## Fiscal Monitor Database — October 2019 (dataset overview)

## Source details

**Canonical URL:** [Fiscal Monitor Database — October 2019 (dataset overview)](https://www.imf.org/-/media/files/publications/fiscal-monitor/2019/october/data/fiscalmonitordatabase-october2019.xlsx)

## Other formats

- [Markdown version](/-/media/files/publications/fiscal-monitor/2019/october/data/fiscalmonitordatabase-october2019.xlsx.md)
- [Structured JSON version](/-/media/files/publications/fiscal-monitor/2019/october/data/fiscalmonitordatabase-october2019.xlsx.json)

---

### Scope and structure
- Workbook contains multiple worksheets with macro-fiscal tables, carbon-pricing tables, figures, and country-level fiscal time series covering tables A1–A22 and B–D, plus numerous figures (sample rows shown).
- Worksheets include (sample names shown in file): "FM Database Oct. 2019", "Table of Contents", "Table 1.1.", "Table 1.2.", "Table 1.3.", "Table 1.4.", "Table 1.5.", "Table 1.6.", "Figure 1.1.", "Figure 1.2.", "Figure 1.3.", "Figure 1.4.", "Figure 1.5.", "Figure 1.6.", "Figure 1.7.", "Figure 1.8.", "Figure 1.9.", "Figure 1.10.", "Figure 1.11.", "Figure 1.12.", "Figure 1.13.", "Box 1.1.1.", "Table A1." through "Table A22.", "Table A23.", "Table A24.", "Table A25.", "Table B.", "Table C.", "Table D."

### Major topical themes (from worksheet titles and sample rows)
- Carbon pricing and mitigation instruments (Table 1.1., Table 1.2., Table 1.4., Table 1.6., Figures 1.1–1.6).
- Distributional incidence and quintile impacts of carbon policies (Figures 1.7., 1.11.).
- Macroeconomic and fiscal aggregates for country groupings and individual countries: general government overall balance, primary balance, cyclically adjusted balance, revenue, expenditure, gross debt, net debt (Tables A1–A22, A5–A8, A13–A16, etc.).
- Structural fiscal indicators and vulnerability metrics (Table A23., Table A24., Table A25.).
- Coverage and definitional metadata for Fiscal Monitor data across advanced economies, emerging markets, and low-income developing countries (Tables B., C., D.).

### Selected substantive data points and sample values (preserved exactly as in the file)
- Table 1.1. Selected Carbon Pricing Schemes, 2019 — Carbon taxes (sample rows):
  - Chile: Year Introduced 2017; Price 2019, $/Ton CO2 = 5; Coverage of GHGs 2018 (Million Tons) = 47; Coverage of GHGs 2018 (Percent) = 39
  - Colombia: Year Introduced 2017; Price 2019, $/Ton CO2 = 5; Coverage of GHGs 2018 (Million Tons) = 42; Coverage of GHGs 2018 (Percent) = 40
- Table 1.2. (comparison of mitigation approaches) — sample cell values:
  - Use of price/market mechanism: Carbon Tax = Yes; Emissions Trading Systems = Yes; Feebates = Yes; Regulations = No
- Table 1.4. Comparing Other Mitigation Policies with Carbon Taxes, 2030 — sample numeric entries for country rows (examples):
  - Argentina: Feebate/Regulatory Combination = 0.5144198668314849; ETS/Feebate/Regulatory Hybrid = 0.6627487204298013; Feebate/Regulatory Combination (Mitigation Cost relative) = 1.9439373641601265; ETS/Feebate/Regulatory Hybrid (Mitigation Cost relative) = 1.5088674925716745
  - Australia: Feebate/Regulatory Combination = 0.6663535710625459; ETS/Feebate/Regulatory Hybrid = 0.8971008797386557; Feebate/Regulatory Combination (Mitigation Cost relative) = 1.5007047961121185; ETS/Feebate/Regulatory Hybrid (Mitigation Cost relative) = 1.114701838539408
- Figure 1.1. CO2 emissions (sample row formulas/results and series):
  - "CO₂ from coal" share (computed) result = 27.01666507531968
  - "Current policies (baseline)" series (selected years): 2018 = 52.199999999999996; subsequent values include 52.599999999999994, 53, 53.47232456818631, 53.94464913637262, 54.41697370455893, 54.889298272745236, 55.361622840931545, 55.833947409117854, 56.306271977304164, 56.77859654549047, 57.25092111367678, 57.72324568186306
  - "2°C warming" series (selected years): 2018 = 52.199999999999996; later values include 51.6, 50.2, 48.800000000000004, 47.400000000000006, 46.00000000000001, 44.60000000000001, 43.20000000000001, 41.80000000000001, 40.40000000000001, 39
- Figure 1.2. Reduction from uniform carbon-price scenarios (sample rows):
  - G20 Emissions Weighted Average: Reduction from $25/ton carbon tax = 19.32227514456076; Extra Reduction from $50/ton carbon tax = 9.67787532156158; Extra Reduction from $75/ton carbon tax = 6.256238924234266; Percent needed to meet target (BL) = 12.383366257481718; For graph = 2.5
  - United States: Reduction from $25/ton = 14.110380364366137; Extra Reduction from $50/ton = 8.396263454965535; Extra Reduction from $75/ton = 5.874807479401724; Percent needed to meet target (BL) = 15.417563236427831; For graph = 7.5
  - United Kingdom: Reduction from $25/ton = 8.641732465402029; Extra Reduction from $50/ton = 4.770983076046498; Extra Reduction from $75/ton = 3.869074717352291; Percent needed to meet target (BL) = 7.668246762797086; For graph = 12.5
  - Turkey: Reduction from $25/ton = 14.075096604005392; Extra Reduction from $50/ton = 8.108742833056773; Extra Reduction from $75/ton = 5.650767779135016; Percent needed to meet target (BL) = 20.999999999999993; For graph = 17.5
  - South Africa: Reduction from $25/ton = 25.476017928011395; Extra Reduction from $50/ton = 11.836845502602465; Extra Reduction from $75/ton = 7.208859455465927; Percent needed to meet target (BL) = 10.842102537358835; For graph = 22.5
- Figure 1.3. Revenue effects (sample rows):
  - G20 GDP Weighted Average — Revenues in excess of BL = 0.6677219417000813; Extra Revenue from $50/ton carbon tax = 0.4902557084530049; Extra Revenue from $75/ton carbon tax = 0.41608347801578566
  - United States — Revenues in excess of BL = 0.40331729714438425; Extra Revenue from $50/ton = 0.32396759156939525; Extra Revenue from $75/ton = 0.28056665731700825
  - United Kingdom — Revenues in excess of BL = 0.3493110790577194; Extra Revenue from $50/ton = 0.19659240663840616; Extra Revenue from $75/ton = 0.18074338161027304
  - Turkey — Revenues in excess of BL = 0.7348922244436054; Extra Revenue from $50/ton = 0.5935720799133697; Extra Revenue from $75/ton = 0.5167684822169174
- Figure 1.4. Economic costs and environmental benefits (sample rows):
  - United States: Economic costs = -0.1189264141515162; Net domestic environmental benefits = 0.13058611101556536; Gross domestic environmental benefits = 0.24951252516708156; (column "Economic costs" appears to record negative values)
  - United Kingdom: Economic costs = -0.06044793291997061; Net domestic environmental benefits = 0.026420992566933824; Gross domestic environmental benefits = 0.08686892548690443
  - Turkey: Economic costs = -0.22201289711103306; Net domestic environmental benefits = 0.6389884119705722; Gross domestic environmental benefits = 0.8610013090816052
  - South Africa: Economic costs = -0.5110603578491896; Net domestic environmental benefits = -0.4413093172743624; Gross domestic environmental benefits = 0.06975104057482717
  - Saudi Arabia: Economic costs = -0.12232345418819619; Net domestic environmental benefits = 0.48535049947197034; Gross domestic environmental benefits = 0.6076739536601665
- Figure 1.6. Emissions-weighted average percent reduction in G20 CO2 below baseline (sample values):
  - Paris pledges = 12.38339295041376
  - $25/$50/ton carbon price floor = 21.62844458039945
  - $25/$50/ton carbon price floor, Paris pledges met = 24.16036800496673
  - $75/ton uniform carbon price = 35.2563893903566
- Distributional incidence (Figure 1.7. sample for Canada and United States, quintile impacts per fuel type; sample numeric entries preserved):
  - Canada, Quintile 1 (poorest): Electricity = 0.2845024; Natural gas = 0.7341121; Road fuels = 0.517551; Coal = 0; Indirect = 0.6194103999999998
  - United States, Quintile 1 (poorest): Electricity = 1.490351; Natural gas = 0.8252269; Road fuels = 0.5939996; Coal = 0.2098725; Indirect = 0.8139665000000003
- Figure 1.10. Policy costs, $ per ton reduced (sample rows):
  - Carbon tax with 75 percent of revenues used to cut income taxes: From mitigation responses = 17.449703042448533; Broader costs = 2.838723776223773
  - Carbon tax and dividend: From mitigation responses = 17.449703042448533; Broader costs = 51.92963286713288
  - Feebate combination: From mitigation responses = 27.697941337219895; Broader costs = 7.244607244607252

### Country fiscal time series (examples preserved exactly)
- Table A1. Advanced Economies: General Government Overall Balance, 2010–24 — sample country rows and values:
  - Australia (sample years): -5.127550589398539; -4.530477029392996; -3.5112867621818875; -2.813093369442299; -2.9185993002570925; -2.80245101354748; -2.5069826665571346; -1.6907721076511875; -0.8184135129427845; -0.7210788046302039; -0.7124936351815608; -0.28156226247703203; 0.07364461921670844; 0.16440454637403976; 0.1508238556323779
  - Canada (sample years): -4.73756142533794; -3.3087325534662524; -2.5245156255301824; -1.4947059976964086; 0.17459591797450688; -0.06209685401059766; -0.4167194632937305; -0.3100618816273393; -0.391787337076358; -0.7313727219852713; -0.7402268360502686; -0.6449860226468098; -0.5918382083676401; -0.5236309451462337; -0.3873938061850955
- Table A7. Advanced Economies: General Government Gross Debt, 2010–24 — sample rows:
  - Australia (sample years): 20.396818342426336; 24.064526597688484; 27.539620509191536; 30.498479762374775; 34.024766613010215; 37.68987829630672; 40.458068793935055; 41.06615016626285; 41.368558504888206; 41.75905788043095; 42.28351490227215; 41.26740086650444; 39.64783823790563; 37.93903884499854; 36.64106567312874
  - Belgium (sample years): 99.71980356120636; 102.59240794815183; 104.33237591644924; 105.45163518469903; 107.52338247276836; 106.34220621109552; 106.10920738097762; 103.40114988330392; 102.02993966784015; 101.00910131023797; 99.79951679218348; 98.76058056788324; 97.72788917827476; 96.45094454290025; 95.14237853612578

### Structural fiscal indicators (sample entries preserved)
- Table A23. Advanced Economies: Structural Fiscal Indicators — sample metrics for Australia:
  - Pension Spending Change, 2018–30 = 0.758149253731343
  - Net Present Value of Pension Spending Change, 2018–50 = 22.557588750671368
  - Health Care Spending Change, 2018–30 = 1.3092935338997647
  - Net Present Value of Health Care Spending Change, 2018–50 = 44.478045901401444
  - Gross Financing Need, 2019 = 2.291315349917257
  - Average Term to Maturity, 2019 (years) = 7.745205479452054
  - Debt to Average Maturity, 2019 = 5.391601035145843
  - Projected Interest Rate–Growth Differential, 2019–24 (percent) = -0.9707603858658976
  - Precrisis Overall Balance, 2000–07 = 1.095527272650828
  - Projected Overall Balance, 2019–24 = -0.22104361351094506
  - Nonresident Holding of General Government Debt, 2018 (percent of total) = 40.53094804217601

### Data characteristics and notes (from worksheets)
- Many cells include computed formulas and shared formulas; numeric precision is preserved in the workbook (examples: computed results with many decimal places such as 52.199999999999996; 19.32227514456076; 0.6677219417000813).
- Coverage and definitions tables (Tables B., C., D.) specify coverage categories such as "GG", "CG,SG,LG,TG", accounting practice codes like "A", "C", "Mixed", and valuation conventions ("Nominal", "Face").
- Several tables include placeholders or nonstandard values such as "…", "…", and "..." where data are not provided in the sample rows.

*Dataset: fiscalmonitordatabase-october2019 (workbook with multiple worksheets and country-level fiscal and carbon-pricing data; sample numeric values preserved exactly as in the file).*

---


_Source: https://www.imf.org/-/media/files/publications/fiscal-monitor/2019/october/data/fiscalmonitordatabase-october2019.xlsx_
