Introduction - Junagadh

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 Junagadh district Gujarat on wikipedia.

Summary Statistics

Total Number of Villages: 1029

Total Number of Gram Panchayat: 756

Total Number of Sub Districts: 14

Total Population : 1.83667^{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)
Bhesan	79712	7254	281	43860.09	36002.15
Junagadh	114919	12540	619	56858.53	34973.87
Keshod	118553	16408	4375	51474.46	41457.70
Kodinar	187317	30825	956	52023.02	38180.19
Malia	137461	11931	4085	51815.04	34940.93
Manavadar	86689	14865	1661	53429.95	43398.89
Mangrol	143194	17969	12256	53759.55	42094.14
Mendarda	68531	7479	188	36386.04	24521.44
Patan-Veraval	136695	17357	2802	31589.80	21030.11
Sutrapada	115836	13221	819	29180.75	17510.07
Talala	114671	9238	5560	47111.46	26178.61
Una	329949	23438	1805	91043.22	66466.11
Vanthali	82635	11816	1250	35750.59	29289.81
Visavadar	120508	9812	976	71478.76	51680.71

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	-0.0002
	(0.0004)

perc_marginalised_pop	0.059
	(0.068)

district_head_quarter_distance_in_km	-0.149^***
	(0.053)

sub_district_head_quarter_distance_in_km	-0.056
	(0.109)

nearest_statutory_town_distance_in_km	-0.022
	(0.135)

sub_district_nameJunagadh	-0.485
	(4.791)

sub_district_nameKeshod	10.565^**
	(4.850)

sub_district_nameKodinar	38.377^***
	(7.048)

sub_district_nameMalia	12.480^***
	(4.693)

sub_district_nameManavadar	-4.927
	(4.940)

sub_district_nameMangrol	28.863^***
	(4.902)

sub_district_nameMendarda	9.875^**
	(4.918)

sub_district_namePatan-Veraval	20.450^***
	(5.626)

sub_district_nameSutrapada	33.370^***
	(6.455)

sub_district_nameTalala	21.192^***
	(5.476)

sub_district_nameUna	2.885
	(8.012)

sub_district_nameVanthali	14.637^***
	(5.060)

sub_district_nameVisavadar	8.130^*
	(4.450)

Constant	51.382^***
	(4.893)


Observations	837
R²	0.273
Adjusted R²	0.257
Residual Std. Error	22.222 (df = 818)
F Statistic	17.082^*** (df = 18; 818)

Note:	p<0.1; p<0.05; p<0.01

Model Diagnostic plots

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.