User:Engineering Guy/sandbox

All rated articles by quality and importance
Quality	Importance
	Top	High	Mid	Low	???	Total
FA	1,561	2,461	2,378	1,897	180	8,477
FL	178	668	761	700	106	2,413
A	360	680	786	579	83	2,488
GA	3,177	7,210	14,555	19,078	1,734	45,754
B	16,635	32,297	53,296	66,163	20,935	189,326
C	16,597	53,277	132,866	298,925	85,240	586,905
Start	18,459	91,926	412,338	1,584,127	397,929	2,504,779
Stub	4,213	31,618	278,071	2,778,537	760,429	3,852,868
List	4,782	16,893	53,159	188,993	66,926	330,753
Assessed	65,962	237,030	948,210	4,938,999	1,333,562	7,523,763
Unassessed	125	496	1,259	19,121	429,884	450,885
Total	66,087	237,526	949,469	4,958,120	1,763,446	7,974,648

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 63,036,215 articles in different language editions (as of 26 May 2024)

  English (10.8%)

  Cebuano (9.7%)

  German (4.6%)

  French (4.1%)

  Swedish (4.1%)

  Dutch (3.4%)

  Russian (3.1%)

  Spanish (3.1%)

  Italian (3%)

  Egyptian Arabic (2.6%)

  Other (51.5%)

Graph of the 20 largest language editions of Wikipedia
(in number of articles, as of 26 May 2024)

1		2		3		4		5		6		7
English 6,827,451 Cebuano 6,117,643 German 2,912,947 French 2,613,932 Swedish 2,585,496 Dutch 2,158,997 Russian 1,981,170 Spanish 1,955,175 Italian 1,865,288 Egyptian Arabic 1,623,574 Polish 1,616,561 Chinese 1,421,084 Japanese 1,416,699 Ukrainian 1,324,802 Vietnamese 1,293,455 Waray 1,266,451 Arabic 1,233,966 Portuguese 1,125,572 Persian 1,003,242 Catalan 752,456

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 1,561 2,461 2,378 1,897 180 8,477 FL 178 668 761 700 106 2,413 A 360 680 786 579 83 2,488 GA 3,177 7,210 14,555 19,078 1,734 45,754 B 16,635 32,297 53,296 66,163 20,935 189,326 C 16,597 53,277 132,866 298,925 85,240 586,905 Start 18,459 91,926 412,338 1,584,127 397,929 2,504,779 Stub 4,213 31,618 278,071 2,778,537 760,429 3,852,868 List 4,782 16,893 53,159 188,993 66,926 330,753 Assessed 65,962 237,030 948,210 4,938,999 1,333,562 7,523,763 Unassessed 125 496 1,259 19,121 429,884 450,885 Total 66,087 237,526 949,469 4,958,120 1,763,446 7,974,648 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).]