Between September 2022 and 2023, the formal volunteering rate among Americans aged 45 to 54 was estimated at **** percent. The age group with the highest percentage of volunteers was ** to 17-year-olds, with **** percent having volunteered with at least one organization in the same year.

The data for this website were collected through two supplements to the Current Population Survey (CPS); the Volunteer Supplement and the Civic Supplement. The CPS is a monthly survey of about 60,000 households, (approximately 100,000 adults) conducted by the U.S. Census Bureau for the Bureau of Labor Statistics. The selected supplements collect data on the volunteering, voting, and civic activities of adults age 16 and older for volunteering and 18 and older for the civic supplement. Volunteers are considered individuals who performed unpaid volunteer activities through or for an organization at any point during the 12-month period, from September 1 of the prior year through the survey week in September of the survey year.

This dataset provides information about volunteers and their preferences for the type of organization they would like to volunteer for. The dataset is ideal for building a volunteer matching platform or conducting data analysis related to volunteerism and social causes. It contains various attributes of volunteers, including their names, ages, genders, skills, availability, locations, and the types of organizations they are interested in.

The dataset includes 50 rows, with each row representing a volunteer profile. Volunteers have provided information about their skills and availability for volunteering, allowing organizations to match them with suitable opportunities. The dataset also categorizes the preferred types of organizations into three categories: pet and animal service, healthcare, and youth development.

This dataset can be utilized for a variety of purposes, including:

• Volunteer Matching: Use this dataset to develop a volunteer matching platform that connects volunteers with organizations based on their skills, availability, and interests.

• Data Analysis: Explore the dataset to gain insights into the preferences, skills, and availability of volunteers in different locations. Analyze trends in volunteerism and identify patterns that can inform strategies for engaging volunteers effectively.

• Python Projects: Utilize this dataset for practicing data analysis skills using Python libraries such as pandas, NumPy, or scikit-learn. Perform exploratory data analysis, create visualizations, and build predictive models related to volunteerism and social causes.

• Web Development: Incorporate this dataset into web development projects to create interactive volunteer matching platforms or visualizations related to volunteer engagement and social causes.

Whether you are a data scientist, a web developer, or someone interested in volunteerism and social causes, this dataset provides a valuable resource for analysis and application development. Start exploring and contributing to the field of volunteer matching and social impact!

Note: The dataset is simulated and does not contain real personal information. It has been generated for educational and illustrative purposes.

Volunteer rate and distribution of volunteer hours, population aged 15 and over, age group, 2013.

Cultural volunteer statistical data from the Ministry of Culture survey.

CFS Volunteer Numbers from 2012/13 to 2016/17

Increase the number of service hours provided in the Corporation for National and Community Services Volunteer Programs (CNCS) from 1,654,783 in 2014 to 2,150,434 by 2017.

Financial overview and grant giving statistics of Senior Volunteer Program 545

Analysis of the number and gender of park volunteers over the years

Financial overview and grant giving statistics of Volunteer X

This table contains 330 series, with data for years 2013 - 2013 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (11 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia; ...) Marital status (5 items: All marital status; Married or common-law; Single, never maried; Seperated or divorced; ...) Volunteer statistics (UOM) (6 items: Volunteer rate; Average annual volunteer hours; Median annual volunteer hours; Total annual volunteer hours; ...).

SES Volunteer Numbers for years 2012/13 to 2016/17

🇸🇦 Saudi Arabia

A time series of the proportion of providers that employ volunteer staff, and the number of volunteer staff that they employ.

The National Institute of Mental Health (NIMH) Research Volunteer (RV) Data Set

A comprehensive dataset characterizing healthy research volunteers in terms of clinical assessments, mood-related psychometrics, cognitive function neuropsychological tests, structural and functional magnetic resonance imaging (MRI), along with diffusion tensor imaging (DTI), and a comprehensive magnetoencephalography battery (MEG).

In addition, blood samples are currently banked for future genetic analysis. All data collected in this protocol are broadly shared in the OpenNeuro repository, in the Brain Imaging Data Structure (BIDS) format. In addition, task paradigms and basic pre-processing scripts are shared on GitHub. This dataset is unprecedented in its depth of characterization of a healthy population and will allow a wide array of investigations into normal cognition and mood regulation.

This dataset is licensed under the Creative Commons Zero (CC0) v1.0 License.

Release Notes

Release v2.0.0

This release includes data collected between 2020-06-03 (cut-off date for v1.0.0) and 2024-04-01. Notable changes in this release:

1. 769 new participants have been added along with re-evaluation data for 15 participants. Total unique participants count is now 1859.
2. visit and age_at_visit columns added to phenotype files to distinguish between visits and intervals between them.
3. Follow-up online survey data included.
4. Replaced Beck Anxiety Inventory (BAI) and Beck Depression Inventory-II (BDI-II) with General Anxiety Disorder-7 (GAD7) and Patient Health Questionnaire 9 (PHQ9) surveys, respectively.
5. Discontinued the Perceived Health rating survey.
6. Added Brief Trauma Questionnaire (BTQ) and Big Five personality survey to online screening questionnaires.
7. MRI:
   • Replaced ADNI-3 resting state sequence with a multi-echo sequence with higher spatial resolution.
   • Replaced field map scans with a shorter reversed-blipped EPI scan.
8. MEG:
   • Some participants have 6-minute empty room data instead of the shorter duration empty room acquisition.

See the CHANGES file for complete version-wise changelog.

Participant Eligibility

To be eligible for the study, participants need to be medically healthy adults over 18 years of age with the ability to read, speak and understand English. All participants provided electronic informed consent for online pre-screening, and written informed consent for all other procedures. Participants with a history of mental illness or suicidal or self-injury thoughts or behavior are excluded. Additional exclusion criteria include current illicit drug use, abnormal medical exam, and less than an 8th grade education or IQ below 70. Current NIMH employees, or first degree relatives of NIMH employees are prohibited from participating. Study participants are recruited through direct mailings, bulletin boards and listservs, outreach exhibits, print advertisements, and electronic media.

Clinical Measures

All potential volunteers visit the study website, check a box indicating consent, and fill out preliminary screening questionnaires. The questionnaires include basic demographics, the World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0), the DSM-5 Self-Rated Level 1 Cross-Cutting Symptom Measure, the DSM-5 Level 2 Cross-Cutting Symptom Measure - Substance Use, the Alcohol Use Disorders Identification Test (AUDIT), the Edinburgh Handedness Inventory, and a brief clinical history checklist. The WHODAS 2.0 is a 15 item questionnaire that assesses overall general health and disability, with 14 items distributed over 6 domains: cognition, mobility, self-care, “getting along”, life activities, and participation. The DSM-5 Level 1 cross-cutting measure uses 23 items to assess symptoms across diagnoses, although an item regarding self-injurious behavior was removed from the online self-report version. The DSM-5 Level 2 cross-cutting measure is adapted from the NIDA ASSIST measure, and contains 15 items to assess use of both illicit drugs and prescription drugs without a doctor’s prescription. The AUDIT is a 10 item screening assessment used to detect harmful levels of alcohol consumption, and the Edinburgh Handedness Inventory is a systematic assessment of handedness. These online results do not contain any personally identifiable information (PII). At the conclusion of the questionnaires, participants are prompted to send an email to the study team. These results are reviewed by the study team, who determines if the participant is appropriate for an in-person interview.

Participants who meet all inclusion criteria are scheduled for an in-person screening visit to determine if there are any further exclusions to participation. At this visit, participants receive a History and Physical exam, Structured Clinical Interview for DSM-5 Disorders (SCID-5), the Beck Depression Inventory-II (BDI-II), Beck Anxiety Inventory (BAI), and the Kaufman Brief Intelligence Test, Second Edition (KBIT-2). The purpose of these cognitive and psychometric tests is two-fold. First, these measures are designed to provide a sensitive test of psychopathology. Second, they provide a comprehensive picture of cognitive functioning, including mood regulation. The SCID-5 is a structured interview, administered by a clinician, that establishes the absence of any DSM-5 axis I disorder. The KBIT-2 is a brief (20 minute) assessment of intellectual functioning administered by a trained examiner. There are three subtests, including verbal knowledge, riddles, and matrices.

Biological and physiological measures

Biological and physiological measures are acquired, including blood pressure, pulse, weight, height, and BMI. Blood and urine samples are taken and a complete blood count, acute care panel, hepatic panel, thyroid stimulating hormone, viral markers (HCV, HBV, HIV), c-reactive protein, creatine kinase, urine drug screen and urine pregnancy tests are performed. In addition, three additional tubes of blood samples are collected and banked for future analysis, including genetic testing.

Imaging Studies

Participants were given the option to enroll in optional magnetic resonance imaging (MRI) and magnetoencephalography (MEG) studies.

MRI

On the same visit as the MRI scan, participants are administered a subset of tasks from the NIH Toolbox Cognition Battery. The four tasks asses attention and executive functioning (Flanker Inhibitory Control and Attention Task), executive functioning (Dimensional Change Card Sort Task), episodic memory (Picture Sequence Memory Task), and working memory (List Sorting Working Memory Task). The MRI protocol used was initially based on the ADNI-3 basic protocol, but was later modified to include portions of the ABCD protocol in the following manner:

1. The T1 scan from ADNI3 was replaced by the T1 scan from the ABCD protocol.
2. The Axial T2 2D FLAIR acquisition from ADNI2 was added, and fat saturation turned on.
3. Fat saturation was turned on for the pCASL acquisition.
4. The high-resolution in-plane hippocampal 2D T2 scan was removed, and replaced with the whole brain 3D T2 scan from the ABCD protocol (which is resolution and bandwidth matched to the T1 scan).
5. The slice-select gradient reversal method was turned on for DTI acquisition, and reconstruction interpolation turned off.
6. Scans for distortion correction were added (reversed-blip scans for DTI and resting state scans).
7. The 3D FLAIR sequence was made optional, and replaced by one where the prescription and other acquisition parameters provide resolution and geometric correspondence between the T1 and T2 scans.

MEG

The optional MEG studies were added to the protocol approximately one year after the study was initiated, thus there are relatively fewer MEG recordings in comparison to the MRI dataset. MEG studies are performed on a 275 channel CTF MEG system. The position of the head was localized at the beginning and end of the recording using three fiducial coils. These coils were placed 1.5 cm above the nasion, and at each ear, 1.5 cm from the tragus on a line between the tragus and the outer canthus of the eye. For some participants, photographs were taken of the three coils and used to mark the points on the T1 weighted structural MRI scan for co-registration. For the remainder of the participants, a BrainSight neuro-navigation unit was used to coregister the MRI, anatomical fiducials, and localizer coils directly prior to MEG data acquisition.

Specific Survey and Test Data within Data Set

NOTE: In the release 2.0 of the dataset, two measures Brief Trauma Questionnaire (BTQ) and Big Five personality survey were added to the online screening questionnaires. Also, for the in-person screening visit, the Beck Anxiety Inventory (BAI) and Beck Depression Inventory-II (BDI-II) were replaced with the General Anxiety Disorder-7 (GAD7) and Patient Health Questionnaire 9 (PHQ9) surveys, respectively. The Perceived Health rating survey was discontinued.

1. Preliminary Online Screening Questionnaires

Areas where volunteer groups operate within Fairfax County. The volunteer groups (also known as Community Based Organizations) are non-profit organizations that provide basic needs assistance to specific areas of the county. The groups work together to define their boundaries, often utilizing ZIP code boundaries for their edges. Some of the service areas overlap.

The salary expenses, not-for-profit by North American Industry Classification System (NAICS 7111) for the performing arts sector which include all members under Salary expenses, every two years (dollars) for four years of data.

Financial overview and grant giving statistics of Senior Volunteer Program

Financial overview and grant giving statistics of Center For Volunteer & Nonprofit