India 2017 Consolidation

Population Module

Model Vetting Using IIASA's India Model

Andaman and Nicobar Islands

Population

In 2010 the IFs model's population is about 2% greater than IIASA's, but in 2015 Andaman and Nicobar Islands's population drops below IIASA's by about 9%. The IFs model's population forecasts are less than IIASA's by an increasing rate and by 2095 IFs's population forecast is by about 94%. 

Crude Birth Rates

Andaman and Nicobar Island's Crude Birth Rates in IFs are close to IIASA's forecasts. In 2075 and 2080 IFs is less than IIASA by about 10%, but all other years the two models are less than 10% in difference. 

Crude Death Rates

The IFs model's CDRs are significantly greater than IIASA's forecasts. In 2015 the IFs model's CDRs are about 9% greater than IIASA's and by 2095 the difference grows to around 23%. 

Arunachal Pradesh

Population

Arunachal Pradesh's population forecast in IFs is close to IIASA's. IFs is less than IIASA by an increasing amount from about 2040 to 2080. In 2080, the difference between the two model's forecasts peaks at about a 4.3% difference. From 2080 through the end of the time horizon the difference between the two models decreases slightly to around 4%. 

Crude Birth Rates

Arunachal Pradesh's CBRs in the IFs model jump up in 2014 at model initialization. The IFs model's forecasts are significantly higher than IIASA's, ranging between 18% and 36% difference. 

Crude Death Rate

Arunachal Pradesh's CDRs in IFs are greater than in IIASA's by 36% initially. Overtime, the two models become closer and closer until 2090 when IIASA's forecasts for CDR pass IFs. 

Assam

Population

The IFs model's population forecasts are slightly greater than IIASA's by less than 5% in all years. The average difference between the two models is around a 3%. 

Crude Birth Rates

CBRs are relatively close in the two models. The largest difference is in 2095 where IFs's population forecast is nearly 8% lower than IIASA's. 

Crude Death Rates

In 2010 there is an 18% difference between IIASA and IFs's historical data. By 2015 the two models are very close and IIASA is greater than IFs until around 2070. After 2070 IFs' CDRs are greater than IIASA's by an increasing rate. From 2015 through 2100 there is not a difference between the two models that is greater than 5.5%. 

Bihar

Population

Bihar is one of the largest provinces in India and IFs is forecasting greater population growth than what is seen in IIASA's forecasts by about 70 million by the end of the time horizon. In 2095, IFs forecasts Bihar's population to be about 31% greater than IIASA's forecast.

Crude Birth Rate

IFs forecast of Bihar's CBRs are greater than IIASA's. IFs forecasts rise and fall two times in the forecasts. IIASA's forecasts are smoother than IFs and steadily decline over time. In 2030 the difference between the two models is at its' greatest reaching about a 24% difference. In 2095 the difference between the two model's declines to its' lowest point at about 3% difference. 

Crude Death Rate

In 2010 the two model's have their greatest difference, with IFs's CDR being 20% greater than IIASA's. From IFs model initialization in 2014 through 2060 the two models are quite close, with less than 10% difference in all years. After 2060, IIASA's forecasts are greater than IFs by about 10% to 13%. 

Chandigarh

Population

IFs forecast of Chandigarh's population is significantly less than IIASA's forecast by an increasing amount throughout the forecasts. By 2095 IFs is less than IIASA by 129%.