June 2016 consolidation
New data series
AQUASTAT - 10 series, some preprocessor - pulled by Kristen, vetted by Joel
| Variable |
|---|
| LandIrActual%Equip |
| LandIrAreaEquip |
| LandIrEquip%Cultivated |
| LandIrEquip%Potential |
| LandIrEquip%WaterManaged |
| LandIrEquipActual |
| LandIrEquipMixed |
| LandIrEquipSurface |
| LandIrPotential |
| WaterTotalAgManagedArea |
UIS - 42 series, some preprocessor - pulled by Mohammod, vetted by Kristen
| Variable |
|---|
| EdExpPri%GDPPC |
| EdExpSec%GDPPC |
| EdExpSecLowr%GDPPC |
| EdExpSecUppr%GDPPC |
| EdExpTer%GDPPC |
| EdPriAIRFemale% |
| EdPriAIRMale% |
| EdPriAIRTotal% |
| EdPriCompletionFemale% |
| EdPriCompletionMale% |
| EdPriCompletionTotal% |
| EdPriEnrollGrossFemalePcnt |
| EdPriEnrollGrossMalePcnt |
| EdPriEnrollGrossTotalPcnt |
| EdPriEnrollNetFemalePcnt |
| EdPriEnrollNetMalePcnt |
| EdPriEnrollNetTotalPcnt |
| EdPriNIRFemale% |
| EdPriNIRMale% |
| EdPriNIRTotal% |
| EdPriSurvivalFemale% |
| EdPriSurvivalMale% |
| EdPriSurvivalTotal% |
| EdPriTransition2Sec%Female |
| EdPriTransition2Sec%Male |
| EdPriTransition2Sec%Total |
| EdSecEnrollNet |
| EdSecEnrollNetFemale |
| EdSecEnrollNetMale |
| EdSecLowerEnrollGross%Female |
| EdSecLowerEnrollGross%Male |
| EdSecLowerEnrollGross%Total |
| EdSecUpperEnrollGross%Female |
| EdSecUpperEnrollGross%Male |
| EdSecUpperEnrollGross%Total |
| EdTerEnrollGross%Female |
| EdTerEnrollGross%Male |
| EdTerEnrollGross%Total |
| EdTerGradRate1stDegreeFemale% |
| EdTerGradRate1stDegreeMale% |
| EdTerGradRate1stDegreeTotal% |
| GovtEdPub%GDP |
WHO_Global_Health_Expenditure_Database - 3 series, preprocessor - Julianna pulled, Kristen vetted
| Variable |
|---|
| HealthExpGov%Tot |
| HealthExpPriv%Tot |
| HealthExpTot%GDP |
ITU - 3 series - pulled by Joel, vetted by Caleb
| Variable |
|---|
| ICTBroadbandSubscribersPer100ITU |
| ICTTelephoneCellSubscribersPer100 |
| ICTTelephoneLinesPer100 |
UNESCO - 1 series - pulled by Julianna, vetted by Kristen
| Variable |
|---|
| R&DGovt%GDP |
SIPRI - 3 series, some preprocessor - pulled by Caleb, vetted by Joel
| Variable |
|---|
| GovtMil%GDPBlendACDASIPRI |
| GovtMil%GDPBlendACDASIPRIwEstimates |
| GovtMil%GDPSIPRI |
WHO_Tobacco_Free_Initiative_(TFI) - 2 series - pulled by Joel, vetted by Caleb
| Variable |
|---|
| HealthSmokingPrevalenceWHOFemales% |
| HealthSmokingPrevalenceWHOMales% |
Affected modules
Government finance
Military spending
The biggest change in military spending (in absolute terms) after updating the SIPRI data is in the US. US military spending decreases from an initialized value of 4.4% to 3.51% (in 2014).
Health spending
The largest change in health spending (as a percent of GDP) is in UAE. This also leads to one of the largest changes in absolute health spending. Total health spending in UAE increases from 249 to 326 billion USD in 2100.
Education spending
The largest change in total education costs (as a percent of GDP) at any point in the timeline occurs in Lithuania. It occurs in 2019 and appears to be driven by a decrease in enrollment. Specifically, tertiary enrollment is significantly lower in the new forecast due to data.
Education
Papua New Guinea has a dramatic difference in its net intake rate at the primary level, the old 2014 value was 97.43. The new value is 29.64 in 2014. This is a decline from our 2012 data point of 54.79.
Infrastructure
The Central African Republic sees one of the most extreme and sustained differences between the previous version and this one in ICT mobile broadband subscriptions. At its peak, the values in 2030 are almost 30 subscriptions lower per 100. The difference starts in 2022.