{
    "url": "https://www.spotsalary.com/salary/forensic-psychiatrist/geylegphug-bt-1064875901",
    "canonical": "https://www.spotsalary.com/salary/forensic-psychiatrist/geylegphug-bt-1064875901",
    "headline": "Forensic Psychiatrist Salary in Geylegphug, Bhutan",
    "description": "Median Forensic Psychiatrist salary in Geylegphug, Bhutan is $10.2K per year. Compare P10–P90 salary bands by experience, take-home pay and a five-year outlook.",
    "occupation": {
        "name": "Forensic Psychiatrist",
        "slug": "forensic-psychiatrist",
        "family": null,
        "soc_code": null,
        "aliases": [],
        "description": null
    },
    "location": {
        "name": "Geylegphug, Bhutan",
        "slug": "geylegphug-bt-1064875901",
        "type": "city",
        "iso2": "BT",
        "currency": "USD"
    },
    "period": 2026,
    "confidence": 68,
    "status": "published",
    "method": "nearest_neighbor",
    "updated_at": "2026-11-04T04:11:50+00:00",
    "salary_bands": [
        {
            "level": "entry",
            "years_experience": [
                0,
                2
            ],
            "p10": 4272.27,
            "p25": 5316.61,
            "p50": 6645.76,
            "p75": 7709.09,
            "p90": 9228.12,
            "base_share": 95,
            "bonus_share": 5,
            "equity_share": 0
        },
        {
            "level": "mid",
            "years_experience": [
                3,
                5
            ],
            "p10": 6572.73,
            "p25": 8179.4,
            "p50": 10224.25,
            "p75": 11860.12,
            "p90": 14197.1,
            "base_share": 88,
            "bonus_share": 8,
            "equity_share": 4
        },
        {
            "level": "senior",
            "years_experience": [
                6,
                9
            ],
            "p10": 10845,
            "p25": 13496,
            "p50": 16870.01,
            "p75": 19569.21,
            "p90": 23425.21,
            "base_share": 80,
            "bonus_share": 10,
            "equity_share": 10
        },
        {
            "level": "executive",
            "years_experience": [
                10,
                15
            ],
            "p10": 18403.64,
            "p25": 22902.31,
            "p50": 28627.89,
            "p75": 33208.35,
            "p90": 39751.86,
            "base_share": 65,
            "bonus_share": 15,
            "equity_share": 20
        }
    ],
    "take_home": {
        "currency": "USD",
        "tax_rate": null,
        "top_rate": 25,
        "method": "top_rate_only",
        "label": "top rate only",
        "standard_deduction": 0,
        "rebate": 0,
        "source": "Wikipedia — List of countries by tax rates",
        "source_url": "https://en.wikipedia.org/wiki/List_of_countries_by_tax_rates",
        "retrieved_at": "2026-10-23T00:00:00.000000Z",
        "verified": false,
        "notes": "Highest marginal individual rate (Wikipedia)",
        "bands": [
            {
                "level": "entry",
                "gross": 6645.76,
                "taxable": null,
                "tax": null,
                "effective_rate": null,
                "net_annual": null,
                "net_monthly": null,
                "method": "top_rate_only",
                "top_rate": 25,
                "standard_deduction": 0,
                "rebate": 0,
                "source": "Wikipedia — List of countries by tax rates",
                "source_url": "https://en.wikipedia.org/wiki/List_of_countries_by_tax_rates",
                "retrieved_at": "2026-10-23T00:00:00.000000Z",
                "verified": false,
                "notes": "Highest marginal individual rate (Wikipedia)"
            },
            {
                "level": "mid",
                "gross": 10224.25,
                "taxable": null,
                "tax": null,
                "effective_rate": null,
                "net_annual": null,
                "net_monthly": null,
                "method": "top_rate_only",
                "top_rate": 25,
                "standard_deduction": 0,
                "rebate": 0,
                "source": "Wikipedia — List of countries by tax rates",
                "source_url": "https://en.wikipedia.org/wiki/List_of_countries_by_tax_rates",
                "retrieved_at": "2026-10-23T00:00:00.000000Z",
                "verified": false,
                "notes": "Highest marginal individual rate (Wikipedia)"
            },
            {
                "level": "senior",
                "gross": 16870.01,
                "taxable": null,
                "tax": null,
                "effective_rate": null,
                "net_annual": null,
                "net_monthly": null,
                "method": "top_rate_only",
                "top_rate": 25,
                "standard_deduction": 0,
                "rebate": 0,
                "source": "Wikipedia — List of countries by tax rates",
                "source_url": "https://en.wikipedia.org/wiki/List_of_countries_by_tax_rates",
                "retrieved_at": "2026-10-23T00:00:00.000000Z",
                "verified": false,
                "notes": "Highest marginal individual rate (Wikipedia)"
            },
            {
                "level": "executive",
                "gross": 28627.89,
                "taxable": null,
                "tax": null,
                "effective_rate": null,
                "net_annual": null,
                "net_monthly": null,
                "method": "top_rate_only",
                "top_rate": 25,
                "standard_deduction": 0,
                "rebate": 0,
                "source": "Wikipedia — List of countries by tax rates",
                "source_url": "https://en.wikipedia.org/wiki/List_of_countries_by_tax_rates",
                "retrieved_at": "2026-10-23T00:00:00.000000Z",
                "verified": false,
                "notes": "Highest marginal individual rate (Wikipedia)"
            }
        ]
    },
    "outlook": {
        "direction": "stable",
        "inflation_pct": 3,
        "real_growth_pct": 0,
        "forecasts": [
            {
                "year": 2027,
                "scenario": "base",
                "p25": 9856.99,
                "p50": 10530.98,
                "p75": 11204.96,
                "confidence": 62,
                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "3.0% annual price growth",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Wage growth",
                        "note": "3.0% nominal wage trend",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Role demand trend",
                        "note": "0.0% annual role demand",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Hiring demand",
                        "note": "Demand index 50/100",
                        "weight": "medium",
                        "direction": "steady"
                    },
                    {
                        "name": "Automation exposure",
                        "note": "35% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "0.0% after 3.0% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "3.0% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
                    }
                ]
            },
            {
                "year": 2027,
                "scenario": "conservative",
                "p25": 9713.45,
                "p50": 10377.61,
                "p75": 11041.78,
                "confidence": 62,
                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "3.0% annual price growth",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Wage growth",
                        "note": "3.0% nominal wage trend",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Role demand trend",
                        "note": "0.0% annual role demand",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Hiring demand",
                        "note": "Demand index 50/100",
                        "weight": "medium",
                        "direction": "steady"
                    },
                    {
                        "name": "Automation exposure",
                        "note": "35% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "0.0% after 3.0% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "3.0% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
                    }
                ]
            },
            {
                "year": 2027,
                "scenario": "optimistic",
                "p25": 10000.54,
                "p50": 10684.34,
                "p75": 11368.14,
                "confidence": 62,
                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "3.0% annual price growth",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Wage growth",
                        "note": "3.0% nominal wage trend",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Role demand trend",
                        "note": "0.0% annual role demand",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Hiring demand",
                        "note": "Demand index 50/100",
                        "weight": "medium",
                        "direction": "steady"
                    },
                    {
                        "name": "Automation exposure",
                        "note": "35% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "0.0% after 3.0% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "3.0% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
                    }
                ]
            },
            {
                "year": 2029,
                "scenario": "base",
                "p25": 10367.91,
                "p50": 11172.31,
                "p75": 11976.72,
                "confidence": 50,
                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "3.0% annual price growth",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Wage growth",
                        "note": "3.0% nominal wage trend",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Role demand trend",
                        "note": "0.0% annual role demand",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Hiring demand",
                        "note": "Demand index 50/100",
                        "weight": "medium",
                        "direction": "steady"
                    },
                    {
                        "name": "Automation exposure",
                        "note": "35% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "0.0% after 3.0% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "3.0% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
                    }
                ]
            },
            {
                "year": 2029,
                "scenario": "conservative",
                "p25": 9921.51,
                "p50": 10691.28,
                "p75": 11461.05,
                "confidence": 50,
                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "3.0% annual price growth",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Wage growth",
                        "note": "3.0% nominal wage trend",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Role demand trend",
                        "note": "0.0% annual role demand",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Hiring demand",
                        "note": "Demand index 50/100",
                        "weight": "medium",
                        "direction": "steady"
                    },
                    {
                        "name": "Automation exposure",
                        "note": "35% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "0.0% after 3.0% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "3.0% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
                    }
                ]
            },
            {
                "year": 2029,
                "scenario": "optimistic",
                "p25": 10827.5,
                "p50": 11667.57,
                "p75": 12507.63,
                "confidence": 50,
                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "3.0% annual price growth",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Wage growth",
                        "note": "3.0% nominal wage trend",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Role demand trend",
                        "note": "0.0% annual role demand",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Hiring demand",
                        "note": "Demand index 50/100",
                        "weight": "medium",
                        "direction": "steady"
                    },
                    {
                        "name": "Automation exposure",
                        "note": "35% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "0.0% after 3.0% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "3.0% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
                    }
                ]
            },
            {
                "year": 2031,
                "scenario": "base",
                "p25": 10904.49,
                "p50": 11852.71,
                "p75": 12800.92,
                "confidence": 38,
                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "3.0% annual price growth",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Wage growth",
                        "note": "3.0% nominal wage trend",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Role demand trend",
                        "note": "0.0% annual role demand",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Hiring demand",
                        "note": "Demand index 50/100",
                        "weight": "medium",
                        "direction": "steady"
                    },
                    {
                        "name": "Automation exposure",
                        "note": "35% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "0.0% after 3.0% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "3.0% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
                    }
                ]
            },
            {
                "year": 2031,
                "scenario": "conservative",
                "p25": 10133.27,
                "p50": 11014.42,
                "p75": 11895.57,
                "confidence": 38,
                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "3.0% annual price growth",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Wage growth",
                        "note": "3.0% nominal wage trend",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Role demand trend",
                        "note": "0.0% annual role demand",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Hiring demand",
                        "note": "Demand index 50/100",
                        "weight": "medium",
                        "direction": "steady"
                    },
                    {
                        "name": "Automation exposure",
                        "note": "35% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "0.0% after 3.0% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "3.0% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
                    }
                ]
            },
            {
                "year": 2031,
                "scenario": "optimistic",
                "p25": 11721.97,
                "p50": 12741.28,
                "p75": 13760.58,
                "confidence": 38,
                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "3.0% annual price growth",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Wage growth",
                        "note": "3.0% nominal wage trend",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Role demand trend",
                        "note": "0.0% annual role demand",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Hiring demand",
                        "note": "Demand index 50/100",
                        "weight": "medium",
                        "direction": "steady"
                    },
                    {
                        "name": "Automation exposure",
                        "note": "35% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "0.0% after 3.0% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "3.0% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
                    }
                ]
            }
        ]
    },
    "skills": [],
    "sources": [
        {
            "name": "Trongsa, Bhutan",
            "url": null,
            "type": "nearest_donor",
            "tier": "derived"
        },
        {
            "name": "Jakar, Bhutan",
            "url": null,
            "type": "nearest_donor",
            "tier": "derived"
        },
        {
            "name": "Wangdue Phodrang, Bhutan",
            "url": null,
            "type": "nearest_donor",
            "tier": "derived"
        },
        {
            "name": "Thimphu, Bhutan",
            "url": null,
            "type": "nearest_donor",
            "tier": "derived"
        }
    ],
    "faqs": [
        {
            "question": "What is the average salary of a Forensic Psychiatrist in Geylegphug, Bhutan?",
            "answer": "SpotSalary models a median annual salary of $10.2K for a Forensic Psychiatrist in Geylegphug, Bhutan, or about $852 per month before tax. The middle 50% of the estimate ranges from $8.2K to $11.9K, with a full P10–P90 range of $6.6K to $14.2K. This is a modelled estimate, not a job offer."
        },
        {
            "question": "How much does an entry-level Forensic Psychiatrist earn in Geylegphug, Bhutan?",
            "answer": "The entry-level band for a Forensic Psychiatrist in Geylegphug, Bhutan centres on $6.6K per year (P25–P75: $5.3K–$7.7K). Entry-level pay typically covers the first 2 years of experience and depends on company size, skills and responsibilities."
        },
        {
            "question": "How much does a senior or executive Forensic Psychiatrist earn in Geylegphug, Bhutan?",
            "answer": "The executive band for a Forensic Psychiatrist in Geylegphug, Bhutan has a median of $28.6K per year and a P75 of $33.2K. Senior and executive packages often include a larger bonus and equity component; this benchmark shows the total-compensation split for each level."
        },
        {
            "question": "What is the salary outlook for a Forensic Psychiatrist in Geylegphug, Bhutan?",
            "answer": "The outlook is stable. In the base scenario, median pay reaches $11.9K by 2031, about 15.9% above today before inflation and 0.0% per year in real terms after 3.0% inflation. Scenario bands widen over time and are not guarantees."
        },
        {
            "question": "How does SpotSalary calculate these salary estimates?",
            "answer": "Estimates are anchored to external market signals — GDP per capita PPP, inflation, wage growth, cost of living, demand and automation exposure — and synthesised with AI. Deterministic validation rejects implausible outputs. This report carries 68% confidence."
        }
    ],
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        "occupation_hub": "https://www.spotsalary.com/occupations/forensic-psychiatrist",
        "location_hub": "https://www.spotsalary.com/locations/geylegphug-bt-1064875901",
        "all_salaries": "https://www.spotsalary.com/salaries"
    },
    "citation": {
        "plain": "Forensic Psychiatrist Salary in Geylegphug, Bhutan. SpotSalary. https://www.spotsalary.com/salary/forensic-psychiatrist/geylegphug-bt-1064875901",
        "updated_at": "2026-11-04T04:11:50+00:00"
    }
}