Technology

Visualizing the Diversity of the Tech Industry

Published

6 years ago

August 14, 2017

Jeff Desjardins

Visualizing the Diversity of the Tech Industry

With the recent leak of the “Google Manifesto” and the maelstrom of media backlash that followed, it seems that concerns around diversity in the technology industry have finally reached a boiling point.

Today’s infographic from Information is Beautiful breaks down the demographics of 23 major tech companies, based on statistics from 2016. It also provides comparisons to the composition of the U.S. population in general, the top 50 U.S. companies, Congress, and Fortune 500 CEOs.

Which Companies Employ the Most Women?

With just a focus on the major companies on this list, here is a breakdown that shows which companies employ the most women:

Rank	Tech Company	% of Females
#1	Pandora	48%
#2	Groupon	47%
#3	Indiegogo	45%
#4	Pinterest	44%
#5	eBay	43%

	U.S. Population Avg.	50%

The above list already illustrates why diversity is such a concern for many observers of the industry: even the companies with the most women on their rosters have proportions lower than U.S. population average of 50%.

In contrast, here are the companies on the list that employ the fewest women, as a proportion of their workforce:

Rank	Tech Company	% of Females
#18 (t)	Salesforce	30%
#18 (t)	Youtube	30%
#18 (t)	Dell	30%
#21	Microsoft	26%
#22	Intel	25%
#23	Nvidia	16%

Google, which is at the center of debate right now, did not make the list of the companies with the fewest women – but it’s not far off with a workforce comprised of 31% women.

What’s Changed in the Last 12 Months?

According to Information is Beautiful, here is what has changed in the last 12 months as of their last update (April 2017):

Facebook, Apple, eBay, and Microsoft all had their ratio of women increase by 1%.
LinkedIn had their ratio of women increase by 3%.
Google’s gender ratio stayed the same.
Microsoft increased the ratio of non-white employees by 3%, and Facebook by 2%.
Google, Apple, and eBay increased ratio of non-white employees by 1%.
LinkedIn lost 3% of its non-white employees.
Asian staff accounted for the majority of increases in ethnic diversity, while the ratio of Hispanic employees remained static.

To get an even better sense of the data, we recommend visiting the interactive version of Information is Beautiful’s graphic, which shows numbers for 2014 and 2015 as well.

Related Topics:manifesto google tech women diversity

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AI

Visualizing the Top U.S. States for AI Jobs

Nearly 800,000 AI jobs were posted in the U.S. throughout 2022. View this graphic to see a breakdown by state.

Published

2 days ago

May 26, 2023

Marcus Lu

Visualizing the Top U.S. States for AI Jobs

Much ink has been spilled over fears that artificial intelligence (AI) will eliminate jobs in the economy. While some of those fears may be well-founded, red-hot interest in AI innovation is creating new jobs as well.

This graphic visualizes data from Lightcast, a labor market analytics firm, which shows how many AI-related jobs were posted in each state throughout 2022.

In total there were 795,624 AI jobs posted throughout the year, of which 469,925 (59%) were in the top 10. The full tally is included in the table below.

Rank	State	Number of job postings	% of total
1	California	142,154	17.9%
2	Texas	66,624	8.4%
3	New York	43,899	5.5%
4	Massachusetts	34,603	4.3%
5	Virginia	34,221	4.3%
6	Florida	33,585	4.2%
7	Illinois	31,569	4.0%
8	Washington	31,284	3.9%
9	Georgia	26,620	3.3%
10	Michigan	25,366	3.2%
11	North Carolina	23,854	3.0%
12	New Jersey	23,447	2.9%
13	Colorado	20,421	2.6%
14	Pennsylvania	20,397	2.6%
15	Arizona	19,514	2.5%
16	Ohio	19,208	2.4%
17	Maryland	16,769	2.1%
18	Minnesota	11,808	1.5%
19	Tennessee	11,173	1.4%
20	Missouri	10,990	1.4%
21	Oregon	10,811	1.4%
22	Washington, D.C.	9,606	1.2%
23	Indiana	9,247	1.2%
24	Connecticut	8,960	1.1%
25	Wisconsin	8,879	1.1%
26	Alabama	7,866	1.0%
27	Kansas	7,683	1.0%
28	Arkansas	7,247	0.9%
29	Utah	6,885	0.9%
30	Nevada	6,813	0.9%
31	Idaho	6,109	0.8%
32	Oklahoma	5,719	0.7%
33	Iowa	5,670	0.7%
34	South Carolina	4,928	0.6%
35	Louisiana	4,806	0.6%
36	Kentucky	4,536	0.6%
37	Nebraska	4,032	0.5%
38	Delaware	3,503	0.4%
39	New Mexico	3,357	0.4%
40	Rhode Island	2,965	0.4%
41	New Hampshire	2,719	0.3%
42	Hawaii	2,550	0.3%
43	Mississippi	2,548	0.3%
44	Maine	2,227	0.3%
45	South Dakota	2,195	0.3%
46	Vermont	1,571	0.2%
47	North Dakota	1,227	0.2%
48	Alaska	970	0.1%
49	West Virginia	887	0.1%
50	Montana	833	0.1%
51	Wyoming	769	0.1%

The following chart adds some context to these numbers. It shows how the percentage of AI job postings in some of the top states has changed since 2010.

We can see that California quickly became the primary destination for AI jobs in the early 2010s, presumably as Silicon Valley companies began developing the technology.

California’s share has since declined, with a significant number of jobs seemingly moving to Texas. In fact, many tech companies are relocating to Texas to avoid California’s relatively higher taxes and cost of living.

The 10 Most In-Demand Specialized Skills

Lightcast also captured the top 10 specialized skills that were required for AI-related jobs. These are listed in the table below.

Skill	Frequency (number of postings)	Frequency (% of postings)
Python	296,662	37%
Computer Science	260,333	33%
SQL	185,807	23%
Data Analysis	159,801	20%
Data Science	157,855	20%
Amazon Web Services	155,615	19%
Agile Methodology	152,965	19%
Automation	138,791	17%
Java	133,856	17%
Software Engineering	133,286	17%