Rural poverty and rice

 Ambica Paliwal, Alice Laborte, and Neale Marvin Paguirigan   |  

More than 65% of the 1.7 billion people in South Asia live in rural areas and rely on agriculture for their livelihood. Nearly, 70% of South Asians, which is one-fifth of the world’s population, consider rice as their staple food. With 41% arable land, the region produces more than 225 million tons of rice in different ecosystems, which can be categorized into three: irrigated, rainfed lowland, and upland.

Fig. 1. Rice megaenvironments of South Asia.

Fig. 1. Rice megaenvironments of South Asia.

We overlaid the map of rice ecosystems (Fig. 1) with population maps to estimate the number of people living at or near rice-growing regions (Fig 2). Based on this assessment, 68% of the South Asians live at or near rice ecosystems: 45% in irrigated, 19% in the rainfed lowland, and 4% in upland ecosystems. Nearly 500 million people live on less than USD1.25 a day in South Asia. Many of the poor live in rice-growing areas with the highest density in eastern India and Bangladesh (Fig. 3).

Fig. 2. Population of South Asia in different rice ecosystems.

Fig. 2. Population of South Asia in different rice ecosystems.

Population maps are important for measuring impacts of population growth, monitoring changes, and planning interventions (Tatem et al 2007). Such information can be used in better targeting of activities such as dissemination of improved rice technologies to benefit more, especially the poor.

Fig. 3. Rural poor population in South Asia.

Fig. 3. Rural poor population in South Asia.

Sources:
Center for International Earth Science Information Network (CIESIN), Columbia University, United Nations Food and Agriculture Program, and International Center for Tropical Agriculture. 2005. Gridded Population of the World, Version 3 (GPWv3): Population Count Grid. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC).

Gumma MK, Nelson A, Thenkabail PS, Singh AN. 2011. Mapping rice areas of South Asia using MODIS multitemporal data. J. Appl. Remote Sens. 5:053547.

Tatem AJ, Noor AM, von Hagen C, Di Gregorio A, Hay SI. 2007. High resolution population maps for low-income nations: Combining land cover and census in East Africa. PLOS ONE 12, e1298, 1-8.

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Dr. Laborte is an IRRI scientist working on geographic information system (GIS) and market research. Dr. Ambica is a postdoctoral fellow on GIS while Mr. Paguirigan is a junior specialist on information system at IRRI.

1 Comment so far. Feel free to join this conversation.

  1. lanre fadayomi January 11, 2017 at 10:32 pm - Reply

    I speak the voice of an average youth involved in Rice production in Nigeria in particular southern geo zones. The more we try to get is rigth , the more difficult it becomes. Is there any assistance we as a group can get from your agro intervention program.
    Best of regards.

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