The present study deals with the development disparities in districts of Haryana according to their level of development. The study utilized data over three points of time, viz. 1991-92, 2001-02, and 2011-12. Assessment of development in agricultural, industrial, infrastructural and socio-economic sectors has been studied using composite indices based on forty indicators. Out of the forty indicators, 19 were directly concerned with agricultural development, 4, 8 and 9 respectively reflected the progress of development in industrial, infrastructural, and socio-economic sectors. Sector-wise indices were combined to obtain weighted index for the overall development. The study indicated wide disparities in level of development among districts of Haryana in all the periods of study.The district of Mahendragarh lagged behind in almost all the sectors considered for this study. The districts of Faridabad and Gurgaon lagged behind in agriculture while the district of Karnal excelled in agriculture in all the three periods. The districts of Ambala, Faridabad and Gurgaon ranked first in overall development in 1991-92, 2001-02 and 2011-12, respectively, whereas Mahendragarh ranked last in 1991-92 and 2001-02 and the newly formed district Mewat in 2011-12. Spearman’s rank correlation was used to study relationships among sectoral developments. Kruskal Wallis test indicated significant changes in development level of industry and infrastructure sectors over the periods 1991-92, 2001-02 and 2011-12.

The present study has been undertaken to fit best probability distribution of rainfall in Ambala District of Haryana State. The analysis showed that the maximum daily rainfall among the years ranged between 41mm (1980) to 307.9mm (2009) indicating a very large variation during the period of study. The mean of maximum daily rainfall of all years annually is 112.13mm. The means of monthly and weekly values ranged from 33.10-88.92mm and 8.77- 46.28 mm, respectively. The maximum daily rainfall in a year/monsoon season was307.9 mm and monthly maximum daily rainfall in monsoon season ranged from 105 -307.9mm. The weekly maximum daily rainfall ranged from48 mm-307.9 mm. It was also observed that the minimum among the maximum daily rainfall was 41mm for annual, 34mm for season and 0 in all the months and weeks. The maximum value of coefficient of variation was observed in the first week which indicated a large fluctuation in the rainfall data set and minimum value of coefficient of variation 0.464 was observed for the whole year which shows that fluctuation was minimum for the whole year. Generalized extreme value distribution was found to be best fit probability distribution for most of the periods.

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The present study is an attempt towards identification of principal agricultural and socioeconomic dimensions in Haryana using principal component analysis (PCA) and canonical correlation analysis techniques. Principal component analysis transforms the original set of variables into a smaller set of linear combinations that account for most of the variation of the original data whereas canonical correlation analysis determines pairs of canonical variates which are orthogonal linear combinations of the variables within each set that best explain the variability both within and between sets. Canonical correlation analysis also identifies and measures the strength of relationships between two vectors of variables measured on the same individuals. The study was conducted for three periods i.e. 1991-92, 2001-02 and 2011-12. The district was considered as the unit of analysis and analysis is based on 19 indicators from the agriculture sector and 9 indicators from the socioeconomic sector. The first principal component (PC) of agriculture sector represents the overall level of agriculture and livestock with 42.07, 28.71, and 28.01 per cent of the total variation in periods Original Research Article