	87.4	5.6	5.4	1.6	100
20	92.9	2.5	3.7	0.9	100
25	96	1.1	2.4	0.5	100
Percentage of female labor force participation
20	65.4	18.5	10.2	5.9	100
40	66.4	18.9	9.8	4.9	100
60	67.0	19.3	9.5	4.2	100
80	67.7	19.6	9.2	3.5	100
100	68.4	19.9	8.8	2.9	100

Table IV

Percentage of cohort 1966–1987 and selective socioeconomic background and contraceptive use among married women (N = 570)

Socioeconomic background	Not use	Pill	Injection	IUD	Implant	Condom	Others
Total	60.5	11.1	20.9	2.6	1.6	1.6	1.8
Age group (yrs)
25–29	51.9	15	26.3	2.5	2.5	0.6	1.3
30–34	61.6	10.1	21.3	3.1	1.6	1.2	1.2
35–39	61.5	10.3	17.1	2.6	0.9	4.3	3.4
40–44	77.8	0	11.1	0	0	0	5.6
45–49	100	0	0	0	0	0	0
Residence
Rural	64.7	8.5	23.4	0.6	0	1.7	1.1
Urban	53.7	15.3	16.7	6	4.2	1.4	2.8
Occupation
No work	60.8	9.1	22.2	2.3	1.7	1.7	2.3
Non-agriculture	58.8	12.7	20.7	2.9	1.7	1.7	1.4
Agriculture	72.3	6.4	17	2.1	0	0	2.1
Migration
No	61.5	10.3	21.4	2.5	1.6	1.4	1.4
Yes	51.8	17.9	16.1	3.6	1.8	3.6	5.4
Type of marriage
Early marriage	42.9	21.4	21.4	7.1	7.1	0	0
Normal marriage	55.8	12.8	25	2.4	1.8	1.2	0.9
Late marriage	68.4	7.9	14.9	2.6	0.9	2.2	3.1
Wealth index
Poorest	66.7	5.3	24	1.3	0	0	2.7
Poorer	71.4	9.1	19.5	0	0	0	0
Middle	59.3	10.2	25.4	0.8	0.8	2.5	0.8
Richer	55.3	15.8	21.9	2.6	0.9	2.6	0.9
Richest	57.5	11.8	16.7	5.4	3.8	1.6	3.2

Table V

Percentage of cohort 1988–2001 and selective socioeconomic background and contraceptive use among married women (N = 1,422)

Socioeconomic background	Not use	Pill	Injection	IUD	Implant	Condom	Others
Total	51.5	16.8	28	1.2	0.8	0.6	1.1
Age group (yrs)
15–19	55.3	12.9	31	0.4	0	0	0.4
20–24	49.9	19.4	27.4	0.9	1	0.5	0.9
25–29	52.4	14.2	27.2	2.3	0.8	1.3	1.8
Residence
Rural	54.4	15.3	27.7	1	0.6	0.5	0.7
Urban	44.1	20.9	28.9	1.8	1.3	1	2.1
Occupation
No work	51.4	15.7	28.9	1.2	0.8	1	1.2
Non-agriculture	49.9	18.3	28.1	1.4	0.6	0.4	1.3
Agriculture	57.8	14.6	25.2	0.5	1.5	0.5	0
Migration
No	52.1	16.2	28.3	1	0.8	0.7	0.8
Yes	45.9	23	24.6	3.3	0	0	3.3
Type of marriage
Early marriage	51.4	17.5	28.4	0.8	0.7	0.4	0.8
Normal marriage	52	13.5	26.2	2.9	1.2	1.6	2.5
Wealth index
Poorest	59	12.9	25.8	0.6	1	0	0.6
Poorer	51.9	16.9	28.6	0.8	0.8	0	1.1
Middle	52.8	14.4	29.8	1	0.3	1	0.7
Richer	44.3	21.5	31.3	1.6	0.3	0.3	0.6
Richest	49.3	18.7	23.1	2.2	1.8	2.2	2.7