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Report: The Twin-Track Ecosystem in the 100 Largest Cities

Released: November 2022

In 2022, we released a follow-up to our report on women's representation in New York City, “Why Women Won in 2021.” In the report, we expand upon and re-evaluate our findings by researching 1) women’s representation in the next-largest cities in the U.S., and 2) which of the factors we observed in NYC are also present in these cities. The report concludes with a list of guiding takeaways,  aimed at changemakers interested in bringing the best practices and strategies that worked in New York City to other major cities. 

The Four Factors

Four conditions were uniquely met in New York, and thus examined in the next 100 largest cities. These were the presence of: (1) term limits, (2) public financing, (3) ranked choice voting, and (4) candidate organizations. Including NYC, 52% of the cities meet at least one of the four conditions.

Where Next?

Including NYC, 27 of the top 100 cities have councils majority-led (50% +1) by women and an additional 13 cities are at parity with women holding 50% of all seats. Just one city other than NYC has all four of the systems-focused and candidate-focused factors that make up the twin-track ecosystem: San Francisco. Four cities have two of the four factors we traced: Oakland, Denver, Long Beach, and Los Angeles.

 

Key Question: How many cities have more than one of the factors covered by the twin-track ecosystem?

City, State

Council

Seats

Council

Women

Percent Women

Term Limits

Matching Funds

Ranked Choice Voting

Local Women's Candidate Orgs

New York City, NY

51

31

61%

X

X

X

X

San Francisco, CA

11

4

36%

X

X

X

X

Oakland, CA

8

5

63%

 

X

X

 

Denver, CO

13

8

62%

X

X

   

Long Beach, CA

9

5

56%

X

X

   

Los Angeles, CA

15

4

27%

X

X

   

 

Our recommendations for “where next” are split between four cities. Depending on whether our partners are more interested in 1) achieving gender balance where it is lacking, or 2) sustaining current levels of women’s representation where it exists, our suggested target cities change. 

Our first option suggests focussing on Los Angeles and San Francisco. In Los Angeles, there is an opportunity for RCV and a local WCG to be introduced. Though San Francisco technically already has all four twin-track factors, there is room for building on the existing infrastructure to ensure that more women run viable campaigns in each election.

Our second option suggests focus should be on Denver, and Long Beach. Many cities in the top 100 have small city councils, showing there are clear opportunities to invest in better systems and candidate support infrastructure in all parts of the country. Per our initial analysis, these two cities would benefit from ranked choice voting and local WCGs. Since both have small councils and term limits, women’s representation is likely to fluctuate in the future without additional support.

Key Takeaways

  • A twin-track approach creates viable, local-level opportunities for women. A twin-track approach is the best way to achieve gender balance in our lifetimes. Moreover, both tracks must be multidimensional in depth. The candidate track must go beyond recruitment, and the systems track must involve efficient implementation and education. 
  • The results of the twin-track approach will inevitably vary in every city. Political environments and agendas, the role of local media, the rate of pay for officeholders, and other factors are not consistent across the U.S. But, even if the magnitude of the results are different, the components within the twin-track approach have proven to be beneficial and merit implementation. 
  • Actualizing the twin-track approach requires increased financial support. Gratuitous support from local community members can be effective but is not sustainable. In order to maintain training programs, host voter education initiatives, and provide endorsed candidates with additional funding, women's candidate groups need the help of philanthropists, changemakers, and partner organizations alike. 

 

View the Report