Web1 Sep 2024 · This paper evaluates the benefits of combining household surveys with satellite and other geospatial data to generate small area estimates of non-monetary poverty. Using data from Tanzania and Sri Lanka and applying a household-level empirical best (EB) predictor mixed model, we find that combining survey data with geospatial data … WebTrusted Data in the Asia and Pacific. The Asia and the Pacific region underwent pronounced social and economic transformations in the past two decades and emerged as a key player in the global economy. From a 4% share of global GDP in 1960 to almost 35% in 2024, the region's economic growth has led to a dramatic drop in the number of people ...
Countries: Non-traditional and innovative data sources
Web15 Mar 2024 · It is important to note that the results of PHCR calculated from EUS are either slightly over/under-estimated in some states (about 5–7 percentage points in both 2004–2005 and 2011–2012) as compared to the estimation based on CES data (see Table 1).Hence, a similar margin of difference is expected for the poverty estimates based on … Web19 Aug 2016 · To overcome challenges related to the timeliness of data, researchers have investigated the use of non-traditional data sources for the purpose of mapping poverty levels [4]. Nightlights data from ... dagenham united u14 whites
Counted and Visible Toolkit UN Women Data Hub
WebHowever, progress has been made towards detection and attribution of climate change impacts on the poorest by linking standard climate observations in low-income countries with new non-traditional forms of data (including Indigenous knowledge, historical archival data, satellite imagery, and data from digital devices) (Kuffer et al., 2016; Lu et al., 2016; … WebPoverty as a problem has been perplexing governments all over the world, especially developing countries. It is very important for policy makers and researchers to analyze the conditions and causes of poverty, which is helpful to reduce poverty. The traditional way of poverty measurement mainly depends on the ground survey data [1]. WebPost- Independence Poverty Estimation. Working Group (1962): The poverty line in India was quantified for the first time in 1962 by this Group in terms of a minimum requirement (food and non-food) of individuals for healthy living. VM Dandekar and N Rath (1971): first established the consumption levels required to meet a minimum calorie norm. dagenham shopping centre