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US Educational Crowdfunding Data
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About
This collection of data provides detailed insight into the dynamics of internet-mediated registries used to fund projects and ventures. Crowdfunding involves raising capital from a large audience, a practice that generated over US$34 billion globally in 2015. The modern model connects three core actors: the project initiator, the financial supporters, and a platform that moderates the transaction. The projects documented here cover a wide spectrum, including artistic endeavours, medical support, travel, and community-oriented social entrepreneurship. This resource allows for statistical examination of funding behaviours and project characteristics.
Columns
The dataset includes thirty-two distinct variables, capturing details about the projects, the institutions requesting funding, and the outcomes. Key fields include:
- Project_ID: A unique identifier for each project campaign.
- school_latitude / school_longitude: Geographic coordinates of the institution seeking funding.
- school_state / school_city: Location details, indicating a wide range of regional coverage.
- teacher_prefix: The title used by the submitting teacher (e.g., Mrs., Ms.).
- primary_focus_subject: The main educational subject area of the project (e.g., Literacy, Mathematics).
- resource_type: The category of resources being requested (e.g., Supplies, Technology).
- poverty_level: The economic status classification of the school (e.g., highest poverty, high poverty).
- Goal: The target monetary amount the project aimed to raise.
- total_donations: The actual monetary value accumulated from donors.
- funding_status: The outcome of the campaign (completed or NotCompleted).
- date_posted / date_expiration: Timestamps marking the start and end of the funding window.
Distribution
This product is a structured dataset derived from 1000 individual project campaigns. It features thirty-two columns and is typically available as a data file, such as CSV (which will be updated separately). The file size is approximately 268.82 kB. No future updates are expected for this specific compilation.
Usage
This data is ideal for quantitative analysis of financial behaviours and success predictors in digital crowdsourcing. It can be utilised to:
- Model funding success: Determine which variables (e.g., poverty level, subject area, resource type) correlate strongest with a project reaching its goal.
- Geographic trend analysis: Map funding efforts to identify regional variations in donation rates and project concentration.
- Educational research: Assess how resources are distributed across different grade levels (Grades PreK-2, Grades 3-5) and specific subject areas.
- Platform efficacy studies: Analyse campaign duration and donor numbers to evaluate platform performance.
Coverage
The data provides detailed geographic coverage, including specific latitude, longitude, city, and state information, primarily within the US (e.g., California and New York are commonly represented). The records cover campaigns posted between January 1, 2015, and January 5, 2015, with expiration dates extending up to June 1, 2015. Contextually, the data provides demographic insights focused on educational projects, capturing details on school poverty levels and teacher affiliations.
License
CC0: Public Domain
Who Can Use It
This product is highly valuable for a range of users:
- Data Scientists: For training machine learning models to predict campaign outcomes or analyse donor behaviour.
- Financial Analysts: To study alternative finance markets and investment flow within social enterprise.
- Market Researchers: To gain understanding of the supply and demand for resources requested by public institutions.
- Academics and Students: For research into sociological, economic, and geographic trends related to digital altruism and resource allocation.
Dataset Name Suggestions
- Detailed Crowdfunding Project Outcomes
- 2015 Crowdfunding Campaign Statistics (1000 Projects)
- US Educational Crowdfunding Data
- Crowdsourcing Financial Success Predictors
Attributes
Original Data Source: US Educational Crowdfunding Data
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