Infrastructure preprocessor

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SeriesRoadRuralAccessIndex is obviously a series we need to look into. The World Bank no longer has this exact index however.

Sources

WDI, ITU, WHO, WSS/JMP

Infrastructure series pulled into preprocessor 

Table Definition Source Notes Last IFs Update
SeriesRoadRuralAccessIndex Rural Access Index, proportion of the rural population who live within 2 km (25 minute walk) of all-weather road The World Bank Rural Access Index CT 2010/07/15
SeriesICTExpend%GDP ICT technology expenditure, % of GDP WDI CD 2010 and existing IFs data Information and communications technology expenditures include computer hardware, software, services, and wired and wireless  communication services; MJE 2011/05/28
SeriesWasteWaterColConnect% Percent of population connected to urban wastewater collection system UNSD/ UNEP/ OECD/ EUROSTAT AS; PM; UNEP/ OECD data replaced by 2011 UNSD/UNEP/ OECD/EUROSTAT 2011/08/08
SeriesWasteWaterTreatConnect% Percent of population connected to urban wastewater treatment system UNSD/ UNEP/ OECD/ EUROSTAT AS; PM; UNEP/ OECD data replaced by 2011 UNSD/UNEP/ OECD/EUROSTAT 2011/08/08
SeriesHouseholds Number of Households in millions ITU 2011   2011/08/19
SeriesLandIrPotentialReached Irrigation potential (1000 ha) for countries that reached the potential already AQUASTAT, at http://www.fao.org/nr/water/aquastat/dbase/index.stm DSR; looked at FAO/Aquastat data to find countries with no growth/decline in the recent period 2011/11/16
SeriesEnElecTotalCapacityEIA Total electricity installed capacity EIA; US Energy Information Administration; AS;CN 2012/03/15
SeriesEnvSolidFuels % of population using solid fuels UNSTATS and WHO survey data and missing point estimation by DPHE, WHO and UC Berkley researchers BH; PO; DSR wanted to put hard data and missing point estimations (done by WHO & Berkley) in the same table 2013/07/03
SeriesEnElecAccess%National Percentage of national population with access to electricity IEA and various other sources quoted in a UNDP/WHO publication on energy access; 2010 estimated AS; BJH 2013/07/10
SeriesEnElecAccess%Rural % of rural population with access to electricity IEA and various other sources quoted in a UNDP/WHO publication on energy access; 2010 estimated AS; EWF; Processed  by JFM; BJH 2013/07/10
SeriesEnElecAccess%Urban % of urban population with access to electricity IEA and various other sources quoted in a UNDP/WHO publication on energy access; 2010 estimated AS; EWF; Processed  by JFM; BJH 2013/07/10
SeriesLandIrPotential Irrigation potential (1000 ha)
 AQU 2013 BATCH PULL EWF; AS 2013/07/18
SeriesGovernanceEffect Governance quality, effectiveness (-2.5 to 2.5, higher is better) Worldwide Governance Indicators, http://info.worldbank.org/governance/wgi/index.asp DAB;SMD 2013/10/14
SeriesGovernanceRegQual Governance quality, regulatory quality (-2.5 to 2.5, higher is better) Worldwide Governance Indicators, http://info.worldbank.org/governance/wgi/index.asp DAB;SMD 2013/10/14
SeriesRoadPavedKm Length of paved roads, kilometers WDI 2013; WDI 2011; Calderon (communication to DR) and Canning, David (1998) with updates by Canning from WDI 2006 DAB - Some data lost in update but NOT blended because they don't adequately match new series; AS; estimates will have to go off 2013/12/17
SeriesLandIrAreaEquipFAO Land Area Equipped for Irrigation FAO DAB 2013/12/19
SeriesEnConTotalWDI Energy consumption, use of primary energy from all sources WDI 2014 May BATCH PULL AS; AMB; converted from KTOE to BBOE using a factor of 7.33 * .000001 2014/06/11
SeriesEnElecShrEnDem Electricity consumption as a percentage of total energy consumption WDI 2014 May BATCH PULL DSR; AMB 2014/06/11
SeriesEnProdElec Electricity production total in kilowatt-hours WDI 2014 May BATCH PULL AS; ME; PM; AMB 2014/06/11
SeriesRoadsPaved% Roads, paved as a percent of total roads WDI 2014 May BATCH PULL cleaned by removing obvious errors in data (mainly single points which showed large decline) 2014/06/11
SeriesRoadsTotalNetwork Roads, total network, kilometers WDI 2014 May BATCH PULL AS; DSR has clean till 2008; AS estimates 2010; Data cleaned by removing obvious errors 2014/06/11
SeriesWHO2012WaterPipedFiltered Proportion of Total population served with Piped Water to premises which is Filtered or Boiled (%) WHO: provided directly by Annette Pruss-Ustun of the WHO PJO 2014/06/24
SeriesWHO2012WaterPipedNoFilter Proportion of Total population served with Piped Water to premises which is not Filtered or Boiled (%) WHO: provided directly by Annette Pruss-Ustun of the WHO PJO 2014/06/24
SeriesWHO2012WaterOthImpFiltered Proportion of Total population served with Other Improved Water which is Filtered or Boiled (%) WHO: provided directly by Annette Pruss-Ustun of the WHO PJO 2014/06/25
SeriesWHO2012WaterOthImpNoFilter Proportion of Total population served with Other Improved Water which is not Filtered or Boiled (%) WHO: provided directly by Annette Pruss-Ustun of the WHO PJO 2014/06/25
SeriesWHO2012WaterUnImpFiltered Proportion of Total population served with Unimproved Water which is Filtered or Boiled  (%). Total Unimproved Water is the sum of Surface and Other Unimproved water access. (This is probably the same as WSSJMP unimproved water) WHO: provided directly by Annette Pruss-Ustun of the WHO PJO 2014/06/25
SeriesWHO2012WaterUnImpNoFilter Proportion of Total population served with Unimproved Water which is not Filtered or Boiled  (%). Total Unimproved Water is the sum of Surface and Other Unimproved water access.  (This is probably the same as WSSJMP unimproved water) WHO: provided directly by Annette Pruss-Ustun of the WHO PJO 2014/06/25
SeriesICTTelephoneLinesPer100 Fixed telephone lines per 100 inhabitants ITU 2014 MTI; PJO 2014/06/30
SeriesICTBroadbandSubscribersPer100ITU Fixed broadband subscriptions per 100 inhabitants ITU 2014 BATCH PULL PJO; KH 2015/01/28
SeriesICTComputerHousehold% Proportion of households with a computer ITU 2014 BATCH PULL mti 2015/01/28
SeriesICTTelephoneCellSubscribersPer100 Mobile cellular subscriptions per 100 inhabitants ITU 2014 BATCH PULL MTI; AS; PJO 2015/01/28
SeriesICTBroadbandMobileSubsPer100 Broadband Mobile, Mobile cellular subscriptions with access to data communication at broadband speed per 100 inhabitants ITU 2014 BATCH PULL MTI 2015/02/03
SeriesIncBelow1D25c%WDI2011 Population below poverty line of $1.25 per day PPP (2005) WDI 2015 March WDI Website dab; PJO; EWF; Processed by JFM; MJE; AMB 2015/03/17
SeriesLandAgri Agricultural Land Area, sum of arable land, permanent cropland  and permanent meadows and pastures FAO  BATCH PULL CLP 2015/04/10
SeriesLandTotal Land, total FAO  BATCH PULL CLP 2015/04/10
SeriesICTInternetHousehold% Proportion of households with Internet access at home ITU JEM 2015/04/14
SeriesICTCYBICTDevelopmentIndexITU Definition
The ICT Development Index (IDI) is a composite index that serves to monitor and compare developments in information and communication technology (ICT) across countries. The higher the score, the higher the level of development. 		ITU: Measuring the Information Society 2008, 2010-2014 SJ 2015/05/10
SeriesEnElecConsPerCap Electricity consumption per capita WDI  BATCH PULL AD 2015/07/14
SeriesEnElecTransLoss% Electric power transmission and distribution losses (% of output) WDI  BATCH PULL AD 2015/07/14
SeriesWSSJMPSanitationTotal%Improved Proportion of Total population served with Improved Sanitation (%) WSS JMP WHO/UNICEF JMP PJO, PJO, AS; PM, EWF, ZDD 2015/08/25
SeriesWSSJMPSanitationTotal%OpenDefecation Proportion of Total population served with Open Defecation Sanitation (%) WSS JMP WHO/UNICEF JMP PJO, PJO, AS; PM, EWF, ZDD 2015/08/25
SeriesWSSJMPSanitationTotal%OtherUnimproved Proportion of Total population with Other Unimproved Sanitation (%) WSS JMP WHO/UNICEF JMP PJO, PJO, AS; PM, EWF, ZDD 2015/08/25
SeriesWSSJMPSanitationTotal%Shared Proportion of Total population served with Shared Sanitation (%) WSS JMP WHO/UNICEF JMP PJO, PJO, AS; PM, EWF, ZDD 2015/08/25
SeriesWSSJMPWaterTotal%OtherImproved Proportion of Total population served with Other Improved Water (%) WSS JMP WHO/UNICEF JMP PJO, PJO, AS; PM, EWF; AS - filled for 0 in 'Other improved' and 'Unimproved' for countries and years where we have 100% piped; ZDD (left data as is per DSR instruction) 2015/08/25
SeriesWSSJMPWaterTotal%OtherUnimproved Proportion of Total population with Other Unimproved Water (%) WSS JMP WHO/UNICEF JMP PJO, PJO,  AS; PM, EWF; AS - filled for 0 in 'Other improved' and 'Unimproved' for countries and years where we have 100% piped, ZDD (left data as is per DSR instruction) 2015/08/25
SeriesWSSJMPWaterTotal%Piped Proportion of Total population served with Piped Water (%) WSS JMP WHO/UNICEF JMP PJO, PJO, AS; PM, EWF; AS - filled for 0 in 'Other improved' and 'Unimproved' for countries and years where we have 100% piped, ZDD (left data as is per DSR instruction) 2015/08/25
SeriesWSSJMPWaterTotal%Surface Proportion of Total population with Surface Water (%) WSS JMP WHO/UNICEF JMP PJO, PJO, AS; PM, EWF; AS - filled for 0 in 'Other improved' and 'Unimproved' for countries and years where we have 100% piped; ZDD (left data as is per DSR instruction) 2015/08/25
SeriesGDP2011PCPPP GDP per capita (constant 2011 PPP International $) WDI - calculaed from WDI and other sources;  extrapolated based on previous GDP_PCPPP2005 values in IFs; extrapolated based on CIA Factbook; taken directly from CIA Factbook; taken directly from previous GDP_PCPPP2005 values in IFs N.S; DSR built it; no new data; AS; CN; MJE; AMB. WDI 2013; extrapolated based on previous GDP_PCPPP2005 values in IFs; extrapolated based on CIA Factbook; taken directly from CIA Factbook; taken directly from previous GDP_PCPPP2005 values in Ifs 2015/09/18
SeriesPopulation Population in millions UNPD 2015 (DSR added Taiwan from WEO) N.S ; DSR built it - data for Taiwan are from the IMF World Economic Outlook and that the data for Kosovo are from WDI. 2015/09/18

Irrigation

Land equipped for irrigation

  • Area equipped for irrigation (TLANDIRAREAEQUIP) is initialized using SeriesLandIrAreaEquipFAO
    • Source: FAO
    • Definition: Land Area Equipped for Irrigation
    • Last IFs update: 2013/12/19
    • Note: need to switch to AQUASTAT when it gets updated


  • Potentially irrigable land reached (CLandIrPotReached) initialized usingSeriesLandIrPotentialReached


  • If CLandIrPotReached is not null, and it is less than the area of land equipped for irrigation (TLANDIRAREAEQUIP)
    • Then set the saturation level (CLandIrAreaSat) as 10% above TLANDIRAREAEQUIP.
  • Otherwise, CLandIrPotReached is the saturation level


  • Potentially irrigable land (CLandIrPot) is initialized using SeriesLandIrPotential
    • Source: AQUASTAT
    • Definition: Irrigation potential (1000 ha)
  • If null then
    • If land equipped for irrigation is null, then
      • Assume potentially irrigable land is 10% of agricultural land area (CLandAgri).
      • Land equipped for irrigation is 33% of potentially irrigable land
      • Saturation level is 29.7% of potentiall irrigable land
        • CLandIRAreaSat(ICount%) = (0.1 + 0.9 * (TLANDIRAREAEQUIP / CLandIrPot)) * CLandIrPot
        • 39.7% because (TLANDIRAREAEQUIP/CLandIrPot) = .33
        • Note: This seems wrong because saturation level (39.7% of potential) is only slightly higher than land equipped (33%)
    • If there is data on land equipped for irrigation then
      • If land equipped for irrigation is greater than 9% of agricultural land and less than 91% of agricultural land then
        • Saturation level (CLandIRAreaSat) is 10% higher than current level of land equipped for irrigation (LANDIRAREAEQUIP)
      • If land equipped for irrigation is less than 9% of agricultural land then
        • Potentially irrigable land is 10% of agricultural land
        • Saturation level is initialized using same equation above: CLandIRAreaSat(ICount%) = (0.1 + 0.9 * (TLANDIRAREAEQUIP / CLandIrPot)) * CLandIrPot
        • Note:This also sets the saturation level low (lower than potentially irrigable, which is 10% of agricultural land)
      • If land equipped for irrigation is greater than 91% of agricultural land then
        • Potentially irrigable land is set as agricultural land
        • Saturation level is again set as: CLandIRAreaSat(ICount%) = (0.1 + 0.9 * (TLANDIRAREAEQUIP / CLandIrPot)) * CLandIrPot
        • Note:There is currently no country where this is the case i.e. this branch of the code is never activated
  • If there is data for potentially irrigable land
    • But there isn't data on land equipped for irrigation
      • Land equipped for irrigation is 33% of potentially irrigable land
    • And there is data on land equipped for irrigation then
      • CLandIRAreaSat(ICount%) = Amin(cLandAgri, AMAX(TLANDIRAREAEQUIP * 1.01, (0.4 + 0.6 * (TLANDIRAREAEQUIP / CLandIrPot)) * CLandIrPot))
      • 'If Potential is less than AreaEuip set the saturation at 1% higher than actual
      • Note:This is not true. If potential is less than equipped, then ((0.4 + 0.6 * (TLANDIRAREAEQUIP / CLandIrPot)) * CLandIrPot) could actually be larger than (LANDIRAREAEQUIP * 1.01)


  • Set the land equipped for irrigation growth rate as
    • CLandIrAreaEquipGR(ICount%) = getAnnualGrowthRate(LandIrAreaEquipTbl, BaseYear, 0.08, -0.08, 3, 5, 15, 10)
    • Note: this calculates a growth rate using historical values. The parameters are (max growth rate, min growth rate, minimum number of years needed to compute growth rate, maximum number of years to compute growth rate, maximum number of years to go backward from BaseYear, maximum number of years to go forward from BaseYear)
  • If unable to calculate (no data) then
    • set as -9999 (which should get adjusted to 0.001)



 

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