User:Engineering Guy/sandbox

All rated articles by quality and importance
Quality	Importance
	Top	High	Mid	Low	???	Total
FA	1,577	2,505	2,419	1,961	181	8,643
FL	181	688	768	703	100	2,440
A	371	681	788	584	91	2,515
GA	3,247	7,386	14,819	19,735	1,761	46,948
B	17,004	33,005	54,710	69,954	23,534	198,207
C	17,006	54,396	136,192	313,635	92,639	613,868
Start	18,533	92,540	417,327	1,634,500	414,263	2,577,163
Stub	4,275	31,441	277,863	2,808,999	762,859	3,885,437
List	4,905	17,277	54,273	196,790	69,994	343,239
Assessed	67,099	239,919	959,159	5,046,861	1,365,422	7,678,460
Unassessed	123	482	1,238	17,029	405,666	424,538
Total	67,222	240,401	960,397	5,063,890	1,771,088	8,102,998

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 63,946,769 articles in different language editions (as of 14 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 14 November 2024)

1		2		3		4		5		6		7
English 6,910,275 Cebuano 6,116,974 German 2,959,004 French 2,647,161 Swedish 2,597,449 Dutch 2,171,719 Russian 2,009,648 Spanish 1,989,477 Italian 1,891,107 Polish 1,634,593 Egyptian Arabic 1,625,516 Chinese 1,450,714 Japanese 1,437,011 Ukrainian 1,353,036 Vietnamese 1,294,245 Waray 1,266,605 Arabic 1,245,620 Portuguese 1,137,712 Persian 1,018,927 Catalan 763,089

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 2,505 2,419 1,961 181 8,643 FL 181 688 768 703 100 2,440 A 371 681 788 584 91 2,515 GA 3,247 7,386 14,819 19,735 1,761 46,948 B 17,004 33,005 54,710 69,954 23,534 198,207 C 17,006 54,396 136,192 313,635 92,639 613,868 Start 18,533 92,540 417,327 1,634,500 414,263 2,577,163 Stub 4,275 31,441 277,863 2,808,999 762,859 3,885,437 List 4,905 17,277 54,273 196,790 69,994 343,239 Assessed 67,099 239,919 959,159 5,046,861 1,365,422 7,678,460 Unassessed 123 482 1,238 17,029 405,666 424,538 Total 67,222 240,401 960,397 5,063,890 1,771,088 8,102,998 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).]