Rural–urban differentials in fertility levels and fertility preferences in West Bengal, India: a district-level analysis

2019 ◽  
Vol 52 (1) ◽  
pp. 117-131
Author(s):  
Sayantani Chatterjee
Keyword(s):  
Socioeconomic Factors ◽  
Rural Areas ◽  
Urban Areas ◽  
Census Data ◽  
West Bengal ◽  
District Level ◽  
Low Fertility ◽  
Fertility Rates ◽  
Number Of Children ◽  
Contraception Use

AbstractFertility in West Bengal is one of the lowest in India, and this relies heavily on the use of traditional methods of contraception. Social scientists and demographers have pointed to the historical role of the diffusion process of adhering to a small family size. The Total Fertility Rate (TFR) in Kolkata district, the state capital, is the lowest in the country, and has been a centre of low fertility historically. However, stark differences in rural–urban fertility rates have existed over the last few decades in West Bengal, but these have now started to narrow. This study aimed to capture the macro-level rural–urban differences in fertility levels and preferences in the West Bengal, and understand how socioeconomic factors affect these. Data were drawn from the Census of India (2011) and NFHS-4 (2015–16). Using census data and the Reverse-Surviving Method, the TFR of West Bengal was estimated to be 1.9, varying between 2.1 and 1.7 in rural and urban areas. The rural–urban gap in the district-level fertility rates was prominent, specifically in districts with higher levels of fertility. Kolkata, Hugli and North Twenty-Four Parganas had the lowest-low fertility (TFR = <1.5). Fewer than half of women with only one living child wanted further children, and this was somewhat higher in rural areas. Around 40% of women had achieved their desired number of children. However, a substantial proportion (43.1%) had a lower number of children than desired, varying between 45.9% and 41.7% in urban and rural areas, respectively. Contraception use, female education and age at marriage, along with the other socioeconomic factors, had a greater influence on rural fertility rates than on urban counterparts in the districts of West Bengal. Further research should be directed at understanding the contemporary fertility decline as well as the gap between ideal and desired number of children, specifically in those districts with very low fertility rates.

Natural change of the rural population of Yugoslavia with an emphasis on fertility in the early 1990s

Stanovnistvo ◽  
1999 ◽  
Vol 37 (1-4) ◽  
pp. 45-72
Author(s):  
Goran Penev
Keyword(s):  
Rural Population ◽  
Urban Areas ◽  
Urban Population ◽  
Census Data ◽  
Ethnic Origin ◽  
Low Fertility ◽  
Fertility Rates ◽  
Female Population ◽  
Natural Change ◽  
The Moment

The process of intensive deruralization or decline in total rural population of the FR of Yugoslavia in the second half of the 20th century ??m? exclusively as ? result of migration from rural to urban areas. Though constantly positive at the level of the country as ? whole, the downward tendency in rural population growth was observed throughout the period. The author analyzes components and dynamics of natural change in rural population with emphasis on the period from 1981 to 1997, regional specifics up to the republican and provincial levels, and the main differences from the specifics of natural change in urban population. The author highlights that in analyzing natural change b? type of settlement, particular attention should b? paid to the very pronounced interdependency between the components of population dynamics and the age-sex structure, the more so as the latter is becoming the most significant direct determinant of the natural population growth. Namely, crude birth rate of rural population in Yugoslavia has tor several decades now been lower th?n the corresponding measure for urban population, while the crude death rate has, however, been higher. At the same time, in age-specific terms, fertility was higher and mortality lower in rural relative to urban populations. Such discrepancy evolved primarily from the unfavorable age-specific structure of rural population and its notably disturbed sex-specific structure (pronounced surplus in male, particularly younger middle-aged population). The author goes on to analyze the main features of fertility and reproduction in rural population based on demographic statistics. ?? argues that the general and total fertility rates represent more adequate indicators of fertility in rural population, as the impact of age structure has been partially or even fully eliminated. Thus, in 1990-1992, both indicators are higher for rural relative to urban population, and sufficiently high relative to the mortality level to assure integral replacement (net reproduction was 1.0 in rural relative to 0.9 in urban population). In all m???r regions of the country, fertility was higher in rural relative to urb?n population. Such differences were minimal in low fertility regions, while remaining significant in Kosovo and Metohia. The analysis of fertility was supplemented b? the 1991 census data, which, for the first time, included the number of live born children b? age of mother and type of settlement. Despite the fact that such data on female population illustrate the situation at the moment of census taking only, and not at the moment of birth, the author thinks that the cohort analysis based on the census data provide ? much more realistic account of fertility in rural population than the period analysis based on vital statistics, primarily as it resolves the problem of ???ur?t? registration 0f vital events b? type of settlement. Thus, cohort fertility rates show that fertility of rural female population is notably higher than the effective fertility in urban areas. This is true for all five-year age groups without exception, and equally true for all major regions Finally, the author analyzes cohort fertility of the autochthon versus migrant populations, as well as fertility b? ethnic origin. ?? draws ? general conclusion that fertility is higher in migrant relative to autochthon female population, and that th? differences are much more pronounced in rural relative to urban populations. This phenomenon is explained b? the so-called marriage-motivated migration, which the author assumes to b? dominant in migrant female population. As for fertility rates b? ethnic origin, the well-known differences are also evident in rural population. Namely, all ethnic groups can b? classified b? level fertility into three categories. The highest rate is recorded for ethnic Albanian, Roma and Muslim women. Montenegrin women record moderately high fertility rates, while the rate recorded for women of Croatian descent is generally sufficient for generation replacement. The third category is made u? of Serb, Yugoslav, and ethnic Hungarian women as well as the great majority of women of other ethnic origin (?unj?va?, Romanian and Slovak). ?ll these nationalities record very low fertility levels, which have for years been insufficient to enable generation replacement.

scholarly journals Work and fertility in Taiwan: How women’s and men’s career sequences associate with fertility outcomes?

2021 ◽  
Author(s):  
Chen-Hao Hsu
Keyword(s):  
Lower Number ◽  
Low Fertility ◽  
Full Time ◽  
Fertility Rates ◽  
Related Research ◽  
Number Of Children ◽  
Career Trajectories ◽  
The World ◽  
Micro Level ◽  
And Gender

There has been much debate over the micro-level relationship between employment situations and fertility in Europe and Northern America. However, related research in East Asia is scant, although countries in this region have some of the lowest fertility rates in the world. Moreover, most studies analyze the employment-fertility relationship from a static perspective and only for women, which underemphasizes life-course dynamics and gender heterogeneity of employment careers and their fertility implications. Drawing on retrospective data from the 2017 Taiwan Social Change Survey (TSCS), this study explores women’s and men’s career trajectories between ages 18 and 40 in Taiwan using sequence cluster analyses. It also examines how career variations associate with different timing and quantum of birth. Empirical results show that economically inactive women experience faster motherhood transitions and have more children by age 40 than women with stable full-time careers. For men, having an unstable career associates with slower fatherhood transitions and a lower number of children. For both genders, self-employed people are the earliest in parenthood transitions and have the highest number of children by midlife. Our findings demonstrate sharp gender contrasts in employment careers and their diversified fertility implications in low-fertility Taiwan

Using a Rural Index to Assess Crime Risk and Crime Prevention Behavior Across the Urban–Rural Continuum: A Japanese Case Study

2021 ◽  
pp. 105756772110399
Author(s):  
Takahito Shimada ◽  
Ai Suzuki
Keyword(s):  
Crime Prevention ◽  
Rural Areas ◽  
Urban Areas ◽  
Census Data ◽  
Motor Vehicle ◽  
Linear Pattern ◽  
Combining Data ◽  
Prevention Behavior ◽  
Urban Rural ◽  
Municipal Level

The study proposes a new method of crime analysis combining data from multiple secondary data sources (census, open crime data, and social survey) to assess the risk of victimization and crime prevention behavior in resource-limited settings. Principal component analysis was performed on municipal-level census data ( n = 1,883) to generate a rural index that represents the ecological characteristics of each municipality across the urban–rural continuum. Multilevel logistic analyses were then applied to crime incident data ( n = 207,771) to assess the municipal-level effects on victims’ use of locks in motor vehicle and bicycle thefts. A linear pattern of victimization was found for bicycle theft (the risk was about one-thirtieth in the most rural municipalities than that in the most urban municipalities), while the pattern found was nonlinear for motor vehicle thefts. The analysis also revealed that victims in rural areas were less likely to have locked their vehicles before they were stolen than those living in urban areas. Using the rural index developed in this study, police forces can have a better understanding of crime problems in their jurisdiction across the urban–rural continuum. The study discusses the implications of the results for crime prevention and problem-solving policymaking in the urban–rural continuum.

scholarly journals Mapping poverty using mobile phone and satellite data

2017 ◽  
Vol 14 (127) ◽  
pp. 20160690 ◽  
Author(s):  
Jessica E. Steele ◽  
Pål Roe Sundsøy ◽  
Carla Pezzulo ◽  
Victor A. Alegana ◽  
Tomas J. Bird ◽  
...  
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Census Data ◽  
Data Sources ◽  
Human Potential ◽  
Public And Private ◽  
Middle Income ◽  
Mobile Data ◽  
Poverty Measures ◽  
Urban And Rural Areas

Poverty is one of the most important determinants of adverse health outcomes globally, a major cause of societal instability and one of the largest causes of lost human potential. Traditional approaches to measuring and targeting poverty rely heavily on census data, which in most low- and middle-income countries (LMICs) are unavailable or out-of-date. Alternate measures are needed to complement and update estimates between censuses. This study demonstrates how public and private data sources that are commonly available for LMICs can be used to provide novel insight into the spatial distribution of poverty. We evaluate the relative value of modelling three traditional poverty measures using aggregate data from mobile operators and widely available geospatial data. Taken together, models combining these data sources provide the best predictive power (highest r 2 = 0.78) and lowest error, but generally models employing mobile data only yield comparable results, offering the potential to measure poverty more frequently and at finer granularity. Stratifying models into urban and rural areas highlights the advantage of using mobile data in urban areas and different data in different contexts. The findings indicate the possibility to estimate and continually monitor poverty rates at high spatial resolution in countries with limited capacity to support traditional methods of data collection.

scholarly journals Diet Quality and Neighborhood Environment in the Atlantic Partnership for Tomorrow’s Health Project

Nutrients ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 3217
Author(s):  
Kaitlyn Gilham ◽  
Qianqian Gu ◽  
Trevor J. B. Dummer ◽  
John J. Spinelli ◽  
Rachel A. Murphy
Keyword(s):  
Population Density ◽  
Diet Quality ◽  
Rural Areas ◽  
Urban Areas ◽  
Census Data ◽  
Social Deprivation ◽  
Neighborhood Environment ◽  
Neighbourhood Environment ◽  
Deprived Neighbourhoods ◽  
Intermediate Density

An understanding of relationships between different constructs of the neighbourhood environment and diet quality is needed to inform public health interventions. This study investigated associations between material deprivation, social deprivation and population density with diet quality in a cohort of 19,973 Canadian adults aged 35 to 69 years within the Atlantic PATH cohort study. Diet quality, a metric of how well diet conforms to recommendations was determined from a 24-item food frequency questionnaire. Neighbourhood environment data were derived from dissemination area level Census data. Two deprivation indices were evaluated: material and social deprivation, which reflect access to goods and amenities and social relationships. Multi-level models were used to estimate relationships (mean differences and 95% CI) between neighbourhood environment and diet quality, adjusting for covariates. Mean diet quality was lower in the most socially deprived neighbourhoods compared to the least socially deprived: −0.56, 95% CI (−0.88, −0.25). Relationships between diet quality and population density differed between urban and rural areas (p-interaction < 0.0001). In rural areas, diet quality was higher in intermediate-density neighbourhoods: 0.54, 95% CI (0.05, 1.03). In urban areas, diet quality was lower in intermediate-density and the most-dense neighbourhoods: −0.84, 95% CI (−1.28, −0.40) and −0.72, 95% CI (−1.20, −0.25). Our findings suggest socially deprived and high-density neighbourhoods are associated with lower diet quality and possible urban-rural differences in neighbourhood environment-diet quality relationships. Additional studies are needed to determine the temporal nature of relationships and whether differences in diet quality are meaningful.

scholarly journals Thematic Maps of the Impact of Urbanization and Socioeconomic Factors on the Distribution of the Incidence of Cutaneous Leishmaniasis Cases in Sefrou Province, Central North of Morocco (2007–2011)

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Fatima Zahra Talbi ◽  
Nordine Nouayti ◽  
Hajar El Omari ◽  
Mohamed Najy ◽  
Khadija Lahouiti ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Socioeconomic Factors ◽  
Cutaneous Leishmaniasis ◽  
Rural Areas ◽  
Urban Areas ◽  
Pearson Correlation ◽  
Correlation Study ◽  
Poverty Rate ◽  
Impact Of Urbanization ◽  
The Impact

Background. Leishmaniases are vector-borne diseases with health risks. They cause a big health problem. These parasitic diseases are transmitted by the parasite of the genus Leishmania through sandflies. Objective. The aim of this work is to study the distribution of the incidence of cutaneous leishmaniasis (CL) cases and the impact of urbanization and socioeconomic factors and their effects as leishmaniasis risk factors. Methods. We conducted a retrospective study of CL cases collected at the level of Sefrou Province during the period from 2007 to 2011. The data was collected from registers of the Medical Delegation of Sefrou Province. The socioeconomic data, namely, the poverty rate, the popular density, and the type of environment (urban/rural) of Sefrou Province, were obtained from the High Commission for Planning. Statistical analysis was performed by SPSS software (version 20). The data were registered in a Microsoft Excel 2010 file. Statistical analysis was based on one-way analysis of variance (ANOVA), and then a correlation study was carried out (Pearson correlation). The results were considered significant when p was less than 0.05. The database was analyzed by QGIS 2.18, which is open source software. Results. A total of 349 cases of CL were collected at Sefrou Province from 2007 to 2011. A percentage of 49% of the cases come from urban areas, while 51% of the cases come from rural areas. In the statistical analysis, the division of the incidence of CL cases was found to be significantly associated only with urbanization. For the other factors, the number of people or the poverty rate is not taken into account in the incidence dynamics. Conclusion. This study may be useful for the implementation of future adequate measures and controls. Getting rid of leishmaniasis requires a comprehensive approach by acting on the sources of contamination through good continuous surveillance, appropriate management, effective vector control, and awareness-raising strategies.

Demographic and socioeconomic factors affecting infant mortality in Egypt

1990 ◽  
Vol 22 (4) ◽  
pp. 447-451 ◽  
Author(s):  
Hassan Y. Aly
Keyword(s):  
Infant Mortality ◽  
Socioeconomic Factors ◽  
Rural Areas ◽  
Urban Areas ◽  
Factors Affecting ◽  
Rural And Urban Areas ◽  
Positive Effects ◽  
Rural And Urban ◽  
Reduce Infant Mortality ◽  
Nationally Representative

SummaryThis paper analyses the relative importance of demographic and socioeconomic factors with respect to their role in reducing infant mortality in Egypt.Logit analyses of data from a nationally representative sample of Egyptian households, and for urban and rural households separately, indicate that demographic factors have more effect on infant mortality than socioeconomic factors. The results also show the need to improve housing in urban areas and sewerage systems in rural areas in order to reduce infant mortality. One of the most important policy conclusions, however, concerns the importance of providing a vigorous educational campaign to enlighten mothers and prospective mothers in both rural and urban areas on the positive effects of breast-feeding, longer birth intervals, and fewer children on the survival of infants.

scholarly journals Model simulations of cooking organic aerosol (COA) over the UK using estimates of emissions based on measurements at two sites in London

2016 ◽  
Vol 16 (21) ◽  
pp. 13773-13789 ◽  
Author(s):  
Riinu Ots ◽  
Massimo Vieno ◽  
James D. Allan ◽  
Stefan Reis ◽  
Eiko Nemitz ◽  
...  
Keyword(s):  
Population Density ◽  
Atmospheric Chemistry ◽  
Rural Areas ◽  
Urban Areas ◽  
Census Data ◽  
Organic Aerosol ◽  
Balance Model ◽  
Rural Site ◽  
Annual Average ◽  
The Uk

Abstract. Cooking organic aerosol (COA) is currently not included in European emission inventories. However, recent positive matrix factorization (PMF) analyses of aerosol mass spectrometer (AMS) measurements have suggested important contributions of COA in several European cities. In this study, emissions of COA were estimated for the UK, based on hourly AMS measurements of COA made at two sites in London (a kerbside site in central London and an urban background site in a residential area close to central London) for the full calendar year of 2012 during the Clean Air for London (ClearfLo) campaign. Iteration of COA emissions estimates and subsequent evaluation and sensitivity experiments were conducted with the EMEP4UK atmospheric chemistry transport modelling system with a horizontal resolution of 5 km  ×  5 km. The spatial distribution of these emissions was based on workday population density derived from the 2011 census data. The estimated UK annual COA emission was 7.4 Gg per year, which is an almost 10 % addition to the officially reported UK national total anthropogenic emissions of PM2.5 (82 Gg in 2012), corresponding to 320 mg person−1 day−1 on average. Weekday and weekend diurnal variation in COA emissions were also based on the AMS measurements. Modelled concentrations of COA were then independently evaluated against AMS-derived COA measurements from another city and time period (Manchester, January–February 2007), as well as with COA estimated by a chemical mass balance model of measurements for a 2-week period at the Harwell rural site (∼ 80 km west of central London). The modelled annual average contribution of COA to ambient particulate matter (PM) in central London was between 1 and 2 µg m−3 (∼ 20 % of total measured OA1) and between 0.5 and 0.7 µg m−3 in other major cities in England (Manchester, Birmingham, Leeds). It was also shown that cities smaller than London can have a central hotspot of population density of smaller area than the computational grid cell, in which case higher localized COA concentrations than modelled here may be expected. Modelled COA concentrations dropped rapidly outside of major urban areas (annual average of 0.12 µg m−3 for the Harwell location), indicating that although COA can be a notable component in urban air, it does not have a significant effect on PM concentrations on rural areas. The possibility that the AMS-PMF apportionment measurements overestimate COA concentrations by up to a factor of 2 is discussed. Since COA is a primary emission, any downward adjustments in COA emissions would lead to a proportional linear downward scaling in the absolute magnitudes of COA concentrations simulated in the model.

scholarly journals Fertility dynamics and reproductive behaviour of men and women entering into marriage in the Republic of Bashkortostan

2021 ◽  
Vol 5 (2) ◽  
pp. 55-75
Author(s):  
Yana A. Skryabina
Keyword(s):  
Reproductive Behaviour ◽  
Fertility Rate ◽  
Low Fertility ◽  
Reproduction Rate ◽  
Fertility Rates ◽  
Expected Number ◽  
Number Of Children ◽  
Reproductive Intentions ◽  
Republic Of Bashkortostan ◽  
The Republic

The article is devoted to the analysis of the fertility rate dynamics in the Republic of Bashkortostan and the study of the reproductive behaviour of the population entering into a registered marriage. The author examines the crude and total fertility rates, the net population reproduction rate, the total fertility rate by the order of births, as well as age-specific fertility rates. In addition, basing on the data of population surveys, the author regards reproductive intentions of citizens applying for marriage in the registry office, as well as reasons that may prevent them from having a child. The study shows that the Republic of Bashkortostan is characterized by a low fertility rate; the generation of children does not replace the generation of parents. The reproductive intentions of the respondents measured by the desired and expected number of children correspond to the small (two-child) family model. Among the main reasons that can prevent the birth of a child, the first two are financial and housing difficulties, and third is the desire to live for oneself for a while.

scholarly journals Socioeconomic Determinants of Malaria in Selected Urban and Rural Areas in Anambra State, Nigeria

2020 ◽  
pp. 53-64
Author(s):  
C. C. Nduka ◽  
H. N. Chineke ◽  
P. O. Adogu ◽  
A. F. Chizoba
Keyword(s):  
Socioeconomic Factors ◽  
Rural Areas ◽  
Urban Areas ◽  
Control Measures ◽  
Health Concern ◽  
Skilled Workers ◽  
Quality Health Care ◽  
Cross Sectional ◽  
Rural And Urban Areas ◽  
Rural And Urban

Malaria, a disease of poverty, is of significant public health concern. It is endemic in Nigeria with the risk of transmission appearing to be high because of favorable climatic and environmental factors. Increased susceptibility to malaria has also been linked to dirty surroundings that favor the breeding and propagation of the vector, poor access to quality health care and ignorance especially of malaria prevention strategies. However, this study investigated the role of socioeconomic factors responsible for the observed difference in malaria prevalence between selected rural and urban areas of Anambra, Nigeria. A descriptive comparative cross-sectional study, data on demographic and socioeconomic variables were collected from 202 urban and rural respondents, then analyzed using SPSS platform to generate chi-square test of significance. The results were presented in figures, table and charts for clarity. All the subjects were aware of the term malaria but only 63.4% had adequate specific knowledge of malaria. Generally, 25.7% of rural participants had no formal education while the urban group had only 4% of that particular category. About 52.5% of rural participants earned below 50,000 naira monthly, with 14.9% earning above 100,000 naira while the reverse was the case in the urban area. Also, the number of malaria episodes was inversely proportional to the household monthly income (X2=24.30, p<0.001). More episodes of malaria were also reported among the unskilled workers and skilled workers (71.3%) compared to Professionals (28.7%), yet all the participants reported the presence of a healthcare facility <3km from their houses with 95% and 80.2% of them in the rural and urban areas respectively having to pay out-of-pocket for healthcare services. It is clear that socioeconomic factors play a role in the persistence of malaria as an endemic disease in Nigeria. Therefore, existing control measures should incorporate strategies to end poverty and ignorance especially among the rural populace.

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