Infrastructure preprocessor

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 (CLandIrPotReached) initialized usingSeriesLandIrPotentialReached
  • Source: AQUASTAT, at http://www.fao.org/nr/water/aquastat/dbase/index.stm
  • Notes:DSR; looked at FAO/Aquastat data to find countries with no growth/decline in the recent period

• 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)