美國十年人口普查資料查詢 (2020 PL / DHC / 2010 SF1)

us_query_decennial

台灣專屬MIT

**關鍵字 / Keywords**: 美國十年人口普查 2020 2010 2000 PL DHC redistricting census decennial dec pl dhc sf1 population race hispanic housing units state county block

Scope: US Census Bureau · Decennial Census.

Query the every-10-years constitutionally-mandated Census (used for
congressional apportionment, federal funding formulas, and as the
universe for every subsequent ACS estimate). Response matrix is
converted to `rows: [{col: val}, ...]`.

Endpoint:
    https://api.census.gov/data/{year}/dec/{dataset}?get={vars}&for={for_geo}&in={in_geo}

Args:
    year: 2020, 2010, 2000, 1990.
    variables: decennial variable codes. Common:
               - "P1_001N"  — total population (2020 PL / DHC)
               - "P2_002N"  — Hispanic / Latino population (2020 PL)
               - "H1_001N"  — total housing units (2020 PL)
               - "P0010001" — total population (2010 SF1)
    for_geo: same syntax as `us_query_acs`.
    in_geo: parent scope for hierarchical queries.
    dataset: decennial sub-dataset:
             - "pl"    — PL 94-171 (redistricting · earliest release)
             - "dhc"   — DHC (Demographic & Housing Characteristics,
                         2020 full detail)
             - "sf1"   — Summary File 1 (2010 / 2000 · legacy)
             - "dp"    — Demographic Profile (2020)
             - "ddhca" — Detailed DHC-A
             Default `"pl"` (available for 2020, 2010, 2000).

Returns dict with `columns`, `rows`, `total_rows`, `raw_matrix`.
Same gate / key logic as `us_query_acs`. License: US Public Domain
(17 USC §105).

輸入 schema

{
  "properties": {
    "year": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "string"
        }
      ],
      "title": "Year"
    },
    "variables": {
      "items": {
        "type": "string"
      },
      "title": "Variables",
      "type": "array"
    },
    "for_geo": {
      "title": "For Geo",
      "type": "string"
    },
    "in_geo": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "In Geo"
    },
    "dataset": {
      "default": "pl",
      "title": "Dataset",
      "type": "string"
    }
  },
  "required": [
    "year",
    "variables",
    "for_geo"
  ],
  "title": "us_query_decennialArguments",
  "type": "object"
}

呼叫方式

配置好 Twinkle Hub 的 MCP client 後，agent 會看到 us_query_decennial。直接讓它呼叫即可，例如：

# Ask Claude / any MCP client:
請用 us_query_decennial 處理 "…"。

# It will call:
us_query_decennial(input="…")

尚未設定 Client？

Claude Desktop 約 3 分鐘即可完成設定 — 下載 .mcpb 檔案並雙擊即可，或參閱文件中的各 Client 安裝步驟。

查看使用者設定文件

輸入 schema

呼叫​方式

呼叫方式