User:Engineering Guy/sandbox

All rated articles by quality and importance
Quality	Importance
	Top	High	Mid	Low	???	Total
FA	1,577	2,506	2,420	1,964	181	8,648
FL	181	688	768	703	100	2,440
A	371	680	788	583	91	2,513
GA	3,250	7,388	14,833	19,759	1,759	46,989
B	17,021	33,045	54,777	70,157	23,564	198,564
C	17,023	54,475	136,356	314,425	92,733	615,012
Start	18,531	92,562	417,449	1,637,083	414,546	2,580,171
Stub	4,269	31,389	277,681	2,810,130	762,320	3,885,789
List	4,915	17,308	54,493	198,167	72,338	347,221
Assessed	67,138	240,041	959,565	5,052,971	1,367,632	7,687,347
Unassessed	122	482	1,239	16,778	402,424	421,045
Total	67,260	240,523	960,804	5,069,749	1,770,056	8,108,392

Graduate Aptitude Test in Engineering - Past years' statistics

The total number of candidates appearing in GATE (across all subjects) increased till 2013. In 2014, it decreased slightly.

Total number of candidates appearing in GATE

Year	Number of candidates appearing
2014	889,156
2013	984,855
2012	686,614
2011	553,000
2010	414,000
2009	230,000
2008	180,000

Year	Total number of candidates appearing	Reference(s)
2014	889,156
2013	984,855
2012	686,614
2011	Approximately 553,000 *
2010	Approximately 414,000 *
2009	Approximately 230,000 *
2008	Approximately 170,000 to 180,000 *

^* Precise figures unavailable right now.

The following line chart shows the variation of the number of candidates appeared in the top 5 subjects, since GATE 2010:

  Electronics and Communication Engineering (EC)

  Computer Science and Information Technology (CS)

  Mechanical Engineering (ME)

  Electrical Engineering (EE)

  Civil Engineering (CE)

  All other subjects

Some information about the winners of Indian general election, 2014

Non-governmental organisations Association for Democratic Reforms and National Election Watch analysed the candidates' sworn affidavits submitted to the Election Commission of India, and presented the following and other details in their reports.

Criminal background

Case-wise distribution of the 542 winners in the Lok Sabha election, 2014.

  With serious criminal cases (20.66%)

  With non-serious criminal cases (13.47%)

  Without any criminal cases (65.87%)

About one-third of all winners have at least one criminal case, with some having serious criminal cases.

A candidate with criminal case(s) had 13% chance of winning the election, whereas a candidate with a clean record had only 5% chance of winning. (Here, chance of winning = ⁠No. of winners in the category/ Total no. of candidates in that category⁠.)

Political party	Total no. of winners	No. of winners with criminal cases	Percentage of winners with criminal cases	No. of winners with serious criminal cases*	Percentage of winners with serious criminal cases*
Bharatiya Janata Party	281	97	35%	61	22%
Indian National Congress	44	8	18%	3	7%
AIADMK	37	6	16%	3	8%
Shiv Sena	18	15	83%	8	44%
All India Trinamool Congress	34	7	21%	4	12%
Others	128	52	41%	33	26%
Total	542	185	34%	112	21%

^* Criteria for "serious" criminal cases:

1. Offence for which maximum punishment is of 5 years or more.
2. If an offence is non-bailable.
3. If it is an electoral offence (for eg. IPC 171E or bribery).
4. Offence related to loss to exchequer.
5. Offences that are assault, murder, kidnap, rape related.
6. Offences that are mentioned in Representation of the People Act (Section 8).
7. Offences under Prevention of Corruption Act.
8. Crimes against women.

Compared to the 2009 Lok Sabha elections, there is an increase of winners with criminal cases. In 2009, 158 (30%) of the 521 winners analysed had criminal cases, of which 77 (15%) had serious criminal cases.

Financial background

Asset-wise distribution of the 542 winners in the Lok Sabha election, 2014.

  Assets > ₹ 100 million (24.35%)

  Assets between ₹ 50 million and ₹ 100 million (12.92%)

  Assets between ₹ 10 million and ₹ 50 million (44.46%)

  Assets < ₹ 10 million (18.27%)

Out of the 542 winners analysed, 443 (82%) are having assets of ₹ 10 million or more. In the 2009 Lok Sabha election, out of 521 winners analysed, 300 (58%) winners had assets of ₹ 10 million or more.

The average assets per winner are ₹ 147 million (in 2009, this figure was ₹ 53.5 million). The average assets per candidate are ₹ 31.6 million.

Asset range	No. of candidates	No. of winners	Percentage of candidates that won
More than ₹ 100 million	450	132	29%
₹ 50 million to ₹ 100 million	320	70	22%
₹ 10 million to ₹ 50 million	1443	241	17%
Less than ₹ 10 million	6038	99	2%
Total	8251	542	7%

Political party	No. of winners	Average assets per winner
Bharatiya Janata Party	281	₹ 115.9 million
Indian National Congress	44	₹ 167.1 million
AIADMK	37	₹ 64.7 million
All India Trinamool Congress	34	₹ 25.1 million
Others	146	₹ 250.0 million
Total	542	₹ 147.0 million

Other details

Education-wise distribution of the 542 members in the 16th Lok Sabha.

  Class 12 pass and below (23%)

  Graduate and above (75%)

  Other (2%)

Age-wise distribution of the 542 members in the 16th Lok Sabha.

  25 to 50 years (37%)

  51 to 70 years (55%)

  71 years and older (8%)

Gender-wise distribution of the 542 members in the 16th Lok Sabha.

  Male (89%)

  Female (11%)

Education	Number of members
Illiterate	1
Class 12 or below	126
Graduate or above	405

Age range	Number of members
15 to 50 years	203
51 to 70 years	298
71 years or older	41

Gender	Number of members
Female	62
Male	480

Wikipedia statistics

Language editions

Distribution of the 63,987,105 articles in different language editions (as of 22 November 2024)

  English (10.8%)

  Cebuano (9.6%)

  German (4.6%)

  French (4.1%)

  Swedish (4.1%)

  Dutch (3.4%)

  Russian (3.1%)

  Spanish (3.1%)

  Italian (3%)

  Polish (2.6%)

  Other (51.6%)

Articles in the 20 largest language editions of Wikipedia
(as of 22 November 2024)

1		2		3		4		5		6		7
English 6,914,399 Cebuano 6,116,889 German 2,961,288 French 2,648,621 Swedish 2,597,865 Dutch 2,172,288 Russian 2,011,042 Spanish 1,991,018 Italian 1,892,256 Polish 1,635,738 Egyptian Arabic 1,625,562 Chinese 1,451,793 Japanese 1,437,865 Ukrainian 1,354,031 Vietnamese 1,294,137 Waray 1,266,606 Arabic 1,246,204 Portuguese 1,138,404 Persian 1,019,718 Catalan 763,575

Assessment of articles' quality and importance

Quality-wise distribution of over 4.8 million articles and lists on the English Wikipedia, as of 27 February 2015

  Featured articles (0.11%)

  Featured lists (0.04%)

  A class (0.03%)

  Good articles (0.48%)

  B class (2.05%)

  C class (3.98%)

  Start class (25.69%)

  Stub class (54.07%)

  Lists (3.49%)

  Unassessed (10.07%)

Importance-wise distribution of over 4.8 million articles and lists on the English Wikipedia, as of 27 February 2015

  Top importance (0.91%)

  High importance (3.21%)

  Mid importance (12.31%)

  Low importance (49.24%)

  ??? (34.34%)

All rated articles by quality and importance Quality Importance Top High Mid Low ??? Total FA 1,577 2,506 2,420 1,964 181 8,648 FL 181 688 768 703 100 2,440 A 371 680 788 583 91 2,513 GA 3,250 7,388 14,833 19,759 1,759 46,989 B 17,021 33,045 54,777 70,157 23,564 198,564 C 17,023 54,475 136,356 314,425 92,733 615,012 Start 18,531 92,562 417,449 1,637,083 414,546 2,580,171 Stub 4,269 31,389 277,681 2,810,130 762,320 3,885,789 List 4,915 17,308 54,493 198,167 72,338 347,221 Assessed 67,138 240,041 959,565 5,052,971 1,367,632 7,687,347 Unassessed 122 482 1,239 16,778 402,424 421,045 Total 67,260 240,523 960,804 5,069,749 1,770,056 8,108,392 About this table

500,000

1,000,000

1,500,000

2,000,000

2,500,000

3,000,000

Top importance

High importance

Mid-importance

Low importance

???

•   Featured articles
•   Featured lists
•   A-class articles
•   Good articles
•   B-class articles
•   C-class articles
•   Start-class articles
•   Stub articles
•   Lists
•   Unassessed articles and lists

[Note: The table above (prepared by the Wikipedia Version 1.0 Editorial Team) is automatically updated, but the bar-chart and the two pie-charts are not auto-updated. In them, new data has to be entered by a Wikipedia editor (i.e. user).]