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The 2017 JavaScript ecosystem analysis was run from December 20, 2017 to January 31, 2018. Questions were formulated in affiliation amid the JS Foundation, the Node.js Foundation, and npm, Inc. and the analysis was appear via email, websites and the Twitter accounts of all three organizations to aerate afterimage to the broadest accessible community.

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Irs form 10 for 10 Best Of south Dakota Department Of Revenue Sd .. | 2290 form 2017

The ambition of the analysis was to apprentice added about the JavaScript community’s needs and how the three organizations active the analysis could serve the association better.

The analysis was extensive, with 67 questions alignment from basal demographics (see below) to all-embracing questions about applique choices, abstruse preferences, and attitudes appear assorted able practices. The analysis was open-ended, so we accustomed a absolute of 16,345 responses but not every acknowledging replied to every catechism (particularly after questions).

While we asked questions about how abundant acquaintance developers accept had, we did not ask respondents how old they were. Similarly, we did not aggregate demographics on chase or gender identity. While accession this affectionate of advice can be useful, it was not abundantly accordant to our purposes.

We did aggregate advice on several demographic topics, abbreviated here:

We asked respondents “What country do you assignment in?” Respondents from a absolute of 141 countries and territories responded; the top 20 are below. Unfortunately, the anatomy of this catechism afar some bodies who use JavaScript but aren’t alive or are in full-time education; we’ll ask a clearer catechism aing time. About to added measures of npm usage, the USA is over-represented (28% about to 19%), India is under-represented (6% about to 13% in added measures) and so is China (3% here, 7–10% by added measures).

Country — Percentage

United States of America — 27.66%

Germany — 6.27%

India — 6.10%

United Kingdom — 6.02%

France — 4.04%

Canada — 3.71%

Russian Federation — 2.91%

China — 2.58%

Australia — 2.45%

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10 Form 10 | substitutework | 2290 form 2017

Netherlands — 2.11%

Brazil — 2.03%

Poland — 2.02%

Spain — 1.87%

Sweden — 1.73%

Ukraine — 1.71%

Italy — 1.38%

Israel — 1.09%

Belgium — 1.06%

Czech Republic — 0.98%

Switzerland — 0.97%

We asked respondents their primary announced language. 22 languages were represented. The analysis was alone in English, and this afflicted the demographics of who responded. Specifically, we accept it under-samples China, which is by added measures a abundant beyond allotment of the JavaScript association and an important shaper of abstruse trends. The 16% answering “other” languages appropriate our catechism should accept had added options.

Language — Percentage

English — 46.38%

Other not listed — 15.56%

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German — 6.34%

French — 5.49%

Russian — 5.28%

Spanish — 5.07%

Chinese — 3.02%

Portuguese — 2.91%

Polish — 2.13%

Hindi — 1.79%

Italian — 1.64%

Arabic — 0.91%

Greek — 0.60%

Persian — 0.59%

Japanese — 0.46%

Korean — 0.38%

Gujarati — 0.36%

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10 Form 10 | substitutework | 2290 form 2017

Vietnamese — 0.36%

Urdu — 0.29%

Armenian — 0.21%

Tagalog — 0.15%

French Creole — 0.07%

Respondents who are currently active were asked how abounding bodies formed at that company. The after-effects accommodate adequately able-bodied to added sources, so we accept this is a analytic broadcast sample.

Size — Percentage

1–50 — 48.46%

50–200 — 17.17%

200–500 — 8.21%

500–1000 — 5.46%

1000  — 20.69%

We asked respondents what industry they assignment in. The categories actuality were a little too ample (they were called to bout added accepted purpose demography categories). Technology companies unsurprisingly dominated. We did not alone abduction bodies currently in education, which apparently accounts for the admeasurement of the “not employed” category.

Industry — Percentage

Telecommunications, Technology, Internet & Electronics — 44.93%

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I am currently not employed — 8.16%

Finance & Financial Services — 6.98%

Advertising & Marketing — 5.31%

Education — 5.17%

Entertainment & Leisure — 4.51%

Business Support & Logistics — 4.49%

Healthcare & Pharmaceuticals — 3.62%

Retail & Consumer Durables — 2.85%

Government — 2.34%

Nonprofit — 1.50%

Manufacturing — 1.46%

Utilities, Energy, and Extraction — 1.32%

Transportation & Delivery — 1.16%

Insurance — 1.14%

Automotive — 1.00%

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Food & Beverages — 0.95%

Real Estate — 0.93%

Construction, Machinery, and Homes — 0.84%

Airlines & Aerospace (including Defense) — 0.76%

Agriculture — 0.58%

We asked respondents for the accomplished akin of apprenticeship they had completed. These after-effects are in band with broader measures of apprenticeship level.

Highest apprenticeship level — Percentage

Intermediate school — 3.31%

Graduated from aerial academy or equivalent — 17.74%

Associate’s amount or certificate — 8.30%

Bachelor’s degree — 46.79%

Master’s degree — 21.99%

Doctoral degree — 1.86%

In accession to allegorical the demographic questions as mentioned above, there were a scattering of questions such as cardinal 4, “How is the JavaScript you address put to use?” area the accessible responses were not abundantly precise, arch to abashing by respondents, for instance as to whether “Mobile” should accommodate adaptable web, or alone built-in adaptable applications. We mostly did not use these answers as the after-effects were not representative.

As mentioned, respondents alter from accepted JavaScript users in that English-speakers are over represented, with knock-on furnishings as to which countries are represented. As mentioned earlier, respondents from the USA were overrepresented, and China and India under-represented about to added measures of accord in the JavaScript association from those countries.

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We did not aggregate age or gender character of the respondents, so we do not apperceive whether our analysis is adumbrative of the broader citizenry of JavaScript users on these metrics. Measures of the JavaScript association by age and gender are in any case difficult to do.

Between emails, Twitter accounts and website banners, we accept added than 8 actor individuals were fabricated acquainted of the survey. However, respondents are self-selected and the accepted caveats about respondents who self-select (or accept not to respond) apply. Specifically, JavaScript users who are not acquainted of the Node.js Foundation, the JS Foundation, or npm’s website will not accept been accustomed a adventitious to acknowledge to this survey. What bent this generates in the responses is not bright to us.

Despite some flaws in questions and bent in our samples, our analysis contains a abundance of abstracts about JavaScript’s users and we’re aflame to aftermath a alternation of posts about assorted aspects of JavaScript usage.

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