Follow Us:  
Facebook  Tweeter 
ABOUT LISGIS| STAFF|DISSEMINATION TOOLS| MAPS| PUBLICATIONS| CALENDAR OF RELEASE| EBOLA INFO| CONTACTS & FEEDBACK
SURVEYS
CENSUS
ONGOING EVENTS

» Foreign training in Nairobi, Kenya

--------------------
» Events HIES

--------------------


DEVELOPMENT PARTNERS
PHOTO GALLERY




















LISGIS NEWS
 
WELCOME TO LISGIS
2014 Household Income & Expenditure Survey: Summary Findings


According to the 2014 Household Income and Expenditure Survey (HIES), implemented by the Liberia Institute of Statistics and Geo-Information Services, 54% of Liberians were living in poverty between January and August 2014.  This translates into more than 2.1 million Liberians which were unable to meet their basic food and non-food needs in this period.  Poverty was higher in rural areas compared to urban, 70% versus 43% respectively, but the larger share of the population living in urban areas means that there are roughly the same number of urban poor as rural poor.
 
The characteristics of poverty differ between urban and rural areas.  The majority of the “food-poor,” or those whose caloric intake was insufficient to meet basic needs, were living in urban areas.  Of those classified as non-poor overall in urban areas, 13% were nonetheless food-poor, compared to 6% in rural areas.  This higher incidence was likely driven by higher costs for urban necessities, such as rent and transportation, that crowd out spending on food.  Also, many in rural areas also produce food, allowing them to meet nutritional needs even if there is little left for non-food consumption.  The most extreme example of this difference is in Montserrado County, which is largely comprised by the capital city of Monrovia, where there were higher numbers of food-poor than poor overall.  In contrast, most of the poorest were still found in rural areas, where 27% of those living were classified as extreme poor, compared to 12% in urban areas.

Regional poverty was lowest in Montserrado country, and highest in the South Eastern B region, which is comprised of Maryland, River Gee, and Grand Kru counties.  Outside of Monrovia, the lowest incidences were in the South Central region, containing the port of Buchanan in Grand Bassa county, a major center for iron ore exporting, and South Eastern A region, the center of the logging industry and the Greenville port in Sinoe county. 
 
Other characteristics of the poor also included low levels of education, with a poverty headcount of 69% for households in which the head had no education compared to 24% in those with post-secondary education, and employment of the household head as an own-account worker in agriculture, with a headcount of 77% compared to 41% for wage employees and 38% for those self-employed outside of agriculture. Female-headed households, which comprised about one-quarter of all households, and male-headed households both showed poverty rates approximately equal to the overall average of 54%.
 
Comparing the 2014 and 2007 poverty estimates - The poverty estimates from the 201 [...Read more]
 
KEY INDICATORS
- External Trade Published on Dec 13th, 2013
 
The section External Trade relied mainly on data obtained from the Customs and Excise entry bills and declarations in ASYCUDA files captured at customs entry points throughout the country and other notable Government Institutions responsible for export documentation.
Read more |


- CPI Published on Dec 20th, 2013
The Consumer Price Index (CPI) measures changes overtime in the general level of prices of goods and services that households acquired, (use or pay for) for the purpose of consumption.

Read more |


- Labor Force Survey Published on Dec 21st, 2013
The Objective of the Labor Force Survey is to


  • Determine the size and composition of the labor force, classified by key variables such as sex, age. County, education, skill levels, institutional sector, industry, occupation and employment status

  • Provide details on the various components of the labor force (the employed, unemployed, with special information on those who are underemployed)

Please download PDF below to gain further insight into the LFS Indicators

Read more |


- LDHS Published on Dec 21st, 2013
The Objective of the LDHS is to

  • Provide data on education, fertility, family planning, child and maternal mortality, sexual behavior, maternal health, nutrition, child health, malaria prevention, HIV/AIDS knowledge and behavior
  • Measure MDGs other indicators
  • Obtain a population-based estimate of HIV prevalence among adults age 15-49

Please download PDF below to gain further insight into the LDHS Indicators

 

Read more |


COUNTIES STATISTICS INFO
GOL MINISTRIES AND AGENCIES
BANKS
  Copyright © 2013 -2016 LISGIS all rights reserved  Developed by: HAK Technology