Text of WA SB 6315 (2026)
Concerning collection and publishing of disaggregated data to inform state-funded programs, services, and activities.
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As introduced
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AN ACT Relating to collecting and publishing disaggregated data
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to inform state-funded programs, services, and activities; and adding
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a new chapter to Title 43 RCW.
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BE IT ENACTED BY THE LEGISLATURE OF THE STATE OF WASHINGTON:
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NEW SECTION. Sec. 1. The legislature finds that:
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(1) Data bias, meaning the unfair, inaccurate, or systematically
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skewing of data, affects women across all racial groups every day.
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Data bias can show up in many areas related to data, including its
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collection, storage, analysis, or reporting, or in how it is used for
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automated decision making.
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(2) When data is biased, it erases or distorts real experiences,
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especially for groups that have historically been undercounted or
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misclassified. This is not done with bad intention or on purpose; it
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is because society as a whole tends to associate the term "human"
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with "man." As a result, the voices of women, including those who are
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black, indigenous, or women of color, are silenced when their
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opinions and concerns are ignored through the collection, analysis,
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and reporting of data. Omitting women's perspectives often leads to
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unintentional male bias, even when labeled as "gender neutral." Data
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is collected in many ways and if there are no requirements for
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counting certain groups, they often are not counted.
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S-4273.1
SENATE BILL 6315
State of Washington
69th Legislature
2026 Regular Session
By Senator Shewmake
p. 1
SB 6315
(3)
Communities
most
impacted
by
inequities
receive
less
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visibility, fewer resources, and less tailored support. When such
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data is utilized in policymaking and funding allocation, it may lead
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to unexpected and potentially costly adverse outcomes. Biased data
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leads directly to biased policy and budget decisions. Data bias can
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create direct harm when it leads to inaccurate categorization, false
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assumptions, or discriminatory outcomes. When people see that data
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about them is wrong, incomplete, or used against them, they lose
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trust in government systems. Biased data systems can also create risk
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for agencies and states.
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(4) Such adverse outcomes are evidenced in research including the
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design of automotive safety, personal protective equipment, and
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medical and pharmaceutical studies. Research findings point to the
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limitations of using the "adult male" default model that set the
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standard for automobile crash testing. Additionally, the average
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physical differences in persons assigned male and female at birth can
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affect working conditions in a manner that warrants individual or
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unique attention. Research also highlights the need to go beyond the
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"average male" in the realm of personal protective equipment. The
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impacts and benefits of fitting protective equipment for those people
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who will actually perform the work is critical. Designing protective
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equipment, gear, and tools without incorporating the different
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characteristics of diverse populations leaves women and smaller and
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larger framed individuals at an unacceptable level of risk.
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(5)
Further,
research
addressing
women's
health
and
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pharmaceutical issues also points to adverse outcomes when women are
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not part of the process. Negative outcomes are also apparent in urban
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planning, park planning, the workplace, public life, and finance.
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When policymakers fail to account for gender, public spaces become
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male spaces by default.
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(6) Even in the present, leading economic indicators do not
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measure unpaid labor that was historically undertaken by women, such
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as caregiving, domestic labor, child rearing, elder care, and
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household management, so they are treated as less important. This
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means paid labor is affected heavily by the burden of unpaid labor
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carried by individuals.
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(7) The following agencies and programs are likely to have
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particular
impacts
due
to
the
better
publication
of
data
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disaggregated particularly on the basis of sex and gender:
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SB 6315
(a) The department of social and health services as related to
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caseloads, family support, domestic violence services, long-term
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care, and behavioral health;
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(b) The department of health as related to public health
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monitoring, maternal and child health, injury prevention, sexual and
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reproductive health, and public health interventions;
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(c) The department of children, youth, and families as related to
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childcare subsidies, family care supports, and prevention programs;
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(d) The office of the superintendent of public instruction as
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related to school health services, after-school programs, and
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supports that respond to gendered participation and needs;
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(e) The department of transportation as related to transit
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safety, lighting, route design, and policing resource allocation to
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respond to when data shows gendered patterns of mobility and
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harassment; and
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(f) The department of commerce as related to shelters, tenant
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protections,
and
housing
placements
when
sex-disaggregated
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homelessness or domestic violence data drives targeted capacity.
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(8) As artificial intelligence sees increased adoption, it is
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essential that the elements used by decision makers contain more
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nuanced data. Progress cannot be made without measurement, and bad
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data leads to bad resource allocation.
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(9) Requiring agencies to collect and publish data using the same
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guidelines and standards will increase consistency between agencies,
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increase representation in agency data and allow agencies to better
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measure the impact of agency actions on indicators of community well-
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being.
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(10) While the federal government has issued general statistical
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standards for disaggregating race and ethnicity data, there exist no
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general federal statistical standards for sex or gender identity.
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(11) The legislature's intent is to ensure that the voices of
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women and black, indigenous, and persons of color are incorporated
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into policymaking processes; ensure that the state makes wise
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financial decisions using the data it collects; and to strengthen and
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streamline data collection practices across agencies and when
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allocating funds.
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NEW SECTION. Sec. 2. (1) "Covered entity" means:
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(a) A state entity;
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(b) A unit of local government; or
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SB 6315
(c) Any entity that receives state funds, except federally
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recognized Indian tribes or tribal enterprises.
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(2) "Local government" means a city, town, county, special
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purpose district, political subdivision, municipal corporation, or
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quasi-municipal corporation, including a public corporation created
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by such an entity.
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(3) "Office" means the office of equity created in RCW
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43.06D.020.
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(4) "Personally identifiable information" means information that
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can identify a person or persons.
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(5) "State entity" means a state agency, department, office,
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officer, board, commission, bureau, institution, or institution of
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higher education.
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NEW SECTION. Sec. 3. (1) State entities shall collect, analyze,
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and report data for any study or report, including those that take
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the form of focus groups, questionnaires, and polls, in compliance
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with the data disaggregation guidelines developed by the office under
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RCW 43.06D.040(1)(d)(i)(A) when published. This includes, at a
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minimum,
when
publishing
findings,
reporting
data
that
is
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disaggregated by race, ethnicity, sex, and gender identity, as well
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as other demographic features that may be necessary based on the
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subject matter and its scope. Until the office's guidelines are
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published, state agencies shall follow minimum data collection
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standards for race, ethnicity, sex, and gender identity.
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(a) For race and ethnicity data, state entities shall, at a
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minimum, collect, analyze, and publish data in a manner that complies
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with the United States office of management and budget statistical
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policy directive number 15: standards for maintaining, collecting,
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and presenting federal data on race and ethnicity, as published in
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the federal register (89 Fed. Reg. 22182 (2024)).
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(b) For sex and gender identity data, state entities shall, at a
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minimum, collect, analyze, and publish data in a manner identical to
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the requirements of WAC 246-455-025(6) as it existed on December 31,
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2025.
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(2) A state entity that contracts with a covered entity shall
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include in its procurement and grant documents, including requests
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for proposals, contracts, and grant agreements, terms to require any
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study or report, including those that take the form of focus groups,
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questionnaires, and polls, to collect, analyze, and report on data in
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SB 6315
a manner that complies with subsection (1)(a) and (b) of this
1
section. This includes publishing findings disaggregated by race,
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ethnicity, as well as by sex and gender identity. The form of the
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terms that shall be included in any contract or grant agreement shall
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be a subject of negotiation between the state entity and the covered
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entity.
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NEW SECTION. Sec. 4. A state entity shall, before collecting,
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analyzing,
or
publishing
demographic
data
or
initiating
any
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solicitation that is required to comply with section 3 of this act,
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jointly consult with the office, the office of privacy and data
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protection established by RCW 43.105.369, the office of the attorney
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general, and the Washington state institutional review board on best
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practices for state entities, and the covered entities with which
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they have contracted, to safeguard against the release of personally
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identifiable
information
in
the
collection
and
reporting
of
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disaggregated data. The topics on which state entities should consult
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the named agencies include whether to geographically aggregate the
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data or to not publish demographic data categories in which low
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response rates could lead to the identification of a person or
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persons.
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NEW SECTION. Sec. 5. State entities shall implement the minimum
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data disaggregation standards required by this act and implement
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these standards in their procurement and grant documents by December
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31, 2026.
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NEW SECTION. Sec. 6. Sections 1 through 5 of this act
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constitute a new chapter in Title 43 RCW.
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--- END ---
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SB 6315