Western Area

  • Capital:Freetown
  • Languages:English, Mende, Temne, Krio
  • First Person:No data
  • Population (persons):1625131 (2018)
  • Area in sq.km:557 (2018)
  • Population Density (hab/area):2,917.6 (2018)
  • Total Fertility Rate (children per woman):4.0 (2015)
  • Number of Houshold:321235 (2015)
  • Literacy Rate (%):65 (2004)
  • Gross Enrolment Ratio (%):116 (2004)
  • Crude Birth Rate (births per 1000 population):40.7 (2015)
  • Infant Mortality Rate (Deaths per 1000 live births):85.0 (2015)
  • Child Mortality Rate (Deaths per 1000 live births):56.0 (2015)
  • Employed (number):236183 (2015)

比較
すべてのデータセット: A D E G H I M N P R S W
  • A
  • D
  • E
    • 4月 2015
      ソース: GitHub
      アップロード者: Knoema
      以下でアクセス: 29 4月, 2015
      データセットを選択
      Ebola : Sub-national time series data on Ebola cases and deaths, 2015
    • 5月 2016
      ソース: World Health Organization
      アップロード者: Knoema
      以下でアクセス: 14 6月, 2016
      データセットを選択
    • 12月 2016
      ソース: Statistics Sierra Leone
      アップロード者: Knoema
      以下でアクセス: 07 5月, 2018
      データセットを選択
    • 12月 2016
      ソース: Statistics Sierra Leone
      アップロード者: Knoema
      以下でアクセス: 08 5月, 2018
      データセットを選択
      Employment and Labor Force of Sierra Leone
    • 2月 2024
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 13 2月, 2024
      データセットを選択
      1: Most surveys were administered using the Enterprise Surveys Global Methodology as outlined in the Methodology page, while some others did not strictly adhere to the Enterprise Surveys Global Methodology. For example, for surveys which do not follow the Global Methodology, the Universe under consideration may have consisted of only manufacturing firms or the questionnaire used may have been different from the standard global questionnaire. Data users should exercise caution when comparing raw data and point estimates between surveys that did and did not adhere to the Enterprise Surveys Global Methodology. For surveys which did not adhere to the Global Methodology plus Afghanistan 2008, any inference from one of these surveys is representative only for the data sample itself. 2: Regional and "all countries" averages of indicators are computed by taking a simple average of country-level point estimates. For each economy, only the latest available year of survey data is used in this computation. Only surveys, posted during the years 2009-2017, and adhering to the Enterprise Surveys Global Methodology are used to compute these regional and "all countries" averages. 3: Descriptions of firm subgroup levels, e.g. how the ex post groupings are constructed, are provided in the Indicator Descriptions (PDF, 710KB) document. 4: Statistics derived from less than or equal to five firms are displayed with an "n.a." to maintain confidentiality and should be distinguished from ".." which indicates missing values. Also note for three growth-related indicators under the "Performance" topic, these indicators are not computed when they are derived from less than 30 firms. 5: Standard errors are labeled "n.c.", meaning not computed, for the following:    1) indicators for all surveys that were not conducted using the Enterprise Surveys Global Methodology and    2) for indicator breakdowns by ex post groupings: exporter or ownership type, and gender of the top manager.
  • G
    • 3月 2023
      ソース: The Global Data Lab
      アップロード者: Knoema
      以下でアクセス: 10 3月, 2024
      データセットを選択
      Data citation: Data retrieved from the Area Database of the Global Data Lab, https://globaldatalab.org/areadata/, version v4.2.Smits, J. GDL Area Database. Sub-national development indicators for research and policy making. GDL Working Paper 16-101 (2016).
  • H
  • I
  • M
  • N
    • 10月 2017
      ソース: Statistics Sierra Leone
      アップロード者: Knoema
      以下でアクセス: 05 4月, 2019
      データセットを選択
      Sierra Leone 2015 Population and Housing Census - Thematic Report on Nuptiality and Fertility   EXECUTIVE SUMMARY This report considers nuptiality and fertility in Sierra Leone using data obtained from the 2015 Population and Housing Census. The objectives of the report included an analysis of the levels, pattern and trends of the current and lifetime fertility and nuptiality in the country. Various direct and indirect methods were used to analyse the data on both variables. Direct methods include calculation of percentages, rates and ratios. Specific indirect methods used were the Trussell P/F Ratio method and the Relational Gompertz methods (from the Bureau of Census USA). These indirect techniques were used to assess and adjust the current fertility data to minimize inaccuracies, such as poor reporting of births, which have resulted in very low fertility indicators such as the reported total fertility rate.   The findings of this report suggest that levels of fertility have not changed much for 30 years. The total fertility rate is still in the region of six children per woman, the same rate as that recorded in the 1985 Census. The crude birth rate, the general fertility rate, the gross reproduction rate and the number of children ever born have also remained roughly the same. The mean age at childbearing is in the region of 30 years. Marriage is a common phenomenon amongst both men and women, although more women are married than men. Marital fertility is far higher than non-marital fertility. The reported fertility rate for currently married monogamous women is 3.1 children; women married in polygamous unions have 3.9 children, while the never married women have 0.24 children. These results suggest that the incidence of births outside marriage is low in Sierra Leone. Sierra Leone’s Customary Marriage and Divorce Act states that girls cannot marry before 18 years of age. However the data suggests that the singulate mean age at marriage is less than 18 years across the country. This seems to indicate that the Act is not being implemented effectively.   Levels of fertility, as indicated by various fertility indices such as the total fertility rate and the mean number of children ever born, have barely fallen since the national census of 1985. This would seem to suggest that the social, cultural and economic supports of high fertility still exist and there is low contraceptive use. Recommendations emerging from these analyses include a more effective implementation of the 2007 Customary Marriage and Divorce Act, through extensive educational programmes. Family planning programmes should also use similar strategies to increase the contraceptive prevalence rate, which will in turn contribute to a reduction in fertility levels.
  • P
    • 5月 2017
      ソース: Statistics Sierra Leone
      アップロード者: Raviraj Mahendran
      以下でアクセス: 14 9月, 2018
      データセットを選択
    • 5月 2023
      ソース: African Postharvest Losses Information System
      アップロード者: Knoema
      以下でアクセス: 12 5月, 2023
      データセットを選択
      Postharvest loss profiles (PHL profiles) quantify the expected loss – as a percentage – at each point along the postharvest chain. This loss data is collected by reviewing scientific literature and is broken down by crop, type of farm and climate type (based on the Köppen-Geiger climate classification). These profiles provide percentage loss figures for the various crops throughout the value chain under varying conditions and are updated as new research becomes available."   For complete reference information and definitions, Please visit: https://www.aphlis.net/en/page/20/data-tables#/datatables?year=20&tab=references&metric=prc
  • R
  • S
  • W
    • 9月 2015
      ソース: Water FootPrint Network
      アップロード者: Raviraj Mahendran
      以下でアクセス: 27 10月, 2015
      データセットを選択
      Data cited at: The Water Footprint Network https://waterfootprint.org/en/ Topic: Product water footprint statistics Publication: https://waterfootprint.org/en/resources/waterstat/product-water-footprint-statistics/ Reference: Mekonnen, M.M. & Hoekstra, A.Y. (2011) The green, blue and grey water footprint of crops and derived crop products, Hydrology and Earth System Sciences, 15(5): 1577-1600. License: https://creativecommons.org/licenses/by-sa/3.0/    
    • 9月 2015
      ソース: Water FootPrint Network
      アップロード者: Raviraj Mahendran
      以下でアクセス: 27 10月, 2015
      データセットを選択
      Data cited at: The Water Footprint Network https://waterfootprint.org/en/ Topic: Product water footprint statistics Publication: https://waterfootprint.org/en/resources/waterstat/product-water-footprint-statistics/ Reference: Mekonnen, M.M. & Hoekstra, A.Y. (2011) The green, blue and grey water footprint of crops and derived crop products, Hydrology and Earth System Sciences, 15(5): 1577-1600. License: https://creativecommons.org/licenses/by-sa/3.0/