Your SlideShare is downloading. ×
Discovering water poverty links in the Sao Francisco river basin-basic database
Discovering water poverty links in the Sao Francisco river basin-basic database
Discovering water poverty links in the Sao Francisco river basin-basic database
Discovering water poverty links in the Sao Francisco river basin-basic database
Discovering water poverty links in the Sao Francisco river basin-basic database
Discovering water poverty links in the Sao Francisco river basin-basic database
Discovering water poverty links in the Sao Francisco river basin-basic database
Discovering water poverty links in the Sao Francisco river basin-basic database
Discovering water poverty links in the Sao Francisco river basin-basic database
Discovering water poverty links in the Sao Francisco river basin-basic database
Discovering water poverty links in the Sao Francisco river basin-basic database
Discovering water poverty links in the Sao Francisco river basin-basic database
Discovering water poverty links in the Sao Francisco river basin-basic database
Discovering water poverty links in the Sao Francisco river basin-basic database
Discovering water poverty links in the Sao Francisco river basin-basic database
Discovering water poverty links in the Sao Francisco river basin-basic database
Discovering water poverty links in the Sao Francisco river basin-basic database
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×
Saving this for later? Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime – even offline.
Text the download link to your phone
Standard text messaging rates apply

Discovering water poverty links in the Sao Francisco river basin-basic database

372

Published on

Presented at the Basin Focal Project Poverty Mapping Workshop, November 2007, Chiang Mai, Thailand

Presented at the Basin Focal Project Poverty Mapping Workshop, November 2007, Chiang Mai, Thailand

Published in: Education, Technology
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
372
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
6
Comments
0
Likes
0
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide

Transcript

  • 1. DISCOVERI G WATER/POVERTY LI KS I THE SÃO FRA CISCO RIVER BASI : BASIC DATABASE Marcelo Torres & SFRB Team September 2007 SFRB Team, UCD/Embrapa
  • 2. Poverty in the SFRB SFRB Team, UCD/Embrapa
  • 3. Rural Poverty in the SFRB 2003 Rural Extreme Poverty- Poverty Rural Poverty Rural % of % of Rural Rural Absolute Pop Absolute Pop Total for 1,012,09 SFRB 5 28% 345,677 9% Alagoas 163,307 41% 70,400 2.6% Bahía 328,313 23% 139,941 9.7% Goiás 7,792 21% 2,846 7.5% Minas Gerais 178,006 22% 43,214 5.3% Pernambuco 258,004 37% 53,484 7.6% Sergipe 48,635 37% 19,603 14.9% SFRB Team, UCD/Embrapa
  • 4. Spatial Clusters of Rural Poverty in the SFRB Cluster 1 Cluster 3 Cluster 2 ot Significant Low - Low High-High High-Low Low-High SFRB Team, UCD/Embrapa
  • 5. Poverty • % Poor and extremely poor 1991 and 2000 (IPEADATA/UNDP) Definition: percentage of people living in a household in which the monthly income per capita was below ½ (poor) and ¼ (extremely poor) of the minimum wage. • Intensity of Poverty 1991 and 2000 (IPEADATA/UNDP) Definition: difference between average monthly income and the poverty line in percentage terms. • % Poor and extremely poor 2003 (IPEA/FIPE) – Rural, Urban and Total • Definition: Extremely Poor - Percentage of people leaving in a household in which the monthly income per-capita is insufficient to buy a basket of goods that provide minimum caloric content. • Poor - Percentage of people that leave in a household in which the monthly income per-capita is sufficient to buy the minimum calorie basket of goods, but not sufficient to cover minimum costs with housing, transportation, health etc. SFRB Team, UCD/Embrapa
  • 6. Geographic/Precipitation • Latitude (IBGE) • Longitude (IBGE) • Altitude (IBGE) • Area in sq meters (IBGE) • Slope, 1 km grid (GTOPO30) – Mean and Standard Deviation • Precipitation (IWMI) – Mean and Standard Deviation over a given number of years SFRB Team, UCD/Embrapa
  • 7. Income, Income Inequality and HDI • Per capita Income 1991 and 2000 (IPEADATA/UNDP) • Value of the average monthly household income in Brazilian Reais, 2000 - Total, Urban and Rural (IBGE) • Gini Coefficient 1991 and 2000 (IBGE) • Human Development Index 1991 and 2000 (IPEADATA/UNDP) SFRB Team, UCD/Embrapa
  • 8. Demographics • Total, Urban and Rural Population 1991 and 2000 (IBGE) • Life Expectancy 1991 and 2000 (IBGE) • Under Five Mortality Rate 1991 and 2000 (IBGE) • Dependency Ratio in 2000 - Total, Urban and Rural (IBGE). • (People 0<15 and >59+)/(People 15-59) SFRB Team, UCD/Embrapa
  • 9. Education • Average Years of Education (population over 25), 1991 and 2000 (IBGE) • Percentage of Chidren 7-14 in school, 1991 and 2000 (IBGE) SFRB Team, UCD/Embrapa
  • 10. Endowments • Labor – Number of people 10 years old or more that are economically active 1991 and 2000. (IBGE) • Land – Number of hectares owned, shared, simply occupied, rented, 1995 (IBGE). • Human Capital – Difference between the discounted expected present value of income associated with education and the income generated by a person without education and experience. 1980, 1991 and 2000 (IPEADATA/UNDP/IBGE). • Rural Credit – Total value of rural credit (marketing, investment and inputs) provided by the financial institutions of the municipio in the year of 2000 to 2004. (Brazilian Central Bank) SFRB Team, UCD/Embrapa
  • 11. Transportation and Access to Markets • Distance to the Federal Capital (IPEA) • Distance to the state capital (IPEA) SFRB Team, UCD/Embrapa
  • 12. Access to Water • Percentage of people that uses the water utility network as the main source, 2000 (IBGE) – Total, Urban and Rural • Percentage of people that uses water from wells and springs as the main source, 2000 (IBGE) – Total, Urban and Rural SFRB Team, UCD/Embrapa
  • 13. Access to Basic Sanitation • Percentage of people that that live in a household connected to water utility sanitation network, 2000 (IBGE) – Total, Urban and Rural • Percentage of people that uses septic tanks, 2000 (IBGE) – Total, Urban and Rural • Percentage of people with no bathrooms/no toilettes, 2000 (IBGE). – Total, Urban and Rural SFRB Team, UCD/Embrapa
  • 14. Land Cover Number of hectares in 1980,85 and 95 (IBGE): • in pasture • in permanent crops • in annual crops • in annual crops recess • in natural forests • unsuitable for agriculture • Productive but not used SFRB Team, UCD/Embrapa
  • 15. Agricultural Yields, Crop Mix, and Scale • Yields (tons/hectare) on “poor” crops: corn, rice, beans and manioc, 1991-2003, (PAM/IBGE). – Yearly mean, variance and average growth rate • Number of hectares (gross planted area) in grains and in specialty crops (fruits and vegetables), 1991-2003, (PAM/IBGE). – Yearly average growth rate • Total hectares used in agriculture (gross planted area), 1991-2003, (PAM/IBGE) – Yearly mean and average growth rate SFRB Team, UCD/Embrapa
  • 16. Ag-Production Value and Livestock • Value of Ag-Production, 1991-2003, (PAM/IBGE). • Value of Livestock Production, 1991-2003, (PPM/IBGE) • Livestock (number of heads per type of livestock), 1991-2003, (PPM/IBGE) SFRB Team, UCD/Embrapa
  • 17. Water Availability  Pm CAm  waim = ln  2   Em slopem ∆x  • Pm is the precipitation, • Em is the potential evapotranspiration, • CAm is the upstream catchments area, • slopem is the local slope and • ∆x is the dimension of the cell size for area m, which analysis is being done. SFRB Team, UCD/Embrapa

×