Macroeconomic Indicators
Tourism
Employment/Skill Development
Power & Energy
Drinking Water, Sanitation and Food Security
Law & Order
Elected Representatives
Weather Patterns
- National Crime Records Bureau
- Census Data
Assumptions & Caveats
- The NCRB data is based on First Information Report (FIR) filed i.e. the data represents only the crimes reported. One has to be mindful of the same while drawing inferences from the data
- For inter-party comparison within a state and for intra party comparison across states, only the data points available for at least three consecutive years have been considered for analysis
- In party wise analysis, the parties have been compared with each other vis-à-vis percentage increase or decrease in crime rate during their respective tenures.
- Some of the parties/states might not be present in the analysis. This is either due to lack of data or due to lack of sufficient data to draw any meaningful inferences.
How to interpret the data
- When clicked over a particular party, all the states in which it was in power during different points of time are displayed along with the respective averages (average percentage change in crime rate).
- When clicked over a particular state, all the parties which were in power during different points of time are displayed along with the respective averages (average percentage change in crime rate).
- National Crime Records Bureau
- Census Data
Assumptions & Caveats
- The NCRB data is based on First Information Report (FIR) filed i.e. the data represents only the rapes reported. One has to be mindful of the same while drawing inferences from the data
- For inter-party comparison within a state and for intra party comparison across states, only the data points available for at least three consecutive years have been considered for analysis
- In party wise analysis, the parties have been compared with each other vis-à-vis percentage increase or decrease in rape rate during their respective tenures.
- Some of the parties/states might not be present in the analysis. This is either due to lack of data or due to lack of sufficient data to draw any meaningful inferences.
How to interpret the data
- When clicked over a particular party, all the states in which it was in power during different points of time are displayed along with the respective averages (average percentage change in rape rate).
- When clicked over a particular state, all the parties which were in power during different points of time are displayed along with the respective averages (average percentage change in rape rate).
- Planning Commission (URP Data)
Assumptions & Caveats
- For intra-party comparison within a state and for inter party comparison across states, only the data points available for at least three consecutive years have been considered for analysis
- In party wise analysis, the parties have been compared with each other vis-à-vis percentage increase or decrease in Gini Coefficient during their respective tenures. The country has a whole has improved over the years on most of the development indicators, therefore, in order to ensure a ceteris paribus scenario, the performance of a party is measured only by the percentage change brought about when it was in power
- Some of the parties/states might not be present in the analysis. This is either due to lack of data or due to lack of sufficient data to draw any meaningful inferences. The analysis is based on the Gini Coefficient data from 1990 till 2010
How to interpret the data
- As the cursor is clicked over a particular party, all the states in which it was in power during different points of time are displayed along with the respective averages (percentage change year on year)
- The heat map displays the absolute value of the metric across each of the states categorized into above, on par and below average. As the cursor is clicked over a particular state, all the parties which were in power during different points of time are displayed along with the respective averages (percentage change over the years)
- Planning Commission
Assumptions & Caveats
- For intra-party comparison within a state and for inter party comparison across states, only the data points available for at least three consecutive years have been considered for analysis
- In party wise analysis, the parties have been compared with each other vis-à-vis percentage increase or decrease in labour participation during their respective tenures. The country has a whole has improved over the years on most of the development indicators, therefore, in order to ensure a ceteris paribus scenario, the performance of a party is measured only by the percentage change brought about when it was in power
- Some of the parties/states might not be present in the analysis. This is either due to lack of data or due to lack of sufficient data to draw any meaningful inferences. The analysis is based on the labour participation rate data from 1991 till 2012
How to interpret the data
- As the cursor is clicked over a particular party, all the states in which it was in power during different points of time are displayed along with the respective averages (percentage change year on year)
- The heat map displays the absolute value of the metric across each of the states categorized into above, on par and below average. As the cursor is clicked over a particular state, all the parties which were in power during different points of time are displayed along with the respective averages (percentage change over the years)
- Planning Commission
Assumptions & Caveats
- For intra-party comparison within a state and for inter party comparison across states, only the data points available for at least three consecutive years have been considered for analysis
- In party wise analysis, the parties have been compared with each other vis-à-vis percentage increase or decrease in literacy rate during their respective tenures. The country has a whole has improved over the years on most of the development indicators, therefore, in order to ensure a ceteris paribus scenario, the performance of a party is measured only by the percentage change brought about when it was in power
- Some of the parties/states might not be present in the analysis. This is either due to lack of data or due to lack of sufficient data to draw any meaningful inferences. The analysis is based on the literacy rate data from 1990 till 2011
How to interpret the data
- As the cursor is clicked over a particular party, all the states in which it was in power during different points of time are displayed along with the respective averages (percentage change year on year)
- The heat map displays the absolute value of the metric across each of the states categorized into above, on par and below average. As the cursor is clicked over a particular state, all the parties which were in power during different points of time are displayed along with the respective averages (percentage change over the years)
- Planning Commission
Assumptions & Caveats
- For intra-party comparison within a state and for inter party comparison across states, only the data points available for at least three consecutive years have been considered for analysis
- In party wise analysis, the parties have been compared with each other vis-à-vis average of year-on-year growth rates during their respective tenures.
- Some of the parties/states might not be present in the analysis. This is either due to lack of data or due to lack of sufficient data to draw any meaningful inferences.
How to interpret the data
- As the cursor is clicked over a particular party, all the states in which it was in power during different points of time are displayed along with the respective averages (average agricultural growth rate)
- As the cursor is clicked over a particular state, all the parties which were in power during different points of time are displayed along with the respective averages (average agricultural growth rate).
- Planning Commission
- Ministry of Human Resource Development
Assumptions & Caveats
- The state rating is a measure of the overall expenditure on enrolment of students across levels of education relative to the average national expenditure on the enrolment in a particular year. A rating of greater than 1 indicates that the corresponding state has managed to spend a lesser amount as compared to the average national expenditure, thereby indicating a higher level of efficiency in expenditure on student enrolment across levels. Whereas a rating of less than 1 indicates that the state is spending more on enrolment when compared to the average national expenditure on enrolment
- In party wise analysis, the parties have been compared with each other vis-à-vis percentage increase or decrease in average rating during their respective tenures. The country has a whole has improved over the years on most of the development indicators, therefore, in order to ensure a ceteris paribus scenario, the performance of a party is measured only by the percentage change brought about when it was in power
- Some of the parties/states might not be present in the analysis. This is either due to lack of data or due to lack of sufficient data to draw any meaningful inferences. The analysis is based on the Expenditure Efficiency data from 2001 till 2010
How to interpret the data
- As the cursor is clicked over a particular party, all the states in which it was in power during different points of time are displayed along with the respective averages (percentage change year on year)
- The heat map displays the absolute value of the metric across each of the states categorized into above, on par and below average. As the cursor is clicked over a particular state, all the parties which were in power during different points of time are displayed along with the respective averages (percentage change over the years)
- Planning Commission
- Ministry of Human Resource Development
Assumptions & Caveats
- The average rating has been arrived at by considering the deviation from norms in each of primary, middle and secondary. A higher score indicates better pupil-teacher ratio vis-à-vis the norms
Section | Admitted Children | Teachers | PTR – Upper Limit | Weight Assumptions | Overall |
Primary | <=60 | 2 | 30 | 0.05 | 37 |
61<=x<=90 | 3 | 30 | 0.1 | ||
91<=x<=120 | 4 | 30 | 0.15 | ||
121<=x<=200 | 5 | 40 | 0.2 | ||
x>=200 | 40 | 0.5 | |||
Middle | 35 | ||||
Secondary | 30 |
- In party wise analysis, the parties have been compared with each other vis-à-vis percentage increase or decrease in average rating during their respective tenures. The country has a whole has improved over the years on most of the development indicators, therefore, in order to ensure a ceteris paribus scenario, the performance of a party is measured only by the percentage change brought about when it was in power.
- Some of the parties/states might not be present in the analysis. This is either due to lack of data or due to lack of sufficient data to draw any meaningful inferences. The analysis is based on the PTR rate data from 2001 till 2010
How to interpret the data
- As the cursor is clicked over a particular party, all the states in which it was in power during different points of time are displayed along with the respective averages (percentage change year on year)
- The heat map displays the absolute value of the metric across each of the states categorized into above, on par and below average. As the cursor is clicked over a particular state, all the parties which were in power during different points of time are displayed along with the respective averages (percentage change over the years)
- Planning Commission
- Ministry of Human Resource Development
Assumptions & Caveats
- The average rating has been arrived at by considering the individual GERs of Primary, Middle, Secondary and Senior Secondary, and Higher education with the following weightages:
Rating Weights | If all available | If Higher Education = NA |
Primary | 0.5 | 0.55 |
Middle | 0.25 | 0.3 |
Secondary & Senior Secondary | 0.15 | 0.15 |
Higher Education | 0.1 |
Primary Stage has been given maximum weightage due to majority of Education Schemes and government funding is targeted at this stage
- In party wise analysis, the parties have been compared with each other vis-à-vis percentage increase or decrease in GER rating during their respective tenures. The country has a whole has improved over the years on most of the development indicators, therefore, in order to ensure a ceteris paribus scenario, the performance of a party is measured only by the percentage change brought about when it was in power
- Some of the parties/states might not be present in the analysis. This is either due to lack of data or due to lack of sufficient data to draw any meaningful inferences. The analysis is based on the GER data from 2001 till 2010
How to interpret the data
- As the cursor is clicked over a particular party, all the states in which it was in power during different points of time are displayed along with the respective averages (percentage change year on year)
- The heat map displays the absolute value of the metric across each of the states categorized into above, on par and below average. As the cursor is clicked over a particular state, all the parties which were in power during different points of time are displayed along with the respective averages (percentage change over the years)
- Rural Health Statistics published by Ministry of Health & Family Welfare
- Census Data
Assumptions & Caveats
- The following are the norms as per Rural Health Statistics:
PHC | 20000-30000 population per PHC |
CHC | 80000-120000 population per CHC |
- Some of the states might not be represented in the analysis. This is either due to lack of data or due to lack of sufficient data to draw any meaningful inferences.
How to interpret the data
- When clicked over a particular state, all the parties which were in power during different points of time are displayed along with the respective averages (average percentage change in ratios).
- Planning Commission
Assumptions & Caveats
- For inter party comparison within a state and for intra party comparison across states, only the data points available for at least three consecutive years have been considered for analysis
- Some of the states might not be represented in the analysis. This is either due to lack of data or due to lack of sufficient data to draw any meaningful inferences.
How to interpret the data
- When clicked over a particular party, all the states in which it was in power during different points of time are displayed along with the respective averages (average percentage change in IMR)
- When clicked over a particular state, all the parties which were in power during different points of time are displayed along with the respective averages (average percentage change in IMR)./li>
- Annual Survey of Industries by Ministry of Statistics and Programme Implementation
Assumptions & Caveats
- For intra-party comparison within a state and for inter party comparison across states, only the data points available for at least three consecutive years have been considered for analysis
- Some of the states might not be present in the analysis. This is either due to lack of data or due to lack of sufficient data to draw any meaningful inferences.
- In party wise analysis, the parties have been compared with each other vis-à-vis percentage change in manufacturing jobs during their respective tenures.
How to interpret the data
- As the cursor is clicked over a particular party, all the states in which it was in power during different points of time are displayed along with the respective averages (percentage change year on year)
- As the cursor is clicked over a particular state, all the parties which were in power during different points of time are displayed along with the respective averages (percentage change year on year).
- RBI Database
Assumptions & Caveats
- For intra-party comparison within a state and for inter party comparison across states, only the data points available for at least three consecutive years have been considered for analysis
- In party wise analysis, the parties have been compared with each other vis-à-vis change in percentage points in Fiscal Deficit during their respective tenures.
- Some of the states might not be present in the analysis. This is either due to lack of data or due to lack of sufficient data to draw any meaningful inferences.
How to interpret the data
- As the cursor is clicked over a particular party, all the states in which it was in power during different points of time are displayed along with the respective averages (Improvement in Fiscal Deficit in percentage points)
- As the cursor is clicked over a particular state, all the parties which were in power during different points of time are displayed along with the respective averages (Improvement in Fiscal Deficit in percentage points).
- Reserve Bank of India database
Assumptions & Caveats
- For intra-party comparison within a state and for inter party comparison across states, only the data points available for at least three consecutive years have been considered for analysis
- In party wise analysis, the parties have been compared with each other vis-à-vis percentage change in total food grains production during their respective tenures.
- Some of the parties/states might not be present in the analysis. This is either due to lack of data or due to lack of sufficient data to draw any meaningful inferences.
How to interpret the data
- As the cursor is clicked over a particular party, all the states in which it was in power during different points of time are displayed along with the respective averages (year-on-year percentage change in total food grains production)
- As the cursor is clicked over a particular state, all the parties which were in power during different points of time are displayed along with the respective averages (year-on-year percentage change in total food grains production).
- Agricultural Statistics
Assumptions & Caveats
- For intra-party comparison within a state and for inter party comparison across states, only the data points available for at least three consecutive years have been considered for analysis
- In party wise analysis, the parties have been compared with each other vis-à-vis percentage change in food grains yield during their respective tenures..
- Some of the parties/states might not be present in the analysis. This is either due to lack of data or due to lack of sufficient data to draw any meaningful inferences.
How to interpret the data
- As the cursor is clicked over a particular party, all the states in which it was in power during different points of time are displayed along with the respective averages (year-on-year percentage change in food grains yield))
- As the cursor is clicked over a particular state, all the parties which were in power during different points of time are displayed along with the respective averages (year-on-year percentage change in food grains yield)).
- Central Electricity Authority
Assumptions & Caveats
- For intra-party comparison within a state and for inter party comparison across states, only the data points available for at least three consecutive years have been considered for analysis
- In party wise analysis, the parties have been compared with each other vis-à-vis percentage increase or decrease in Power Capacity during their respective tenures
- Some of the parties/states might not be present in the analysis. This is either due to lack of data or due to lack of sufficient data to draw any meaningful inferences. The analysis is based on Total Installed Power Capacity from 1990 till 2012
How to interpret the data
- As the cursor is clicked over a particular party, all the states in which it was in power during different points of time are displayed along with the respective averages (Percentage change in Installed Power Capacity)
- The heat map displays the percentage change in Installed Power Capacity across each of the states categorized into above, on par and below average. As the cursor is clicked over a particular state, all the parties which were in power during different points of time are displayed along with the respective averages
- Central Electricity Authority
Assumptions & Caveats
- For intra-party comparison within a state and for inter party comparison across states, only the data points available for at least three consecutive years have been considered for analysis
- In party wise analysis, the parties have been compared with each other vis-à-vis percentage change in per-capita power consumption during their respective tenures
- Some of the states might not be present in the analysis. This is either due to lack of data or due to lack of sufficient data to draw any meaningful inferences.
How to interpret the data
- As the cursor is clicked over a particular party, all the states in which it was in power during different points of time are displayed along with the respective averages (Year-on-year percentage change in per-capita power consumption).
- As the cursor is clicked over a particular state, all the parties which were in power during different points of time are displayed along with the respective averages (Year-on-year Percentage change in per-capita power consumption).
- Central Electricity Authority
Assumptions & Caveats
- Factors like natural calamities and/or central funding under schemes like Rajiv Gandhi Grameen Vidyutikaran Yojana tend to have an effect on decrease on increase in percentage of villages electrified in a given year. One needs to be mindful of the same before drawing inferences from the data
- Inter party comparison has not been shown for states which are 100% electrified
- For inter party comparison within a state and for intra-party comparison across states, only the data points available for at least three consecutive years have been considered for analysis
- Some of the states might not be present in the analysis. This is either due to lack of data or due to lack of sufficient data to draw any meaningful inferences
How to interpret the data
- As the cursor is clicked over a particular party, all the states in which it was in power during different points of time are displayed along with the respective averages (change in percentage points)
- As the cursor is clicked over a particular state, all the parties which were in power during different points of time are displayed along with the respective averages (change in percentage points)
- Planning Commission
Assumptions & Caveats
- For intra-party comparison within a state and for inter party comparison across states, only the data points available for at least three consecutive years have been considered for analysis
- In party wise analysis, the parties have been compared with each other vis-à-vis average of year-on-year growth rates during their respective tenures.
- Some of the parties/states might not be present in the analysis. This is either due to lack of data or due to lack of sufficient data to draw any meaningful inferences.
How to interpret the data
- As the cursor is clicked over a particular party, all the states in which it was in power during different points of time are displayed along with the respective averages (average GSDP growth rate)
- As the cursor is clicked over a particular state, all the parties which were in power during different points of time are displayed along with the respective averages (average GSDP growth rate).