District Level Report Kheda

Author

Ayush Patel

Published

August 23, 2022

Introduction - Kheda

This report aims to provide a birds eye view of the district through the lens of village amenities data released by census in 2011. Before moving towards the descriptive insights from the census data, here is what pops up when a search is executed for Kheda district Gujarat on wikipedia.



Summary Statistics

Total Number of Villages: 618

Total Number of Gram Panchayat: 521

Total Number of Sub Districts: 10

Total Population : 1.776276^{6}

Statistical Summaries at the subdistrict level

Sub District Total Population Total SC Population Total ST Population Total Area of Vilalges Total Area Sown (Net)
Balasinor 106493 7392 2359 27918.74 19804.19
Kapadvanj 223860 12392 2763 63835.63 51445.91
Kathlal 186555 4864 754 32874.18 26933.74
Kheda 102587 10085 6465 27931.75 20990.81
Mahudha 114838 3880 1305 23417.18 17881.91
Matar 162800 8098 1737 38600.80 31694.60
Mehmedabad 220610 7682 1142 37932.68 31331.20
Nadiad 267797 9827 2628 34281.16 28574.16
Thasra 300681 17023 7845 63285.91 47532.00
Virpur 90055 5551 277 23885.61 14764.66

Population and Geographical Area

It is of interest to look into which are the most densely populated villages. We can do this by creating a simple scatter plot between population of village and the total geographical area of a village.


Irrigation for Agriculture

The census provides the net area sown (hectares) in a village along with area irrigated with water source in hectares. The area under irrigation may be affected by several factors.

Area Sown vs Area under Irrigation


A distribution for the percentage of area irrigated will be interesting to look at.

Understanding what drives area under irrigation

Much is heard about rain fed agriculture in India. There are several factors that can affect area under irrigation - ranging from government supports, demographics, distance from urban clusters and several known and unknown variables. With the given data we can check if the following variables have any relation with area under irrigation:

  • Percentage of Marginalised group population in village
  • Distance from Major government offices
  • Distance from urban center
  • Total population of a village

A simple Linear regression to see if the above explanation has any merit

Dependent variable:
perc_irrigated_over_net_sown
total_population_of_village -0.001*
(0.0004)
perc_marginalised_pop -0.091
(0.126)
district_head_quarter_distance_in_km -0.058
(0.087)
sub_district_head_quarter_distance_in_km -0.080
(0.232)
nearest_statutory_town_distance_in_km 0.050
(0.255)
sub_district_nameKapadvanj 1.385
(4.713)
sub_district_nameKathlal -6.056
(5.957)
sub_district_nameKheda 23.986***
(7.868)
sub_district_nameMahudha 44.258***
(7.093)
sub_district_nameMatar 30.122***
(7.262)
sub_district_nameMehmedabad 23.597***
(6.661)
sub_district_nameNadiad 45.609***
(7.638)
sub_district_nameThasra 24.790***
(5.044)
sub_district_nameVirpur 1.041
(5.499)
Constant 47.608***
(7.402)
Observations 614
R2 0.407
Adjusted R2 0.393
Residual Std. Error 22.261 (df = 599)
F Statistic 29.378*** (df = 14; 599)
Note: p<0.1; p<0.05; p<0.01

Model Diagnostic plots

Distribution of Redsiduals


Residuals vs Fitted

Note

This is to serve as a minimal example of creating parameterised reports with .rmd/.qmd files. This document is in no way analytically or statistically rigorous.