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pretty_name: CDC FluSurv-NET — weekly flu hospitalisation rates
license: other
size_categories:
- 10K<n<100K
tags:
- cadence-weekly
- geo-us
- surveillance-respiratory
- pathogen-influenza
- tier-2
- availability-open
schema_version: '0.1'
source_id: delphi-flusurv
source_url: https://www.cdc.gov/resp-net/dashboard/index.html
manifest_section: §1.3
surveillance_category: respiratory
pathogens:
- influenza
availability: open
availability_notes: null
access_type: delphi
tier: 2
cadence: weekly
geography_levels:
- subnational-region
geography_countries:
- US
gold_standard_for: []
vintaged_version_of: null
succeeds: null
derived_from: []
value_columns:
- name: rate_overall
unit: per 100k population
value_type: rate
description: Weekly flu-confirmed hospitalisation rate, all ages, this catchment
aggregation: rate
- name: rate_age_0
unit: per 100k population
value_type: rate
description: Hospitalisation rate, age 0-4
aggregation: rate
- name: rate_age_1
unit: per 100k population
value_type: rate
description: Hospitalisation rate, age 5-17
aggregation: rate
- name: rate_age_2
unit: per 100k population
value_type: rate
description: Hospitalisation rate, age 18-49
aggregation: rate
- name: rate_age_3
unit: per 100k population
value_type: rate
description: Hospitalisation rate, age 50-64
aggregation: rate
- name: rate_age_4
unit: per 100k population
value_type: rate
description: Hospitalisation rate, age 65+
aggregation: rate
notes:
extra_columns:
- column: location_name
description: Source-native catchment code (e.g. `CA`, `NY_albany`, `network_all`). `location_id` prefixes with `US-FLUSURV-`.
interpretation_caveats:
- column: rate_overall
caveat: 'FluSurv-NET catchments are *not* whole-state populations. CA covers selected counties
in the SF Bay Area; NY has separate Albany and Rochester catchments. Don''t compare
catchment rates to state-level flu rates from other sources without re-weighting.
'
general: '14 RESP-NET catchments (some states host two — NY: Albany + Rochester) plus a `network_all`
aggregate. Seasonal — typically populated October through May. Pre-2018 the network was
smaller (FluSurv-NET predecessors operated different sites).
'
computed:
last_ingested: '2026-04-26T12:48:46Z'
row_count: 9342
time_coverage:
- start: '2003-10-04'
end: '2004-05-01'
- start: '2004-10-09'
end: '2005-04-30'
- start: '2005-10-08'
end: '2006-04-29'
- start: '2006-10-07'
end: '2007-04-28'
- start: '2007-10-06'
end: '2008-04-26'
- start: '2008-10-04'
end: '2009-05-02'
- start: '2009-09-05'
end: '2010-05-01'
- start: '2010-10-09'
end: '2011-04-30'
- start: '2011-10-08'
end: '2012-04-28'
- start: '2012-10-06'
end: '2013-04-27'
- start: '2013-10-05'
end: '2014-04-26'
- start: '2014-10-04'
end: '2015-05-02'
- start: '2015-10-10'
end: '2016-04-30'
- start: '2016-10-08'
end: '2017-04-29'
- start: '2017-10-07'
end: '2018-04-28'
- start: '2018-10-06'
end: '2019-04-27'
- start: '2019-10-05'
end: '2020-04-25'
- start: '2020-10-03'
end: '2021-05-01'
- start: '2021-10-09'
end: '2022-06-11'
- start: '2022-10-08'
end: '2023-04-29'
- start: '2023-10-07'
end: '2025-04-26'
- start: '2025-10-04'
end: '2026-01-03'
geography_unit_count: 14
observed_cadence_days: 7
missing_gaps: []
data_hash: 5d74a1430d9cebda
---
# CDC FluSurv-NET — weekly flu hospitalisation rates
14 RESP-NET catchments (some states host two — NY: Albany + Rochester) plus a `network_all`
aggregate. Seasonal — typically populated October through May. Pre-2018 the network was
smaller (FluSurv-NET predecessors operated different sites).
**Source:** <https://www.cdc.gov/resp-net/dashboard/index.html>
## Coverage
- **Time:** 2003-10-04 → 2004-05-01; 2004-10-09 → 2005-04-30; 2005-10-08 → 2006-04-29; 2006-10-07 → 2007-04-28; 2007-10-06 → 2008-04-26; 2008-10-04 → 2009-05-02; 2009-09-05 → 2010-05-01; 2010-10-09 → 2011-04-30; 2011-10-08 → 2012-04-28; 2012-10-06 → 2013-04-27; 2013-10-05 → 2014-04-26; 2014-10-04 → 2015-05-02; 2015-10-10 → 2016-04-30; 2016-10-08 → 2017-04-29; 2017-10-07 → 2018-04-28; 2018-10-06 → 2019-04-27; 2019-10-05 → 2020-04-25; 2020-10-03 → 2021-05-01; 2021-10-09 → 2022-06-11; 2022-10-08 → 2023-04-29; 2023-10-07 → 2025-04-26; 2025-10-04 → 2026-01-03
- **Cadence:** `weekly` (observed median spacing: 7 days)
- **Geography levels:** `subnational-region` — 14 unique location IDs
- **Countries:** US
- **Pathogens:** `influenza`
- **Surveillance category:** `respiratory`
- **Rows:** 9,342
## Columns
| Column | Unit | value_type | Aggregation | Description |
|--------|------|------------|-------------|-------------|
| `rate_overall` | per 100k population | `rate` | `rate` | Weekly flu-confirmed hospitalisation rate, all ages, this catchment |
| `rate_age_0` | per 100k population | `rate` | `rate` | Hospitalisation rate, age 0-4 |
| `rate_age_1` | per 100k population | `rate` | `rate` | Hospitalisation rate, age 5-17 |
| `rate_age_2` | per 100k population | `rate` | `rate` | Hospitalisation rate, age 18-49 |
| `rate_age_3` | per 100k population | `rate` | `rate` | Hospitalisation rate, age 50-64 |
| `rate_age_4` | per 100k population | `rate` | `rate` | Hospitalisation rate, age 65+ |
### Additional data columns
- **`location_name`** — Source-native catchment code (e.g. `CA`, `NY_albany`, `network_all`). `location_id` prefixes with `US-FLUSURV-`.
## Interpretation caveats
Things that may differ from how other sources define a similar measure. If you're combining this dataset with another, read these first.
- **`rate_overall`** — FluSurv-NET catchments are *not* whole-state populations. CA covers selected counties
in the SF Bay Area; NY has separate Albany and Rochester catchments. Don't compare
catchment rates to state-level flu rates from other sources without re-weighting.
## Access
- **Availability:** `open`
- **Access type:** `delphi`
- **License:** other
- **Tier:** 2
---
*Schema version `0.1` · Last ingested 2026-04-26T12:48:46Z · `source_id: delphi-flusurv` · Manifest section §1.3*
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