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2019 Gender Balance in the GIS Workforce

Is the geospatial industry slowing becoming more gender balanced? Are women progressing proportionately into senior positions? Several years ago a wrote a blog post that touched on these topics (among others things) and since then I have gathered some more data so it is time for an update now with eight years worth of data.

I have previously published some statistics based on this analysis but I have now analysed the recent 2019 NZEUC attendance and can look at possible trends.

NZ Esri User Conference Attendee Gender Analysis

  • 2012: 24% Female, 76% Male
  • 2013: 21% Female, 79% Male
  • 2014: 22% Female, 78% Male
  • 2015: 25% Female, 75% Male
  • 2016: 27% Female, 73% Male
  • 2017 30% Female 70% Male
  • 2018 31% Female 69% Male
  • 2019 32% Female 68% Male

NZ Esri User Conference Attendee Manager Level Gender Analysis

The following percentages indicate the percentage of attendees whose position title indicated that they were at a management level (e.g. their title included ‘Lead’, ‘GM’, ‘CEO’, ‘Manager’ or similar, noting that ‘Project Manager’, ‘Account Manager’ and ‘Database Manager’ were not treated as being management level).

  • 2012: 6% Female, 28% Male
  • 2013: 5% Female, 27% Male
  • 2014: 6% Female, 25% Male
  • 2015: 6% Female, 24% Male
  • 2016: 5% Female, 21% Male
  • 2017 7% Female 19% Male
  • 2018 7% Female 17% Male
  • 2019 9% Female 19% Male

One responsibility in my current role is to assist with tasks around the New Zealand Esri User Conference so I have access to the attendee list data of that conference. Although this data doesn’t contain a male/female attribute a reasonable indication of gender can be inferred from the ‘first name’ attribute (discounting first names that are ambiguous for generally inferring gender such as ‘Chris’- unless I actually knew the person and could therefore attribute correctly based on personal knowledge: I know a lot of people in the industry so I am able to do this for many people on the list).

It is important to note that the overall total attendees at this conference has been increasing over the last few years so it is not the case that ‘fewer men are attending and more women’: there is a general increase in attendees of both genders if comparing totals and not percentages. There was a 14% increase in the total number of attendees at this conference compared to the preceding year.

Also note the following that in 2012 the Asia Pacific Esri User conference was merged with the NZ Esri User conference, so although I removed international visitors from the figures below to try to get a consistent domestic result 2012 was not an ‘identical’ conference to the other years and is likely to be an outlier for understood reasons.

The primary inference that can be drawn from these statistics is the greater number of males in the ratio of male to female attendees, and also the ratio of male to female managers. The trend however is again a slight increase in the proportion of female attendees this year.

While the percentage of female managers is has grown compared to last year it is interesting to note that the percentage of males as a percentage of attendees has had a very small increase, much less steep than the increase trend for females. The ratio of female managers to male managers is now at 32% (for the first time it is roughly the same as the ratio of females to males in the overall sample) this compares with 29% in 2018 and 27% in 2017.

There are some obvious drawbacks to this approach:

  • Conference attendance may not be a representative sample of the industry as a whole, e.g. it is likely that conference attendance is something that managers do more than lower level staff?
  • It is focussed on users of one type of vendor software
  • Regrettably this methodology does not cater for any transgender classifications (and would be difficult to do so)
  • May have false positives if in the sample there are any ‘men named Sue’(*hats off to The Man in Black!)

However these drawbacks should be assessed in conjunction with the advantages of having a repeated yearly snapshot from a fairly consistent event- therefore some trends can be fairly determined even noting these drawbacks.

The article that Josie Hawkey and I wrote for GIS Professional Magazine expands on this topic: https://www.gis-professional.com/magazines/gis-professional-april-2018.pdf

One other interesting thing to note is that at this conference there was an early careers network meeting of the ‘NZ Emerging Spatial Professionals’ group which had a roughly balanced gender attendance. Perhaps this could be an indication that more women are joining the industry at least at the early careers stage but women still seem to be poorly represented at the management levels? If so in future years the trends seen above are likely to continue. See: https://www.facebook.com/EmergingSpatialProfessionals/

Original post on this topic:


Please note: while obviously Eagle are aware of and support me doing this analysis any views expressed are not necessarily the views of Eagle and I have carried out this analysis independently and on my own time.

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Check out what this new amazing 3D map of the Milky Way tells us about our galaxy

When we think about a map of the Milky Way we have an image of a flat disk with several spiral arms. The new study, published in the journal Science, shows that the shape of our galaxy is different than we thought.

The traditional image of the Milky Way source: NASA

Scientists selected a sample of stars known as the Cepheids, which are pulsing, massive, young stars that shine brighter than the sun. Using data from the Optical Gravitational Lensing Experiment (OGLE), a sky survey run by the University of Warsaw, astronomers were able to pick over 2,400 of these stars and directly measure their distances and directions from the Sun. After mapping the results the scientists were able to create the most detail model of the 3D dimensions our galaxy. It turned out that it’s not flat but warped and twisted.

“The problem astronomers have typically had in studying the Milky Way is that, because we reside in it, it is hard to see the parts that are far away — we cannot move outside the Galaxy and look at it,” said Dr. Radek Poleski, a postdoctoral researcher at the Ohio State University and the University of Warsaw’s Astronomical Observatory.

“What we were able to do in this study that hasn’t been done before is to take a very large sample of objects — uniformly selected and organized — to build a model of the Milky Way.”

You might be tempted to think that modelling the shape of hundreds of billions of stars in the Milky Way based on 2400 sample might not be representative, however please remember that geodesy and cartography are all about modelling phenomena based on limited survey points and interpolating or extrapolating the results to the entire population. It’s the way maps are made. It’s interesting to see how the principles of cartography can be applied to map things far beyond our world.

Read on