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sources.json
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{
"schools": {
"datasets": {
"enrollment": {
"fxf": "ddne-r9yk",
"domain": "mi-treasury.data.socrata.com",
"constraints": [["year", "desc"]],
"variables": {
"fte_enrollment": {
"name": "Fall Student Count (FTE)",
"type": "number"
},
"EnrollmentChange": {
"name": "Change in Fall Student Count",
"type": "number"
},
"EnrollmentPercent": {
"name": "Percent Change Fall Student Count",
"type": "ratio"
}
},
"searchTerms": ["michigan", "enrollment", "fte", "student count"],
"description": "Full time equated enrollment (FTE) is the proportion of students' instruction supported by a school district with each student's full time equal to one FTE. Thevariable tracks the Fall student count for each district.<br /><br />Numeric change in the Fall FTE student count.<br /><br />Percent change in the Fall FTE student count.",
"sources": ["cepi"]
},
"finance": {
"fxf": "ddne-r9yk",
"domain": "mi-treasury.data.socrata.com",
"constraints": [["year", "desc"]],
"variables": {
"gf_brev": {
"name": "General Fund Balance as a Percent of Revenue",
"type": "ratio"
},
"gf_bal": {
"name": "General Fund Balance",
"type": "dollar"
},
"gf_rev": {
"name": "Total General Fund Revenue",
"type": "dollar"
},
"gf_exp": {
"name": "Total General Fund Expenditures",
"type": "dollar"
},
"11-1-51x-xxxx": {
"name": "General Fund Long Term Debt Service",
"type": "dollar"
},
"Unrestricted": {
"name": "Unrestricted General Fund Revenue",
"type": "dollar"
}
},
"searchTerms": ["michigan", "finance"],
"description": "General Fund balance as a percent of revenue measures the amount of equity a district has saved compared to annual revenue.<br /><br />General Fund Balance is the difference between governmental fund assets and deferred outflows of resources, and liabilities and deferred inflows of resources.<br /><br />Total General Fund Revenues are the gross receipts and receivables of a governmental unit derived from taxes and other sources.<br /><br />Total General Fund Expenditures refers to decreases in net financial resources.<br /><br />Long-term debt service payments by the district in the General Fund.<br /><br />District General Fund Revenue that is not bound to a particular use.",
"sources": ["cepi"]
},
"fiscal_metrics": {
"fxf": "ddne-r9yk",
"domain": "mi-treasury.data.socrata.com",
"constraints": [["year", "desc"]],
"variables": {
"gf_revexp": {
"name": "General Fund Revenue Over Expenditure",
"type": "ratio"
},
"Rev_Staff": {
"name": "General Fund Revenue Per Staff FTE",
"type": "dollar"
},
"Exp_Staff": {
"name": "General Fund Expenditure Per Staff FTE",
"type": "dollar"
},
"271_SQM": {
"name": "Transportation Cost Per Square Mile",
"type": "dollar"
},
"OM_Revenue": {
"name": "Operations and Maintenance/Revenue",
"type": "ratio"
},
"URRatio": {
"name": "Percent Unrestricted General Fund Revenue",
"type": "ratio"
},
"gf_revpupil": {
"name": "General Fund Revenue Per Pupil FTE",
"type": "dollar"
},
"gf_exppupil": {
"name": "General Fund Expenditure Per Pupil FTE",
"type": "dollar"
},
"gf_bpupil": {
"name": "General Fund Balance Per Pupil FTE",
"type": "dollar"
}
},
"searchTerms": ["michigan", "enrollment", "fte"],
"description": "Revenue divided by expenditure shows whether the district saved more money than it spent for a given year.<br /><br />How much revenue a district makes for each full time employee<br /><br />How much a district spends with each full time employee<br /><br />How much a district spends on pupil transportation per square mile of its geographic boundary.<br /><br />Percent of revenue spent on Operations and Maintance.<br /><br />Percent of total revenue that is unrestricted.<br /><br />How much revenue a district receives for each full time student<br /><br />How much a district spends with each full time student.<br /><br />A measure of fund balance health: how much fund equity exists for each full time student.",
"sources": ["cepi"]
},
"staffing": {
"fxf": "ddne-r9yk",
"domain": "mi-treasury.data.socrata.com",
"constraints": [["year", "desc"]],
"variables": {
"TotalStaff": {
"name": "Total Staff FTE",
"type": "number"
},
"Teachers": {
"name": "Teachers",
"type": "number"
},
"Administrators": {
"name": "Administrators",
"type": "number"
},
"Paras": {
"name": "Paraprofessionals/Aides",
"type": "number"
},
"NonInstructional": {
"name": "Non-Instructional",
"type": "number"
}
},
"searchTerms": ["michigan", "staffing"],
"description": "Full time equivalent count of all staff within the school district.<br /><br />Full time equivalent count of Teachers within the school district.<br /><br />Full time equivalent count of Administrators within the school district.<br /><br />Full time equivalent count of Paraprofessionals and Aides within the school district.<br /><br />Full time equivalent count of Non-Instructional staff within the school district.",
"sources": ["cepi"]
},
"statement_of_position": {
"fxf": "ddne-r9yk",
"domain": "mi-treasury.data.socrata.com",
"constraints": [["year", "desc"]],
"variables": {
"gf_assets": {
"name": "Total General Fund Assets",
"type": "dollar"
},
"gf_liabilities": {
"name": "Total General Fund Liabilities",
"type": "dollar"
},
"alRatio": {
"name": "General Fund Liquidity Ratio",
"type": "ratio"
}
},
"searchTerms": ["michigan", "assets", "liabilities", "liquidity ratio", "statement of position"],
"description": "Total assets in the general fund.<br /><br />Total liabilities in the general fund<br /><br />The proportion of districts' assets financed through debt.",
"sources": ["cepi"]
}
}
},
"demographics": {
"datasets": {
"population": {
"fxf": "9jg8-ki9x",
"constraints": [["year", "desc"]],
"variables": {
"count": {"name": "Population Count"},
"change": {
"name": "Population Rate of Change",
"description": "Percent change from the previous year",
"type": "percent",
"stoplight": true
}
},
"searchTerms": ["population", "household", "demographics", "ethnicity", "minority"],
"sources": ["acs"]
}
}
},
"geographic": {
"datasets": {
"population": {
"fxf": "9hs5-ncz3",
"constraints": [["year", "desc"]],
"variables": {
"density": {
"name": "Population Density"
}
},
"searchTerms": ["population", "density"],
"description": "Population Density is computed by dividing the total population by Land Area Per Square Mile.",
"sources": ["acs"]
},
"area": {
"fxf": "9hs5-ncz3",
"constraints": [["year", "desc"]],
"variables": {
"land_area": {
"name": "Land Area"
},
"water_area": {
"name": "Water Area"
}
},
"searchTerms": ["water", "area"],
"description": "Land area is a measurement providing the size, in square miles, of the land portions of geographic entities for which the Census Bureau tabulates and disseminates data. Area is calculated from the specific boundary recorded for each entity in the Census Bureau's geographic database. Land area is based on current information in the TIGER® data base, calculated for use with Census 2010.<br /><br />Water Area figures include inland, coastal, Great Lakes, and territorial sea water. Inland water consists of any lake, reservoir, pond, or similar body of water that is recorded in the Census Bureau's geographic database. It also includes any river, creek, canal, stream, or similar feature that is recorded in that database as a two- dimensional feature (rather than as a single line). The portions of the oceans and related large embayments (such as Chesapeake Bay and Puget Sound), the Gulf of Mexico, and the Caribbean Sea that belong to the United States and its territories are classified as coastal and territorial waters; the Great Lakes are treated as a separate water entity. Rivers and bays that empty into these bodies of water are treated as inland water from the point beyond which they are narrower than 1 nautical mile across. Identification of land and inland, coastal, territorial, and Great Lakes waters is for data presentation purposes only and does not necessarily reflect their legal definitions.",
"sources": ["acs"]
}
}
},
"education": {
"datasets": {
"graduation_rates": {
"fxf": "7mfb-7yvj",
"name": "Graduation Rates",
"constraints": [["year", "desc"]],
"variables": {
"percent_less_than_9th_grade": {
"type": "percent",
"name": "Percent who did not finish the 9th grade",
"stoplight": true,
"reverse": true
},
"percent_high_school_graduate_or_higher": {
"type": "percent",
"name": "High School Graduation Rate",
"stoplight": true
},
"percent_associates_degree": {
"type": "percent",
"name": "Percent with an associate's degree"
},
"percent_bachelors_degree_or_higher": {
"type": "percent",
"name": "College Graduation Rate",
"stoplight": true
},
"percent_graduate_or_professional_degree": {
"type": "percent",
"name": "Percent with a graduate or professional degree",
"stoplight": true
}
},
"searchTerms": ["college", "education", "school", "university", "instruction", "teaching", "teacher", "professor", "student", "graduation", "scholastic", "matriculation"],
"sources": ["acs"]
},
"education_expenditures": {
"fxf": "nxzi-u9nr",
"name": "Expenditures",
"constraints": [["year", "desc"]],
"variables": {
"administration-salaries": {
"type": "dollar",
"name": "Total Administration Salaries"
},
"administration-salaries-per-student": {
"type": "dollar"
},
"capital-expenditures": {
"type": "dollar",
"name": "Total Capital Expenditures"
},
"capital-expenditures-per-student": {
"type": "dollar",
"name": "Capital Expenditure Per Student"
},
"instruction-salaries": {
"type": "dollar",
"name": "Total Instruction Related Salaries"
},
"instruction-salaries-per-student": {
"type": "dollar"
}
},
"searchTerms": ["school budget", "school funding", "school construction", "teacher salaries", "university salaries",
"college budget", "college funding", "college salaries", "university budget", "university funding",
"college", "education", "school", "university", "instruction", "teaching", "teacher", "professor",
"student", "graduation", "scholastic", "matriculation"],
"description": "All expenditures data are in US$. Year values represent the end of a school year; for example, if the school year was 2004-2005, the listed year will be 2005. Normalization is applied against the total student enrollment for that year; for example, the capital expenditures per student takes the total capital expenditures ending in the given school year, and divides by the total enrollees in that given year, with the result rounded to the nearest integer.",
"sources": ["iesNces"]
},
"classroom_statistics": {
"fxf": "kx62-ayme",
"constraints": [["year", "desc"]],
"variables": {
"student-teacher-ratio": {}
},
"searchTerms": ["college", "education", "school", "university", "instruction", "teaching", "teacher", "professor", "student", "graduation", "scholastic", "matriculation"],
"sources": ["iesNces"]
}
}
},
"jobs": {
"datasets": {
"earnings": {
"fxf": "j8a6-qa8k",
"constraints": [["year", "desc"]],
"variables": {
"median_earnings": {
"type": "dollar",
"stoplight": true
},
"female_median_earnings": {
"type": "dollar",
"name": "Median Female Earnings",
"stoplight": true
},
"male_median_earnings": {
"type": "dollar",
"name": "Median Male Earnings",
"stoplight": true
},
"female_full_time_median_earnings": {
"type": "dollar",
"name": "Median Female Earnings (Full Time)",
"stoplight": true
},
"male_full_time_median_earnings": {
"type": "dollar",
"name": "Median Male Earnings (Full Time)",
"stoplight": true
},
"median_earnings_less_than_high_school": {
"type": "dollar",
"stoplight": true
},
"median_earnings_high_school": {
"type": "dollar",
"stoplight": true
},
"median_earnings_some_college_or_associates": {
"type": "dollar",
"stoplight": true
},
"median_earnings_bachelor_degree": {
"type": "dollar",
"stoplight": true
},
"median_earnings_graduate_or_professional_degree": {
"type": "dollar",
"stoplight": true
},
"percent_with_earnings_1_to_9999": {
"type": "percent",
"name": "Percent Earning less than $10,000"
},
"percent_with_earnings_10000_to_14999": {
"type": "percent",
"name": "Percent Earning $10,000 to $14,999"
},
"percent_with_earnings_15000_to_24999": {
"type": "percent",
"name": "Percent Earning $15,000 to $24,999"
},
"percent_with_earnings_25000_to_34999": {
"type": "percent",
"name": "Percent Earning $25,000 to $34,999"
},
"percent_with_earnings_35000_to_49999": {
"type": "percent",
"name": "Percent Earning $35,000 to $49,999"
},
"percent_with_earnings_50000_to_64999": {
"type": "percent",
"name": "Percent Earning $50,000 to $64,999"
},
"percent_with_earnings_65000_to_74999": {
"type": "percent",
"name": "Percent Earning $65,000 to $74,999"
},
"percent_with_earnings_75000_to_99999": {
"type": "percent",
"name": "Percent Earning $75,000 to $99,999"
},
"percent_with_earnings_over_100000": {
"type": "percent",
"name": "Percent Earning over $100,000"
}
},
"searchTerms": ["revenue", "budget", "dividend", "wage", "income", "compensation", "assets", "salary", "earnings"],
"sources": ["acs"]
},
"job_proximity": {
"fxf": "5pnb-mvzq",
"constraints": [["year", "desc"]],
"variables": {
"jobs-prox-idx-mean": {
"name": "Mean Job Proximity Index",
"stoplight": true
},
"jobs-prox-idx-median": {
"name": "Median Job Proximity Index",
"stoplight": true
}
},
"searchTerms": ["job location", "job opportunities", "employment location", "employment opportunities", "commute", "telecommute", "transportation", "traffic"],
"description": "The jobs proximity index quantifies access to employment opportunities in a region. Values are percentile ranked and range from 0 to 100, with higher values corresponding to better access to jobs. Data is computed for U.S. counties by applying summary statistics across all census tracts present in a county and is current as of 2015. <br /><br /> The underlying index quantifies the accessibility of a given residential neighborhood as a function of its distance to all job locations within a census tract, with distance to larger employment centers weighted more heavily. Specifically, a gravity model is used, where the accessibility (Ai) of a given residential block-group is a summary description of the distance to all job locations, with the distance from any single job location positively weighted by the size of employment (job opportunities) at that location and inversely weighted by the labor supply (competition) to that location.",
"sources": [["hud", "http://egis.hud.opendata.arcgis.com/datasets/636ecbfb0ee5480ea5b68e65991e4815_0"]]
},
"occupations": {
"fxf": "y8sk-t74p",
"constraints": ["occupation", ["year", "desc"]],
"variables": {
"employed": {
"name": "Number of Employees"
},
"percent_employed": {
"type": "percent"
}
},
"searchTerms": ["occupations", "wage", "profession", "business", "work", "job", "profession", "employment", "labor", "avocation"],
"sources": ["acs"]
}
}
},
"health": {
"datasets": {
"health_insurance" : {
"fxf": "vtkj-74g4",
"constraints": [["year", "desc"], "age", "race", "sex", "income"],
"variables": {
"pctui": {
"name": "Percent Without Health Insurance",
"type": "percent",
"stoplight": true,
"reverse": true
},
"nui": {
"name": "Number of Residents Without Insurance "
},
"pctic": {
"name": "Percent With Health Insurance",
"type": "percent",
"stoplight": true
},
"nipr": {
"name": "Number of Residents"
}
},
"searchTerms": ["health insurance", "healthcare", "coverage", "insurance"],
"description": "The Small Area Health Insurance Estimate (SAHIE) estimates health insurance coverage from the American Community Survey (ACS).",
"sources": ["sahie"]
},
"environmental_health": {
"fxf": "nax7-t6ga",
"constraints": [["year", "desc"]],
"variables": {
"env-health-idx-mean": {
"name": "Mean Environmental Health Hazard Index",
"stoplight": true
},
"env-health-idx-median": {
"name": "Median Environmental Health Hazard Index",
"stoplight": true
}
},
"searchTerms": ["environment", "pollution", "carbon", "emissions", "energy", "waste", "toxic", "smog", "climate", "radiation", "toxin", "hazard"],
"description": "The environmental health hazard exposure index summarizes potential exposure to harmful toxins including carcinogenic, respiratory, and neurological hazards. Values are percentile ranked and range from 0 to 100, with higher values corresponding to less exposure to harmful toxins. Data is computed for U.S. counties by applying summary statistics across all census tracts present in a county and is current as of 2015.",
"sources": [["hud", "http://egis.hud.opendata.arcgis.com/datasets/53a856bef6f24356abee30653399e94a_0"]]
},
"health_behaviors": {
"name": "Health Behaviors",
"fxf": "csbu-um39",
"constraints": [["year", "desc"]],
"variables": {
"access_to_exercise_opportunities_value": {
"type": "ratio",
"name": "Access to Exercise Opportunities Rate",
"stoplight": true
},
"adult_obesity_value": {
"type": "ratio",
"name": "Adult Obesity Rate",
"stoplight": true,
"reverse": true
},
"adult_smoking_value": {
"type": "ratio",
"name": "Adult Smoking Rate",
"stoplight": true,
"reverse": true
},
"excessive_drinking_value": {
"type": "ratio",
"name": "Excessive Drinking Rate",
"stoplight": true,
"reverse": true
},
"physical_inactivity_value": {
"type": "ratio",
"name": "Physical Inactivity Rate",
"stoplight": true,
"reverse": true
},
"alcohol_impaired_driving_deaths_value": {
"type": "ratio",
"name": "Percent of Traffic Deaths Involving Alcohol Impairment",
"stoplight": true,
"reverse": true
},
"sexually_transmitted_infections_value": {
"type": "per1000",
"name": "Sexually Transmitted Infections Rate",
"stoplight": true,
"reverse": true
}
},
"searchTerms": ["health", "fitness", "smoking", "alcohol", "tobacco", "obesity", "tobacco", "exercise", "junk food"],
"description": "The Robert Wood Johnson Foundation produces health rankings for states and counties. They explore many aspects of health including quality of life, health behaviors, access to clinical care, socioeconomic factors, and environmental factors.",
"sources": [["rwjf", "http://www.countyhealthrankings.org/rankings/data"]]
}
}
},
"economy": {
"datasets": {
"gdp": {
"name": "Gross Domestic Product",
"fxf": "jm8e-8hhx",
"constraints": [["year", "desc"]],
"variables": {
"per_capita_gdp": {
"name": "GDP per capita",
"type": "dollar",
"stoplight": true
},
"per_capita_gdp_percent_change": {
"name": "Annual change in GDP",
"type": "percent",
"stoplight": true
}
},
"searchTerms": ["gdp", "gross domestic product", "economy", "production", "revenue", "gross national product", "gnp"],
"description": "Gross Domestic Product (GDP) is a measure of the value of all goods and services produced in a region minus the value of the goods and services used up in production. Real GDP is adjusted for changes in the value of money (inflation and deflation) so that values can be compared between years. Data is available for U.S. states and metropolitan areas.",
"sources": [["bea", "http://www.bea.gov/regional/index.htm"]]
},
"personal_income": {
"name": "Personal Income",
"fxf": "a2ab-jm4u",
"constraints": [["year", "desc"]],
"variables": {
"annual_personal_income": {
"name": "Annual Personal Income",
"type": "dollar",
"stoplight": true
}
},
"searchTerms": ["income", "personal income", "average salary", "salaries", "wage", "wages", "salary", "salaries"],
"description": "Per capita personal income was computed using Census Bureau midyear population estimates. Estimates for 2010-2014 reflect county population estimates available as of March 2015. All dollar estimates are in current dollars (not adjusted for inflation).",
"sources": [["bea", "http://www.bea.gov/regional"]]
},
"consumption": {
"fxf": "skua-q4dv",
"constraints": [["year", "desc"]],
"variables": {
"personal_consumption_expenditures": {
"name": "Personal Consumption Expenditure",
"type": "dollar"
},
"expenditures_percent_change": {
"name": "Annual change in PCE",
"type": "percent"
}
},
"searchTerms": ["consumption", "consumer", "household consumption", "goods and services", "personal expenditure", "personal expenses", "pce"],
"description": "Personal consumption expenditure is a measure of goods and services purchased by or on behalf of households. Data is available for U.S. states and for the nation as a whole.",
"sources": ["bea"]
},
"cost_of_living": {
"name": "Cost of Living",
"fxf": "t64z-nedn",
"constraints": ["component", ["year", "desc"]],
"variables": {
"index": {
"name": "cost of living index",
"type": "count",
"stoplight": true,
"reverse": true
},
"rank": {
"name": "cost of living rank",
"type": "count",
"stoplight": true,
"reverse": true
}
},
"searchTerms": ["cost of living", "rent", "housing", "consumer price index", "expensive", "inexpensive", "housing cost", "home price"],
"description": "The cost of living index measures the difference in the price levels of goods and services across regions. The average cost of living index in the U.S. is 100, with higher values corresponding to costlier goods and services. Data is available for U.S. states and metropolitan areas.",
"sources": [["bea", "http://www.bea.gov/newsreleases/regional/rpp/rpp_newsrelease.htm"]]
},
"state_exports": {
"name": "Exports",
"fxf": "bqx9-w8qs",
"constraints": [["year", "desc"], ["month", "desc"]],
"variables": {
"all_goods": {
"name": "Value of All Goods",
"type": "dollar"
},
"manufactured": {
"name": "Value of All Manufactured Goods",
"type": "dollar"
},
"non_manufactured": {
"name": "Value of All Non-Manufactured Goods",
"type": "dollar"
}
},
"searchTerms": ["economy", "export", "trade", "international", "naics"],
"description": "Measurements of state exports of manufactured and non-manufactured goods",
"sources": [["foreign-trade", "https://www.census.gov/foreign-trade/statistics/state/origin_movement/index.html"]]
}
}
},
"crime": {
"name": "Public Safety",
"datasets": {
"fbi_ucr": {
"name": "Crime",
"fxf": "rzhy-aw2m",
"constraints": ["crime_type", ["year", "desc"]],
"variables": {
"count": {
"name": "Crime incident count",
"type": "count"
},
"rate": {
"name": "Crime incident rate per 100,000 people",
"type": "number",
"stoplight": true,
"reverse": true
}
},
"searchTerms": ["crime", "policing", "public safety", "arrest", "warrant", "police"],
"description": "Crime statistics are sourced from the FBI Uniform Crime Reporting Program and aggregated across year and crime type. The FBI does not gather statistics for all jurisdictions, so some localities may be missing. Normalization is based on the population values published with the UCR data itself, so rather than on US Census data, as the jurisdiction of the data may vary. Crime rates are normalized on a per 100K basis; specifically, the crime count is divided by the population count, the result is then multiplied by 100K and rounded to the nearest integer value. Latest data, displayed in charts and other visualizations, is from 2014.",
"sources": ["fbi_ucr"]
}
}
},
"finance": {
"datasets": {
"michigan_debt": {
"name": "Debt",
"fxf": "4eh8-kaka",
"domain": "data.michigan.gov",
"constraints": [["year", "desc"]],
"variables": {
"debt_health": {
"name": "Debt Per Capita",
"type": "dollar",
"stoplight": true,
"reverse": true
},
"debt_long_term": {
"name": "Long Term Debt",
"type": "dollar"
},
"debt_service": {
"name": "Debt Service",
"type": "ratio_1dec",
"stoplight": true,
"reverse": true
},
"debt_taxable_value": {
"name": "Debt as % of Taxable Value",
"type": "ratio",
"stoplight": true
},
"long_term_debt_revenue": {
"name": "Long Term Debt Revenue",
"type": "ratio"
}
},
"searchTerms": ["michigan", "financial indicators", "debt service", "revenue", "debt health", "dept per capita", "long term debt revenue"],
"description": "Debt refers to the total amount of outstanding dollars owed by a government entity.<br /><br />Debt Per Capita is the amount of outstanding debt per resident.<br /><br />Long Term Debt is the unmatured principal of bonds, warrants, notes, or other forms of noncurrent or long-term obligation indebtedness.<br /><br />Debt Service Ratio is the percentage of annual revenues committed to paying back debts.<br /><br />Debt as a Percentage of Taxable Value is the amount of long term debt compared to taxable value.<br /><br />Long Term Debt Revenue is the ratio of outstanding long term debts to revenues.",
"sources": ["f65"]
},
"michigan_general_fund": {
"name": "General Fund",
"fxf": "4eh8-kaka",
"domain": "data.michigan.gov",
"constraints": [["year", "desc"]],
"variables": {
"general_fund_health": {
"name": "General Fund Balance Per Capita",
"type": "dollar",
"stoplight": true
},
"general_fund_unrestricted_balance": {
"name": "General Fund Unrestricted Balance",
"type": "ratio",
"stoplight": true
},
"liquidity_ratio": {
"name": "Liquidity Ratio",
"type": "ratio",
"stoplight": true
},
"revenue_surplus": {
"name": "Revenue Surplus (Deficit)",
"type": "dollar",
"stoplight": true
},
"total_general_fund_expenditures": {
"name": "Total General Fund Expenditures",
"type": "dollar"
},
"total_general_fund_revenues": {
"name": "Total General Fund Revenue",
"type": "dollar"
}
},
"searchTerms": ["michigan", "financial indicators", "general fund", "liquidity ratio", "general fund health", "general fund balance"],
"description": "The General Fund is the primary budget for a government entity.<br /><br />General Fund Balance Per Capita is the balance of General Fund per resident<br /><br />General Fund Unrestricted Balance is the part of fund balance that is not restricted by external creditors (such as through debt covenants), grantors, contributors, or laws or regulations of other governments; nor restricted through imposition law through constitutional provisions or enabling legislation.<br /><br />Liquidity Ratio is the ratio of assets to liabilities for a government entity.<br /><br />Revenue Surplus (Deficit) is the excess general fund revenues over expenditures.<br /><br />Total General Fund Expenditures refers to decreases in net financial resources.<br /><br />Total General Fund Revenues are the gross receipts and receivables of a governmental unit derived from taxes and other sources.",
"sources": ["f65"]
},
"michigan_pensions": {
"name": "Pensions",
"fxf": "4eh8-kaka",
"domain": "data.michigan.gov",
"constraints": [["year", "desc"]],
"variables": {
"unfunded_pension_liability": {
"name": "Unfunded Pension Liability",
"type": "dollar",
"stoplight": true,
"reverse": true
},
"pension_health": {
"name": "Unfunded Pension Liability Per Capita",
"type": "dollar",
"stoplight": true,
"reverse": true
}
},
"searchTerms": ["michigan", "financial indicators", "unfunded pension liability", "pension health"],
"description": "Pensions are the accounts used to pay for retirement benefits for former government employees.<br /><br />Unfunded Pension Liability is the difference between the current assets plus projected investment returns minus the total of all projected employee payments.<br /><br />Unfunded Pension Liability Per Capita is the unfunded pension liability per resident.",
"sources": ["f65"]
},
"michigan_property_tax": {
"name": "Property Tax",
"fxf": "4eh8-kaka",
"domain": "data.michigan.gov",
"constraints": [["year", "desc"]],
"variables": {
"property_tax_health": {
"name": "Total Taxable Value Per Capita",
"type": "dollar",
"stoplight": true
},
"total_taxable_value": {
"name": "Total Taxable Value",
"type": "dollar"
}
},
"searchTerms": ["michigan", "financial indicators", "property tax", "total taxable value", "property tax health", "debt taxable value"],
"description": "Property Tax is the total amount of revenue collected based on a percentage of the value of all land and real property within a government entity.<br /><br />Total Taxable Value Per Capita is the total value of all land and real property per resident.<br /><br />Total Taxable Value is the financial worth assigned to property by taxing authorities that is used as a basis or factor against which the tax rate is applied.",
"sources": ["f65"]
}
}
}
}