Compare · Albert Ekka(Jari) block, Gumla · Census 2011

Villages of Albert Ekka(Jari), side by side

51 villages of Albert Ekka(Jari) block have Census 2011 figures. Every one is in the table below with its rank in the block; tick any two to five to compare them in detail, or compare one with any village in India.

Compare Sikri and Gobindpur, the two largest →

The typical village of Albert Ekka(Jari), next to the district's

Median ranked village of the block on each measure, with the median for Gumla district beside it. Each is a real village's recorded figure.

Median population54151 villages of Albert Ekka(Jari) block · Gumla district median: 765

Median households8951 villages of Albert Ekka(Jari) block · Gumla district median: 136

Median literacy rate (%)72.9%51 villages of Albert Ekka(Jari) block · Gumla district median: 62.9%

Median sex ratio (per 1,000 males)969 per 1,000 males51 villages of Albert Ekka(Jari) block · Gumla district median: 994 per 1,000 males

Median household size (per household)5.90 per household51 villages of Albert Ekka(Jari) block · Gumla district median: 5.42 per household

Median population density (per km²)137.7 per km²51 villages of Albert Ekka(Jari) block · Gumla district median: 180.5 per km²

Median work participation (%)52.5%51 villages of Albert Ekka(Jari) block · Gumla district median: 50.7%

Jharkhand medians: population 545 · households 104 · literacy rate 59.9% · sex ratio 965 per 1,000 males · household size 5.19 per household · population density 339.1 per km² · work participation 46.3%.

All 51 ranked villages of Albert Ekka(Jari)

Largest first. “—” means the Census has no figure for that village on that measure, so it is not ranked there (never zero).

Tick two to 5 villages. Small figures are the village's rank in the block on that measure.

Village	Population	Households	Literacy rate %	Sex ratio per 1,000 males	Household size per household	Work participation %
Sikri	2,627#1 of 51	456#1 of 51	66.2%#39 of 51	934 per 1,000 males#29 of 51	5.76 per household#29 of 51	44.3%#40 of 51
Gobindpur	1,877#2 of 51	302#2 of 51	62.0%#45 of 51	929 per 1,000 males#32 of 51	6.22 per household#17 of 51	44.3%#40 of 51
Tigra	1,242#3 of 51	234#3 of 51	71.3%#29 of 51	888 per 1,000 males#46 of 51	5.31 per household#44 of 51	34.9%#48 of 51
Miral	1,173#4 of 51	206#4 of 51	71.1%#30 of 51	1,009 per 1,000 males#16 of 51	5.69 per household#32 of 51	61.9%#10 of 51
Jarda	1,075#5 of 51	188#5 of 51	77.4%#18 of 51	1,021 per 1,000 males#11 of 51	5.72 per household#31 of 51	59.4%#14 of 51
Pulung	1,016#6 of 51	170#6 of 51	81.3%#9 of 51	917 per 1,000 males#37 of 51	5.98 per household#21 of 51	57.7%#17 of 51
Saktar	906#7 of 51	153#9 of 51	74.7%#24 of 51	919 per 1,000 males#35 of 51	5.92 per household#23 of 51	78.6%#3 of 51
Asro	871#8 of 51	125#15 of 51	76.3%#21 of 51	931 per 1,000 males#31 of 51	6.97 per household#7 of 51	50.4%#32 of 51
Kokdih	844#9 of 51	130#14 of 51	82.9%#7 of 51	1,054 per 1,000 males#7 of 51	6.49 per household#12 of 51	46.8%#39 of 51
Jari	841#10 of 51	158#7 of 51	67.3%#36 of 51	903 per 1,000 males#43 of 51	5.32 per household#43 of 51	51.1%#30 of 51
Banjhar	819#11 of 51	133#13 of 51	66.3%#38 of 51	983 per 1,000 males#20 of 51	6.16 per household#19 of 51	53.6%#24 of 51
Barwadih	788#12 of 51	156#8 of 51	69.4%#34 of 51	908 per 1,000 males#41 of 51	5.05 per household#48 of 51	61.3%#11 of 51
Katimba	768#13 of 51	123#16 of 51	62.2%#44 of 51	1,043 per 1,000 males#9 of 51	6.24 per household#16 of 51	61.1%#12 of 51
Sisikaramtoli	749#14 of 51	147#10 of 51	77.3%#19 of 51	916 per 1,000 males#38 of 51	5.10 per household#47 of 51	57.7%#17 of 51
Santra Alias Srinagar	733#15 of 51	135#12 of 51	78.9%#15 of 51	894 per 1,000 males#45 of 51	5.43 per household#42 of 51	55.1%#21 of 51
Parsa	731#16 of 51	140#11 of 51	52.8%#49 of 51	909 per 1,000 males#40 of 51	5.22 per household#45 of 51	52.0%#27 of 51
Rudarpur	683#17 of 51	112#17 of 51	77.4%#17 of 51	929 per 1,000 males#32 of 51	6.10 per household#20 of 51	46.9%#38 of 51
Hariharpur	625#18 of 51	93#23 of 51	81.2%#10 of 51	978 per 1,000 males#22 of 51	6.72 per household#8 of 51	75.0%#5 of 51
Kori	619#19 of 51	112#17 of 51	80.6%#11 of 51	1,003 per 1,000 males#17 of 51	5.53 per household#39 of 51	67.9%#7 of 51
Betri	610#20 of 51	111#19 of 51	58.4%#48 of 51	961 per 1,000 males#27 of 51	5.50 per household#40 of 51	41.3%#44 of 51
Dhobri	606#21 of 51	96#21 of 51	63.2%#42 of 51	1,068 per 1,000 males#5 of 51	6.31 per household#14 of 51	52.5%#26 of 51
Koda	597#22 of 51	78#33 of 51	80.4%#12 of 51	1,003 per 1,000 males#17 of 51	7.65 per household#3 of 51	49.4%#35 of 51
Kitam	561#23 of 51	101#20 of 51	71.9%#28 of 51	1,011 per 1,000 males#14 of 51	5.55 per household#37 of 51	68.6%#6 of 51
Barkadih	554#24 of 51	89#26 of 51	66.5%#37 of 51	853 per 1,000 males#48 of 51	6.22 per household#17 of 51	37.9%#46 of 51
Debidih	549#25 of 51	92#24 of 51	84.7%#5 of 51	954 per 1,000 males#28 of 51	5.97 per household#22 of 51	54.1%#23 of 51
Pakartoli	541#26 of 51	96#21 of 51	64.5%#41 of 51	1,155 per 1,000 males#1 of 51	5.64 per household#34 of 51	63.8%#8 of 51
Ponri	530#27 of 51	84#30 of 51	79.3%#14 of 51	970 per 1,000 males#25 of 51	6.31 per household#14 of 51	85.7%#1 of 51
Bumtel	513#28 of 51	87#27 of 51	67.4%#35 of 51	973 per 1,000 males#24 of 51	5.90 per household#26 of 51	37.2%#47 of 51
Bardih	486#29 of 51	87#27 of 51	72.8%#27 of 51	1,150 per 1,000 males#2 of 51	5.59 per household#36 of 51	83.1%#2 of 51
Amgaon	461#30 of 51	83#31 of 51	87.7%#2 of 51	996 per 1,000 males#19 of 51	5.55 per household#37 of 51	54.9%#22 of 51
Dumartoli	449#31 of 51	92#24 of 51	73.9%#25 of 51	911 per 1,000 males#39 of 51	4.88 per household#50 of 51	42.5%#42 of 51
Tilhaitoli	446#32 of 51	86#29 of 51	70.0%#32 of 51	1,018 per 1,000 males#12 of 51	5.19 per household#46 of 51	60.1%#13 of 51
Banrotoli	394#33 of 51	72#34 of 51	65.4%#40 of 51	867 per 1,000 males#47 of 51	5.47 per household#41 of 51	47.5%#37 of 51
Hutar	390#34 of 51	79#32 of 51	29.9%#51 of 51	1,086 per 1,000 males#4 of 51	4.94 per household#49 of 51	62.1%#9 of 51
Panchi	345#35 of 51	49#37 of 51	72.9%#26 of 51	927 per 1,000 males#34 of 51	7.04 per household#5 of 51	49.9%#34 of 51
Sarangadih	345#35 of 51	53#36 of 51	71.0%#31 of 51	1,066 per 1,000 males#6 of 51	6.51 per household#11 of 51	55.7%#20 of 51
Bhikhampur	339#37 of 51	40#43 of 51	86.1%#3 of 51	1,042 per 1,000 males#10 of 51	8.48 per household#2 of 51	57.8%#16 of 51
Dumartoli	336#38 of 51	48#38 of 51	85.3%#4 of 51	976 per 1,000 males#23 of 51	7.00 per household#6 of 51	57.7%#17 of 51
Jarmana	317#39 of 51	54#35 of 51	59.9%#46 of 51	969 per 1,000 males#26 of 51	5.87 per household#27 of 51	48.3%#36 of 51
Harratoli	303#40 of 51	35#46 of 51	76.3%#20 of 51	772 per 1,000 males#50 of 51	8.66 per household#1 of 51	31.4%#50 of 51
Birkera	297#41 of 51	41#41 of 51	94.0%#1 of 51	980 per 1,000 males#21 of 51	7.24 per household#4 of 51	33.0%#49 of 51
Jadunathpur	274#42 of 51	43#40 of 51	62.4%#43 of 51	768 per 1,000 males#51 of 51	6.37 per household#13 of 51	59.1%#15 of 51
Tetardanr	272#43 of 51	41#41 of 51	82.5%#8 of 51	1,015 per 1,000 males#13 of 51	6.63 per household#10 of 51	52.9%#25 of 51
Rengnitoli	267#44 of 51	40#43 of 51	83.1%#6 of 51	907 per 1,000 males#42 of 51	6.68 per household#9 of 51	18.7%#51 of 51
Tetartoli	260#45 of 51	44#39 of 51	80.0%#13 of 51	1,047 per 1,000 males#8 of 51	5.91 per household#25 of 51	41.5%#43 of 51
Chatakpur	207#46 of 51	36#45 of 51	78.4%#16 of 51	1,010 per 1,000 males#15 of 51	5.75 per household#30 of 51	76.3%#4 of 51
Bichhra	170#47 of 51	30#48 of 51	59.4%#47 of 51	932 per 1,000 males#30 of 51	5.67 per household#33 of 51	51.8%#28 of 51
Aunratoli	163#48 of 51	28#49 of 51	69.5%#33 of 51	811 per 1,000 males#49 of 51	5.82 per household#28 of 51	51.5%#29 of 51
Khuntitoli	151#49 of 51	33#47 of 51	41.7%#50 of 51	1,127 per 1,000 males#3 of 51	4.58 per household#51 of 51	50.3%#33 of 51
Togo	135#50 of 51	24#50 of 51	76.2%#22 of 51	901 per 1,000 males#44 of 51	5.63 per household#35 of 51	40.7%#45 of 51
Chirodih	71#51 of 51	12#51 of 51	75.0%#23 of 51	919 per 1,000 males#35 of 51	5.92 per household#23 of 51	50.7%#31 of 51

Ranks are computed from Census of India 2011 figures among villages that report them; ties share a rank; a missing figure means no rank, never zero. “Higher first” is the sort order, not a judgement. How every figure and rank is computed →

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