Healthcare Cost and Utilization Project (HCUPnet)
Immediate access to health statistics from the most extensive longitudinal hospital care data collection in the United States.
For more information about HCUP, visit https://hcup-us.ahrq.gov
- Consumer Assessment of Healthcare Providers and Systems (CAHPS)
- Healthcare Cost and Utilization Project (HCUP) Fast Stats
- Healthcare Cost and Utilization Project (HCUP) NET
- Medical Expenditure Panel Survey (MEPS) Household Component (HC)
- Medical Expenditure Panel Survey (MEPS) Insurance Component (IC)
- National Healthcare Quality and Disparities Reports (NHQDR)
Explore the HCUPnet Data Tools
HCUPnet is an online data tool based on data from the Healthcare Cost and Utilization Project (HCUP).
The data tool provides healthcare statistics and information for hospital inpatient and emergency department settings, as well as population-based healthcare data on counties. Generate tables and graphs on national and regional statistics and trends for community hospitals in the United States.
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Inpatient Setting
Statistics on stays in hospitals. Statistics are from the HCUP National (Nationwide) Inpatient Sample (NIS), Kids’ Inpatient Database (KID), and State Inpatient Databases (SID) participating States.
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Emergency Department Setting
Statistics on emergency department visits. Statistics are from HCUP Nationwide Emergency Department Sample (NEDS), State Emergency Department Databases (SEDD) and State Inpatient Databases (SID) participating States.
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Readmissions
Statistics on national hospital readmissions for all patients regardless of the expected payer for the hospital stay. Statistics are from the HCUP Nationwide Readmissions Database (NRD).
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Community Inpatient Statistics
Statistics on hospital stays by patient county or substate region. Data are from the HCUP State Inpatient Databases (SID) of participating States.
Direct link to this dashboard: https://datatools.ahrq.gov/hcupnet?tab=inpatient-setting&dash=30
National Inpatient — All Stays
The NIS is part of a family of databases and software tools developed for the Healthcare Cost and Utilization Project (HCUP). The NIS is the largest publicly available all-payer inpatient healthcare database designed to produce U.S. regional and national estimates of inpatient utilization, access, costs, quality, and outcomes. These databases are created by AHRQ through a Federal-State-Industry partnership. Refer to the NIS database documentation for more information.
Select the Download Data button for an accessible MS Excel version of the data visualization. The file size will depend on parameters selected.
If display is blank, please modify filter selections
Suggested Citation: HCUPnet, Healthcare Cost and Utilization Project. Agency for Healthcare Research and Quality, Rockville, MD. https://datatools.ahrq.gov/hcupnet.
Notes:
Costs and charges are in current, nominal dollars (not adjusted for inflation).
Percentages may not total to 100 due to rounding or missing information.
For more information about HCUP data see http://hcup-us.ahrq.gov/
Direct link to this dashboard: https://datatools.ahrq.gov/hcupnet?tab=inpatient-setting&dash=33
National Inpatient — Diagnoses and Procedures
The NIS is part of a family of databases and software tools developed for the Healthcare Cost and Utilization Project (HCUP). The NIS is the largest publicly available all-payer inpatient healthcare database designed to produce U.S. regional and national estimates of inpatient utilization, access, costs, quality, and outcomes. These databases are created by AHRQ through a Federal-State-Industry partnership. Refer to the NIS database documentation for more information.
Please note, HCUPnet no longer offers the option to query individual ICD-9-CM or ICD-10-CM/PCS codes. Instead, annual counts of discharges for each individual ICD-9-CM and ICD-10-CM/PCS code in the NIS are available in the ‘Data Elements’ section of the NIS documentation page on HCUP-US. For analyses performed at the level of individual ICD-9-CM or ICD-10-CM/PCS codes, please purchase HCUP data through the Central Distributor.
Select the Download Data button for an accessible MS Excel version of the data visualization. The file size will depend on parameters selected.
If display is blank, please modify filter selections
Suggested Citation: HCUPnet, Healthcare Cost and Utilization Project. Agency for Healthcare Research and Quality, Rockville, MD. https://datatools.ahrq.gov/hcupnet.
Notes:
Costs and charges are in current, nominal dollars (not adjusted for inflation).
Percentages may not total to 100 due to rounding or missing information.
For more information about HCUP data see http://hcup-us.ahrq.gov/
Direct link to this dashboard: https://datatools.ahrq.gov/hcupnet?tab=inpatient-setting&dash=34
State Inpatient — All Stays
The SID are State-specific files that contain all inpatient care records in participating states. The SID includes inpatient discharge records from community hospitals in that State. The SID files encompass all patients, regardless of payer, providing a unique view of inpatient care in a defined market or State over time. These databases are created by AHRQ through a Federal-State-Industry partnership. Refer to the SID documentation for database information.
Suggested Citation: HCUPnet, Healthcare Cost and Utilization Project. Agency for Healthcare Research and Quality, Rockville, MD. https://datatools.ahrq.gov/hcupnet.
Notes:
Costs and charges are in current, nominal dollars (not adjusted for inflation).
Percentages may not total to 100 due to rounding or missing information.
State-level statistics are based on the hospital State, not the patient residence State.
For more information about HCUP data see http://hcup-us.ahrq.gov/
Direct link to this dashboard: https://datatools.ahrq.gov/hcupnet?tab=inpatient-setting&dash=35
State Inpatient — Diagnoses and Procedures
The SID are State-specific files that contain all inpatient care records in participating states. The SID includes inpatient discharge records from community hospitals in that State. The SID files encompass all patients, regardless of payer, providing a unique view of inpatient care in a defined market or State over time. These databases are created by AHRQ through a Federal-State-Industry partnership. Refer to the SID documentation for database information.
Please note, HCUPnet no longer offers the option to query individual ICD-9-CM or ICD-10-CM/PCS codes. Instead, annual counts of discharges for each individual ICD-9-CM and ICD-10-CM/PCS code in the NIS are available in the ‘Data Elements’ section of the NIS documentation page on HCUP-US. For analyses performed at the level of individual ICD-9-CM or ICD-10-CM/PCS codes, please purchase HCUP data through the Central Distributor.
Select the Download Data button for an accessible MS Excel version of the data visualization. The file size will depend on parameters selected.
If display is blank, please modify filter selections
Suggested Citation: HCUPnet, Healthcare Cost and Utilization Project. Agency for Healthcare Research and Quality, Rockville, MD. https://datatools.ahrq.gov/hcupnet.
Notes:
Costs and charges are in current, nominal dollars (not adjusted for inflation).
Percentages may not total to 100 due to rounding or missing information.
State-level statistics are based on the hospital State, not the patient residence State.
For more information about HCUP data see http://hcup-us.ahrq.gov/
Direct link to this dashboard: https://datatools.ahrq.gov/hcupnet?tab=inpatient-setting&dash=36
Children Only — All Stays
The KID is part of a family of databases and software tools developed for the Healthcare Cost and Utilization Project (HCUP). The KID is the largest publicly available all-payer pediatric inpatient care database in the United States, containing data from two to three million hospital stays designed to produce U.S. regional and national estimates of inpatient utilization, access, costs, quality, and outcomes. These databases are created by AHRQ through a Federal-State-Industry partnership. Refer to the KID database documentation for more information.
Suggested Citation: HCUPnet, Healthcare Cost and Utilization Project. Agency for Healthcare Research and Quality, Rockville, MD. https://datatools.ahrq.gov/hcupnet.
Notes:
Costs and charges are in current, nominal dollars (not adjusted for inflation).
Percentages may not total to 100 due to rounding or missing information.
For more information about HCUP data see http://hcup-us.ahrq.gov/
Direct link to this dashboard: https://datatools.ahrq.gov/hcupnet?tab=inpatient-setting&dash=37
Children Only — Diagnoses and Procedures
The KID is part of a family of databases and software tools developed for the Healthcare Cost and Utilization Project (HCUP). The KID is the largest publicly available all-payer pediatric inpatient care database in the United States, containing data from two to three million hospital stays designed to produce U.S. regional and national estimates of inpatient utilization, access, costs, quality, and outcomes. AHRQ creates these databases through a Federal-State-Industry partnership. Refer to the KID database documentation for more information.
Please note, HCUPnet no longer offers the option to query individual ICD-9-CM or ICD-10-CM/PCS codes. Instead, annual counts of discharges for each individual ICD-9-CM and ICD-10-CM/PCS code in the KID are available in the ‘Data Elements’ section of the KID documentation page on HCUP-US. For analyses performed at the level of individual ICD-9-CM or ICD-10-CM/PCS codes, please purchase HCUP data through the Central Distributor.
Suggested Citation: HCUPnet, Healthcare Cost and Utilization Project. Agency for Healthcare Research and Quality, Rockville, MD. https://datatools.ahrq.gov/hcupnet.
Notes:
Costs and charges are in current, nominal dollars (not adjusted for inflation).
Percentages may not total to 100 due to rounding or missing information.
For more information about HCUP data see http://hcup-us.ahrq.gov/
Direct link to this dashboard: https://datatools.ahrq.gov/hcupnet?tab=emergency-department-setting&dash=41
National Emergency Department — All ED Visits
The NEDS consists of ED visits, regardless of whether they result in admission. Its large sample size allows analysis across hospital types and study of relatively uncommon disorders and procedures. AHRQ creates these databases through a Federal-State-Industry partnership. Refer to the NEDS database documentation for database information.
Select the Download Data button for an accessible MS Excel version of the data visualization. The file size will depend on parameters selected.
If display is blank, please modify filter selections
Suggested Citation: HCUPnet, Healthcare Cost and Utilization Project. Agency for Healthcare Research and Quality, Rockville, MD. https://datatools.ahrq.gov/hcupnet.
Notes:
Costs and charges are in current, nominal dollars (not adjusted for inflation).
Percentages may not total to 100 due to rounding or missing information.
For more information about HCUP data see http://hcup-us.ahrq.gov/
Direct link to this dashboard: https://datatools.ahrq.gov/hcupnet?tab=emergency-department-setting&dash=44
National Emergency Department — Diagnoses
The NEDS consists of ED visits, regardless of whether they result in admission. Its large sample size allows analysis and study of across hospital types and the study of relatively uncommon disorders and procedures. AHRQ creates these databases through a Federal-State-Industry partnership. Refer to the NEDS database documentation for database information.
Please note, HCUPnet no longer offers the option to query individual ICD-9-CM or ICD-10-CM codes. Instead, annual counts of discharges for each individual ICD-9-CM and ICD-10-CM code in the NEDS are available in the ‘Data Elements’ section of the NEDS documentation page on HCUP-US. For analyses performed at the level of individual ICD-9-CM or ICD-10-CM codes, please purchase HCUP data through the Central Distributor.
Select the Download Data button for an accessible MS Excel version of the data visualization. The file size will depend on parameters selected.
If display is blank, please modify filter selections
Suggested Citation: HCUPnet, Healthcare Cost and Utilization Project. Agency for Healthcare Research and Quality, Rockville, MD. https://datatools.ahrq.gov/hcupnet.
Notes:
Costs and charges are in current, nominal dollars (not adjusted for inflation).
Percentages may not total to 100 due to rounding or missing information.
For more information about HCUP data see http://hcup-us.ahrq.gov/
Direct link to this dashboard: https://datatools.ahrq.gov/hcupnet?tab=emergency-department-setting&dash=45
State Emergency Department — All ED Visits
This dashboard describes State-specific ED visits, and includes ED visits that result in admission. These data are created by AHRQ through a Federal-State-Industry partnership. Refer to SEDD database documentation for database information. Information on patients seen in the emergency room and then admitted to the hospital is included in the State Inpatient Databases (SID).
Select the Download Data button for an accessible MS Excel version of the data visualization. The file size will depend on parameters selected.
If display is blank, please modify filter selections
Suggested Citation: HCUPnet, Healthcare Cost and Utilization Project. Agency for Healthcare Research and Quality, Rockville, MD. https://datatools.ahrq.gov/hcupnet.
Notes:
Costs and charges are in current, nominal dollars (not adjusted for inflation).
Percentages may not total to 100 due to rounding or missing information.
State-level statistics are based on the hospital State, not the patient residence State.
For more information about HCUP data see http://hcup-us.ahrq.gov/
Direct link to this dashboard: https://datatools.ahrq.gov/hcupnet?tab=emergency-department-setting&dash=46
State Emergency Department — Diagnoses
This dashboard describes State-specific ED visits and includes ED visits that result in admission. These data are created by AHRQ through a Federal-State-Industry partnership. Refer to SEDD database documentation for database information.
Please note, HCUPnet no longer offers the option to query individual ICD-9-CM or ICD-10-CM codes. Instead, annual counts of discharges for each individual ICD-9-CM and ICD-10-CM code in the NEDS are available in the ‘Data Elements’ section of the NEDS documentation page on HCUP-US. For analyses performed at the level of individual ICD-9-CM or ICD-10-CM codes, please purchase HCUP data through the Central Distributor.
Select the Download Data button for an accessible MS Excel version of the data visualization. The file size will depend on parameters selected.
If display is blank, please modify filter selections
Suggested Citation: HCUPnet, Healthcare Cost and Utilization Project. Agency for Healthcare Research and Quality, Rockville, MD. https://datatools.ahrq.gov/hcupnet.
Notes:
Costs and charges are in current, nominal dollars (not adjusted for inflation).
Percentages may not total to 100 due to rounding or missing information.
State-level statistics are based on the hospital State, not the patient residence State.
For more information about HCUP data see http://hcup-us.ahrq.gov/
Direct link to this dashboard: https://datatools.ahrq.gov/hcupnet?tab=readmissions&dash=47
National Inpatient Readmissions — All Stays
The Nationwide Readmissions Database (NRD) is a set of inpatient databases in the HCUP family designed for readmission analyses.
The NRD is a unique and powerful database designed to support various types of analyses of national readmission rates for all patients, regardless of the expected payer for the hospital stay. Refer to the NRD database documentation for more information.
Select the Download Data button for an accessible MS Excel version of the data visualization. The file size will depend on parameters selected.
If display is blank, please modify filter selections
Suggested Citation: HCUPnet, Healthcare Cost and Utilization Project. Agency for Healthcare Research and Quality, Rockville, MD. https://datatools.ahrq.gov/hcupnet.
Notes:
Costs and charges are in current, nominal dollars (not adjusted for inflation).
Percentages may not total to 100 due to rounding or missing information.
For more information about HCUP data see http://hcup-us.ahrq.gov/
Direct link to this dashboard: https://datatools.ahrq.gov/hcupnet?tab=readmissions&dash=48
National Inpatient Readmissions — Diagnoses and Procedures
The Nationwide Readmissions Database (NRD) is a set of inpatient databases in the HCUP family designed for readmission analyses.
The NRD is a unique and powerful database designed to support various types of analyses of national readmission rates for all patients, regardless of the expected payer for the hospital stay. Refer to the NRD database documentation for more information.
Select the Download Data button for an accessible MS Excel version of the data visualization. The file size will depend on parameters selected.
If display is blank, please modify filter selections
Suggested Citation: HCUPnet, Healthcare Cost and Utilization Project. Agency for Healthcare Research and Quality, Rockville, MD. https://datatools.ahrq.gov/hcupnet.
Notes:
Costs and charges are in current, nominal dollars (not adjusted for inflation).
Percentages may not total to 100 due to rounding or missing information.
For more information about HCUP data see http://hcup-us.ahrq.gov/
Direct link to this dashboard: https://datatools.ahrq.gov/hcupnet?tab=community-inpatient-statistics&dash=49
Community-Level — All Stays
Community-Level Statistics (CLS) are from the Agency for Healthcare Research and Quality (AHRQ), Healthcare Cost and Utilization Project (HCUP), State Inpatient Databases (SID), based on data collected by individual States and provided to AHRQ by State Partners. Statistics are aggregated to the patient residence (county, substate region, and State). Weighted national estimates are from the HCUP National (Nationwide) Inpatient Sample (NIS). For more information, see “Calculating Community-Level Statistics for HCUPnet: Methods” PDF.
Querying a single year will produce smaller cell sizes and generally more cell suppression than querying a three-year period. Similarly, county queries will produce smaller cell sizes and more cell suppression than region queries, because a region generally comprises multiple counties.
Select the Download Data button for an accessible MS Excel version of the data visualization. The file size will depend on parameters selected.
If display is blank, please modify filter selections
Suggested Citation: HCUPnet, Healthcare Cost and Utilization Project. Agency for Healthcare Research and Quality, Rockville, MD. https://datatools.ahrq.gov/hcupnet.
Notes:
Costs are in current, nominal dollars (not adjusted for inflation).
Community-Level Statistics are based on the patient residence State, not the hospital State.
For more information about HCUP data see http://hcup-us.ahrq.gov/
Direct link to this dashboard: https://datatools.ahrq.gov/hcupnet?tab=community-inpatient-statistics&dash=50
Community-Level Statistics — Inpatient Stays, Quality Indicators
Community-Level Statistics (CLS) are from the Agency for Healthcare Research and Quality (AHRQ), Healthcare Cost and Utilization Project (HCUP), State Inpatient Databases (SID), based on data collected by individual States and provided to AHRQ by State Partners. Statistics are aggregated to the patient residence (county, substate region, and State). Weighted national estimates are from the HCUP National (Nationwide) Inpatient Sample (NIS). For more information, see “Calculating Community-Level Statistics for HCUPnet: Methods” PDF. See also AHRQ Quality Indicators.
Querying a single data year will produce small cell sizes and generally more cell suppression than querying a three-year period. Similarly, county queries will produce smaller cell sizes and more cell suppression than region queries, because region generally comprises multiple counties.
Select the Download Data button for an accessible MS Excel version of the data visualization. The file size will depend on parameters selected.
If display is blank, please modify filter selections
Suggested Citation: HCUPnet, Healthcare Cost and Utilization Project. Agency for Healthcare Research and Quality, Rockville, MD. https://datatools.ahrq.gov/hcupnet.
Notes:
Community-Level Statistics are based on the patient residence State, not the hospital State.
For more information about HCUP data see http://hcup-us.ahrq.gov/
Direct link to this dashboard: https://datatools.ahrq.gov/hcupnet?tab=community-inpatient-statistics&dash=51
Community-Level Statistics — lnpatient Stays by Clinical Classification Software Refined (CCSR) Diagnoses
Community-Level Statistics (CLS) are from the Agency for Healthcare Research and Quality (AHRQ), Healthcare Cost and Utilization Project (HCUP), State Inpatient Databases (SID), based on data collected by individual States and provided to AHRQ by State Partners. Statistics are aggregated to the patient residence (county, substate region, and State). Weighted national estimates are from the HCUP National (Nationwide) Inpatient Sample (NIS). For more information, see “Calculating Community-Level Statistics for HCUPnet: Methods” PDF. See also Clinical Classifications Software Refined (CCSR) for ICD-10-CM Diagnoses.
Querying a single data year will produce smaller cell sizes and generally more cell suppression than querying a three-year period. Similarly, county queries will produce small cell sizes and more cell suppression than region queries, because a region generally comprises multiple counties.
Select the Download Data button for an accessible MS Excel version of the data visualization. The file size will depend on parameters selected.
If display is blank, please modify filter selections
Suggested Citation: HCUPnet, Healthcare Cost and Utilization Project. Agency for Healthcare Research and Quality, Rockville, MD. https://datatools.ahrq.gov/hcupnet.
Notes:
Costs are in current, nominal dollars (not adjusted for inflation).
Community-Level Statistics are based on the patient residence State, not the hospital State.
For more information about HCUP data see http://hcup-us.ahrq.gov/
Direct link to this dashboard: https://datatools.ahrq.gov/hcupnet?tab=community-inpatient-statistics&dash=52
Community-Level Statistics — Inpatient Stays by Clinical Classification Software (CCS) Diagnoses
Community-Level Statistics (CLS) are from the Agency for Healthcare Research and Quality (AHRQ), Healthcare Cost and Utilization Project (HCUP), State Inpatient Databases (SID), based on data collected by individual States and provided to AHRQ by State Partners. Statistics are aggregated to the patient residence (county, substate region, and State). Weighted national estimates are from the HCUP National (Nationwide) Inpatient Sample (NIS). For more information, see “Calculating Community-Level Statistics for HCUPnet: Methods” PDF. See also Clinical Classification Software (CCS) for ICD-9-CM.
Querying a single data year will produce smaller cell sizes and generally more cell suppression than querying a three-year period. Similarly, county queries will produce smaller cell sizes and more cell suppressions than region queries, because a region generally comprises multiple counties.
Select the Download Data button for an accessible MS Excel version of the data visualization. The file size will depend on parameters selected.
If display is blank, please modify filter selections
Suggested Citation: HCUPnet, Healthcare Cost and Utilization Project. Agency for Healthcare Research and Quality, Rockville, MD. https://datatools.ahrq.gov/hcupnet.
Notes:
Costs are in current, nominal dollars (not adjusted for inflation).
Community-Level Statistics are based on the patient residence State, not the hospital State.
For more information about HCUP data see http://hcup-us.ahrq.gov/
Direct link to this dashboard: https://datatools.ahrq.gov/hcupnet?tab=community-inpatient-statistics&dash=53
Community-Level Statistics — Inpatient Stays by Medicare Severity – Diagnosis Related Groups
Community-Level Statistics (CLS) are from the Agency for Healthcare Research and Quality (AHRQ), Healthcare Cost and Utilization Project (HCUP), State Inpatient Databases (SID), based on data collected by individual States and provided to AHRQ by State Partners. Statistics are aggregated to the patient residence (county, substate region, and State). Weighted national estimates are from the HCUP National (Nationwide) Inpatient Sample (NIS). For more information, see “Calculating Community-Level Statistics for HCUPnet: Methods” PDF.
Querying a single data year will produce smaller cell sizes and generally more cell suppression than querying a three-year period. Similarly, county queries will produce smaller cell sizes and more cell suppressions than region queries, because a region generally comprises multiple counties.
Select the Download Data button for an accessible MS Excel version of the data visualization. The file size will depend on parameters selected.
If display is blank, please modify filter selections
Suggested Citation: HCUPnet, Healthcare Cost and Utilization Project. Agency for Healthcare Research and Quality, Rockville, MD. https://datatools.ahrq.gov/hcupnet.
Notes:
Costs are in current, nominal dollars (not adjusted for inflation).
Community-Level Statistics are based on the patient residence State, not the hospital State.
For more information about HCUP data see http://hcup-us.ahrq.gov/
Direct link to this dashboard: https://datatools.ahrq.gov/hcupnet?tab=community-inpatient-statistics&dash=54
Community-Level Statistics — Inpatient Stays by Major Diagnostic Categories
Community-Level Statistics (CLS) are from the Agency for Healthcare Research and Quality (AHRQ), Healthcare Cost and Utilization Project (HCUP), State Inpatient Databases (SID), based on data collected by individual States and provided to AHRQ by State Partners. Statistics are aggregated to the patient residence (county, substate region, and State). Weighted national estimates are from the HCUP National (Nationwide) Inpatient Sample (NIS). For more information, see “Calculating Community-Level Statistics for HCUPnet: Methods” PDF.
Querying a single data year will produce smaller cell sizes and generally more cell suppression than querying a three-year period. Similarly, county queries will produce smaller cell sizes and more cell suppressions than region queries, because a region generally comprises multiple counties.
Select the Download Data button for an accessible MS Excel version of the data visualization. The file size will depend on parameters selected.
If display is blank, please modify filter selections
Suggested Citation: HCUPnet, Healthcare Cost and Utilization Project. Agency for Healthcare Research and Quality, Rockville, MD. https://datatools.ahrq.gov/hcupnet.
Notes:
Costs are in current, nominal dollars (not adjusted for inflation).
Community-Level Statistics are based on the patient residence State, not the hospital State.
For more information about HCUP data see http://hcup-us.ahrq.gov/
Direct link to this dashboard: https://datatools.ahrq.gov/hcupnet?tab=community-inpatient-statistics&dash=55
Community-Level Statistics — Inpatient Stays by Clinical Classification Software Refined (CCSR) Procedures
Community-Level Statistics (CLS) are from the Agency for Healthcare Research and Quality (AHRQ), Healthcare Cost and Utilization Project (HCUP), State Inpatient Databases (SID), based on data collected by individual States and provided to AHRQ by State Partners. Statistics are aggregated to the patient residence (county, substate region, and State). Clinical procedures are restricted to operating-room procedures. Weighted national estimates are from the HCUP National (Nationwide) Inpatient Sample (NIS). For more information, see “Calculating Community-Level Statistics for HCUPnet: Methods” PDF. See also Clinical Classifications Software Refined (CCSR) for ICD-10 CM Procedures.
Querying a single data year will produce smaller cell sizes and generally more cell suppression than querying a three-year period. Similarly, county queries will produce smaller cell sizes and more cell suppressions than region queries, because a region generally comprises multiple counties.
Select the Download Data button for an accessible MS Excel version of the data visualization. The file size will depend on parameters selected.
If display is blank, please modify filter selections
Suggested Citation: HCUPnet, Healthcare Cost and Utilization Project. Agency for Healthcare Research and Quality, Rockville, MD. https://datatools.ahrq.gov/hcupnet.
Notes:
Costs are in current, nominal dollars (not adjusted for inflation).
Community-Level Statistics are based on the patient residence State, not the hospital State.
For more information about HCUP data see http://hcup-us.ahrq.gov/
Direct link to this dashboard: https://datatools.ahrq.gov/hcupnet?tab=community-inpatient-statistics&dash=56
Community-Level Statistics — Inpatient Stays by Clinical Classification Software (CCS) Procedures
Community-Level Statistics (CLS) are from the Agency for Healthcare Research and Quality (AHRQ), Healthcare Cost and Utilization Project (HCUP), State Inpatient Databases (SID), based on data collected by individual States and provided to AHRQ by State Partners. Statistics are aggregated to the patient residence (county, substate region, and State). Clinical procedures are restricted to operating-room procedures. Weighted national estimates are from the HCUP National (Nationwide) Inpatient Sample (NIS). For more information, see “Calculating Community-Level Statistics for HCUPnet: Methods” PDF. See also Clinical Classifications Software (CCS) for ICD-9 CM.
Querying a single data year will produce smaller cell sizes and generally more cell suppression than querying a three-year period. Similarly, county queries will produce smaller cell sizes and more cell suppressions than region queries, because a region generally comprises multiple counties.
Select the Download Data button for an accessible MS Excel version of the data visualization. The file size will depend on parameters selected.
If display is blank, please modify filter selections
Suggested Citation: HCUPnet, Healthcare Cost and Utilization Project. Agency for Healthcare Research and Quality, Rockville, MD. https://datatools.ahrq.gov/hcupnet.
Notes:
Costs are in current, nominal dollars (not adjusted for inflation).
Community-Level Statistics are based on the patient residence State, not the hospital State.
For more information about HCUP data see http://hcup-us.ahrq.gov/
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Contact
If you have comments, suggestions, and/or questions, please contact hcup@ahrq.gov