Medicare Advantage, Part D, Medicaid

Medicare Advantage Geographic Variation, national and state, 2016-2023

medicare_silver.fact_ma_geographic_variation·live·silver

Rows

432

Columns

History

N/A

Card

nocolumns only

Typed tools

What it is

1MA enrollees' demographics and service use per state and nationally per year, 2016-2023, from encounter data: users, share of enrollees (a proportion 0-1) and stays / days / events per 1,000 for 15 service types.
22023 national: 31,848,969 full-year MA enrollees, 13.29% with an inpatient stay, 205.16 stays per 1,000.

Grain

Key	Grain
N/A	1One row per (year, state, bene_geo_cd) per release; is_current marks the newest release.

Columns (79)

Column	Type	Meaning
`publisher_version`	string
`year`	int
`bene_geo_lvl`	string
`state`	string
`bene_geo_cd`	string
`benes_ma_cnt`	bigint
`bene_avg_age`	double
`bene_feml_pct`	double
`bene_male_pct`	double
`bene_race_wht_pct`	double
`bene_race_black_pct`	double
`bene_race_hspnc_pct`	double
`bene_race_othr_pct`	double
`bene_dual_pct`	double
`benes_ip_stay_cnt`	bigint
`benes_ip_pct`	double
`ip_stays_per_1000_benes`	double
`ip_days_per_1000_benes`	double
`benes_irf_cnt`	bigint
`benes_irf_pct`	double
`irf_stays_per_1000_benes`	double
`irf_days_per_1000_benes`	double
`benes_ltc_cnt`	bigint
`benes_ltc_pct`	double
`ltc_stays_per_1000_benes`	double
`ltc_days_per_1000_benes`	double
`benes_snf_cnt`	bigint
`benes_snf_pct`	double
`snf_stays_per_1000_benes`	double
`snf_days_per_1000_benes`	double
`benes_em_cnt`	bigint
`benes_em_pct`	double
`em_events_per_1000_benes`	double
`benes_prcdrs_cnt`	bigint
`benes_prcdrs_pct`	double
`prcdrs_events_per_1000_benes`	double
`benes_tests_cnt`	bigint
`benes_tests_pct`	double
`tests_events_per_1000_benes`	double
`benes_imgng_cnt`	bigint
`benes_imgng_pct`	double
`imgng_events_per_1000_benes`	double
`benes_dme_cnt`	bigint
`benes_dme_pct`	double
`dme_events_per_1000_benes`	double
`benes_amblnc_cnt`	bigint
`benes_amblnc_pct`	double
`amblnc_events_per_1000_benes`	double
`benes_trtmnt_cnt`	bigint
`benes_trtmnt_pct`	double
`trtmnt_events_per_1000_benes`	double
`benes_op_dlys_cnt`	bigint
`benes_op_dlys_pct`	double
`op_dlys_visits_per_1000_benes`	double
`benes_fqhc_rhc_cnt`	bigint
`benes_fqhc_rhc_pct`	double
`fqhc_rhc_visits_per_1000_benes`	double
`benes_op_cnt`	bigint
`benes_op_pct`	double
`op_visits_per_1000_benes`	double
`benes_er_visits_cnt`	bigint
`benes_er_visits_pct`	double
`er_visits_per_1000_benes`	double
`suppressed_measure_count`	int
`observed_period`	date
`asserted_at`	date
`effective_period_start`	date
`effective_period_end`	date
`cms_vintage_sequence`	int
`parse_revision`	int
`parser_artifact_hash`	string
`source_url`	string
`sha256_content_hash`	string
`source_id`	string
`is_current`	boolean
`bronze_object_key`	string
`s3_version_id`	string
`vintage_tag`	string
`drug_source_version_id`	string

Query it

describe_data_source(source_fqn="medicare_silver.fact_ma_geographic_variation")     # the card, live
query_substrate(sql="SELECT * FROM medicare_silver.fact_ma_geographic_variation WHERE <filter> LIMIT 100")

Item	Value
Typed tools that read it	none; raw SQL
Identity key	`year,state,bene_geo_cd`
Join	`how_to_join(source_fqn="medicare_silver.fact_ma_geographic_variation")`
Raw door	Athena (read-only via query_substrate): medicare_silver.fact_ma_geographic_variation
Note	Register source cms_ma_geographic_variation (w3, serve raw). RAW. Loaded 2026-09-29 (verify_tracker_loads PASS 2026-09-30: 432 rows = 8 years x 54 geographies, 450 suppressed cells = the publisher's blanks, 0 duplicate keys; Athena 93581620, e78d361f, 3eb78e12). Cell reconciliation PASS (76 fields; every count column summed over the file). Registered 2026-09-30.

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