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Massachusetts · Public charity

Women Networking in Electronic Transactions

Paytech women inspires and empowers women in the electronic transactions industry to maximize their individual potential and position themselves for greater personal success.

$10k
Granted FY2019
1
Grants FY2019
1
Organizations funded FY2019
0%
First-time grantees FY2019
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Median grant, FY2019
$10,000
Largest grant, FY2019
$10,000
Organizations funded a year
1 to 1
FY2018 to FY2019
States reached, FY2019
1
Total assets, FY2019
$490k

How open it is to new grantees

In FY2019, 0% of the organizations Women Networking in Electronic Transactions funded were first-time grantees, receiving 0% of its grant dollars.

The numbers by year
Fiscal yearOrganizations fundedTo those organizationsFirst-time grantees
FY20191$10k0%
FY20181$15kn/a
100% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2018 to 2019.

International$25k

Top grantees

Largest recipients by total granted, FY2018 to FY2019, and the share of each one’s budget the grants supplied at peak.

GranteeTotal grantedYearsShare of their budget
Wlakids$25,0002n/a

Compare Women Networking in Electronic Transactions with peer funders

About Women Networking in Electronic Transactions

How much does Women Networking in Electronic Transactions give?
Women Networking in Electronic Transactions reported 1 grants totaling $10,000 in its FY2019 IRS filing. It funded between 1 and 1 organizations a year over FY2018 to FY2019.
What does Women Networking in Electronic Transactions fund?
By grant dollars over FY2018 to FY2019, its largest causes are International (100%).
Who are Women Networking in Electronic Transactions's largest grantees?
By total granted over FY2018 to FY2019: Wlakids ($25k).
Does Women Networking in Electronic Transactions fund new organizations?
In FY2019, 0% of the organizations it funded were first-time grantees.
Where is Women Networking in Electronic Transactions based?
Women Networking in Electronic Transactions is based in MA.

On method. Every financial figure here is read from IRS e-file XML, the funder’s own 990/990-PF, and from the multi-year returns of the 1 grantees we resolved, each linked to its source. Grantee outcomes are each organization’s own program-service reporting (Form 990, Part III), read as association with funding, never as caused by it. Low-confidence name matches are suppressed rather than guessed. How we build these →

How this is measured
Each figure carries one of six labels. Filed is what the funder reported on its return. Official is another government record about an organization, such as a federal award or a charity register, joined by name where no shared identifier exists. Resolved is an identity we worked out where the filing named a recipient without an EIN, kept only above a measured confidence threshold. Computed is arithmetic over those, like themes, portfolio clusters and co-funder strength. Context is a statistic about a place rather than about an organization, which is what the need overlay is: it describes the area a grantee’s address sits in, not where its work lands. Inferred is drawn by a model from text, like the partnerships read out of public news and organization websites. Each is labeled where it appears.

Generated from the IRS Form 990 e-file return for fiscal year 2019, released 2019. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Possibly out of date. A more recent filing (FY2024) is on record and reports no grant expense, so the figures above are from FY2019, the most recent year this funder made grants.

Source object · view filing

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More from the funding graph

The unnamed billions
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By state
where grant money is based, and what stays home