diff --git a/sql/histograms/cruxShopifyThemes.sql b/sql/histograms/cruxShopifyThemes.sql
deleted file mode 100644
index 7b71403..0000000
--- a/sql/histograms/cruxShopifyThemes.sql
+++ /dev/null
@@ -1,194 +0,0 @@
-#standardSQL
--- Core web vitals by Shopify theme
-CREATE TEMP FUNCTION IS_GOOD(good FLOAT64, needs_improvement FLOAT64, poor FLOAT64) RETURNS BOOL AS (
-  good / (good + needs_improvement + poor) >= 0.75
-);
-
-CREATE TEMP FUNCTION IS_POOR(good FLOAT64, needs_improvement FLOAT64, poor FLOAT64) RETURNS BOOL AS (
-  poor / (good + needs_improvement + poor) > 0.25
-);
-
-CREATE TEMP FUNCTION IS_NON_ZERO(good FLOAT64, needs_improvement FLOAT64, poor FLOAT64) RETURNS BOOL AS (
-  good + needs_improvement + poor > 0
-);
-
--- Test CrUX data exists
-WITH crux_test AS ( -- noqa: ST03
-  SELECT
-    1
-  FROM
-    `chrome-ux-report.all.${YYYYMM}`
-),
-
--- All Shopify shops in HTTPArchive
-archive_pages AS (
-  SELECT
-    client,
-    page AS url,
-    JSON_VALUE(custom_metrics.ecommerce.Shopify.theme.name) AS theme_name,
-    JSON_VALUE(custom_metrics.ecommerce.Shopify.theme.theme_store_id) AS theme_store_id
-  FROM
-    `httparchive.crawl.pages`
-  WHERE
-    date = '${YYYY-MM-DD}' AND
-    is_root_page AND
-    JSON_VALUE(custom_metrics.ecommerce.Shopify.theme.name) IS NOT NULL --first grab all shops for market share
-)
-
-SELECT
-  client,
-  archive_pages.theme_store_id AS id,
-  theme_names.theme_name AS top_theme_name,
-  COUNT(DISTINCT origin) AS origins,
-  -- Origins with good LCP divided by origins with any LCP.
-  SAFE_DIVIDE(
-    COUNT(DISTINCT IF(IS_GOOD(fast_lcp, avg_lcp, slow_lcp), origin, NULL)),
-    COUNT(DISTINCT IF(IS_NON_ZERO(fast_lcp, avg_lcp, slow_lcp), origin, NULL))
-  ) AS pct_good_lcp,
-  -- Origins with needs improvement are anything not good, nor poor.
-  1 -
-  SAFE_DIVIDE(
-    COUNT(DISTINCT IF(IS_GOOD(fast_lcp, avg_lcp, slow_lcp), origin, NULL)),
-    COUNT(DISTINCT IF(IS_NON_ZERO(fast_lcp, avg_lcp, slow_lcp), origin, NULL))
-  )
-  -
-  SAFE_DIVIDE(
-    COUNT(DISTINCT IF(IS_POOR(fast_lcp, avg_lcp, slow_lcp), origin, NULL)),
-    COUNT(DISTINCT IF(IS_NON_ZERO(fast_lcp, avg_lcp, slow_lcp), origin, NULL)))
-    AS pct_ni_lcp,
-  -- Origins with poor LCP divided by origins with any LCP.
-  SAFE_DIVIDE(
-    COUNT(DISTINCT IF(IS_POOR(fast_lcp, avg_lcp, slow_lcp), origin, NULL)),
-    COUNT(DISTINCT IF(IS_NON_ZERO(fast_lcp, avg_lcp, slow_lcp), origin, NULL))
-  ) AS pct_poor_lcp,
-
-  -- Origins with good TTFB divided by origins with any TTFB.
-  SAFE_DIVIDE(
-    COUNT(DISTINCT IF(IS_GOOD(fast_ttfb, avg_ttfb, slow_ttfb), origin, NULL)),
-    COUNT(DISTINCT IF(IS_NON_ZERO(fast_ttfb, avg_ttfb, slow_ttfb), origin, NULL))
-  ) AS pct_good_ttfb,
-  -- Origins with needs improvement are anything not good, nor poor.
-  1 -
-  SAFE_DIVIDE(
-    COUNT(DISTINCT IF(IS_GOOD(fast_ttfb, avg_ttfb, slow_ttfb), origin, NULL)),
-    COUNT(DISTINCT IF(IS_NON_ZERO(fast_ttfb, avg_ttfb, slow_ttfb), origin, NULL))
-  )
-  -
-  SAFE_DIVIDE(
-    COUNT(DISTINCT IF(IS_POOR(fast_ttfb, avg_ttfb, slow_ttfb), origin, NULL)),
-    COUNT(DISTINCT IF(IS_NON_ZERO(fast_ttfb, avg_ttfb, slow_ttfb), origin, NULL)))
-    AS pct_ni_ttfb,
-  -- Origins with poor TTFB divided by origins with any TTFB.
-  SAFE_DIVIDE(
-    COUNT(DISTINCT IF(IS_POOR(fast_ttfb, avg_ttfb, slow_ttfb), origin, NULL)),
-    COUNT(DISTINCT IF(IS_NON_ZERO(fast_ttfb, avg_ttfb, slow_ttfb), origin, NULL))
-  ) AS pct_poor_ttfb,
-
-  -- Origins with good FCP divided by origins with any FCP.
-  SAFE_DIVIDE(
-    COUNT(DISTINCT IF(IS_GOOD(fast_fcp, avg_fcp, slow_fcp), origin, NULL)),
-    COUNT(DISTINCT IF(IS_NON_ZERO(fast_fcp, avg_fcp, slow_fcp), origin, NULL))
-  ) AS pct_good_fcp,
-  -- Origins with needs improvement are anything not good, nor poor.
-  1 -
-  SAFE_DIVIDE(
-    COUNT(DISTINCT IF(IS_GOOD(fast_fcp, avg_fcp, slow_fcp), origin, NULL)),
-    COUNT(DISTINCT IF(IS_NON_ZERO(fast_fcp, avg_fcp, slow_fcp), origin, NULL))
-  )
-  -
-  SAFE_DIVIDE(
-    COUNT(DISTINCT IF(IS_POOR(fast_fcp, avg_fcp, slow_fcp), origin, NULL)),
-    COUNT(DISTINCT IF(IS_NON_ZERO(fast_fcp, avg_fcp, slow_fcp), origin, NULL)))
-    AS pct_ni_fcp,
-  -- Origins with poor FCP divided by origins with any FCP.
-  SAFE_DIVIDE(
-    COUNT(DISTINCT IF(IS_POOR(fast_fcp, avg_fcp, slow_fcp), origin, NULL)),
-    COUNT(DISTINCT IF(IS_NON_ZERO(fast_fcp, avg_fcp, slow_fcp), origin, NULL))
-  ) AS pct_poor_fcp,
-
-  -- Origins with good INP divided by origins with any INP.
-  SAFE_DIVIDE(
-    COUNT(DISTINCT IF(IS_GOOD(fast_inp, avg_inp, slow_inp), origin, NULL)),
-    COUNT(DISTINCT IF(IS_NON_ZERO(fast_inp, avg_inp, slow_inp), origin, NULL))
-  ) AS pct_good_inp,
-  -- Origins with needs improvement are anything not good, nor poor.
-  1 -
-  SAFE_DIVIDE(
-    COUNT(DISTINCT IF(IS_GOOD(fast_inp, avg_inp, slow_inp), origin, NULL)),
-    COUNT(DISTINCT IF(IS_NON_ZERO(fast_inp, avg_inp, slow_inp), origin, NULL))
-  )
-  -
-  SAFE_DIVIDE(
-    COUNT(DISTINCT IF(IS_POOR(fast_inp, avg_inp, slow_inp), origin, NULL)),
-    COUNT(DISTINCT IF(IS_NON_ZERO(fast_inp, avg_inp, slow_inp), origin, NULL)))
-    AS pct_ni_inp,
-  -- Origins with poor INP divided by origins with any INP.
-  SAFE_DIVIDE(
-    COUNT(DISTINCT IF(IS_POOR(fast_inp, avg_inp, slow_inp), origin, NULL)),
-    COUNT(DISTINCT IF(IS_NON_ZERO(fast_inp, avg_inp, slow_inp), origin, NULL))
-  ) AS pct_poor_inp,
-
-  -- Origins with good CLS divided by origins with any CLS.
-  SAFE_DIVIDE(
-    COUNT(DISTINCT IF(IS_GOOD(small_cls, medium_cls, large_cls), origin, NULL)),
-    COUNT(DISTINCT IF(IS_NON_ZERO(small_cls, medium_cls, large_cls), origin, NULL))
-  ) AS pct_good_cls,
-  -- Origins with needs improvement are anything not good, nor poor.
-  1 -
-  SAFE_DIVIDE(
-    COUNT(DISTINCT IF(IS_GOOD(small_cls, medium_cls, large_cls), origin, NULL)),
-    COUNT(DISTINCT IF(IS_NON_ZERO(small_cls, medium_cls, large_cls), origin, NULL))
-  )
-  -
-  SAFE_DIVIDE(
-    COUNT(DISTINCT IF(IS_POOR(small_cls, medium_cls, large_cls), origin, NULL)),
-    COUNT(DISTINCT IF(IS_NON_ZERO(small_cls, medium_cls, large_cls), origin, NULL)))
-    AS pct_ni_cls,
-  -- Origins with poor CLS divided by origins with any CLS.
-  SAFE_DIVIDE(
-    COUNT(DISTINCT IF(IS_POOR(small_cls, medium_cls, large_cls), origin, NULL)),
-    COUNT(DISTINCT IF(IS_NON_ZERO(small_cls, medium_cls, large_cls), origin, NULL))
-  ) AS pct_poor_cls,
-
-  -- Origins with good LCP, INP (optional), and CLS divided by origins with any LCP and CLS.
-  SAFE_DIVIDE(
-    COUNT(DISTINCT IF(
-      IS_GOOD(fast_lcp, avg_lcp, slow_lcp) AND
-      IS_GOOD(fast_inp, avg_inp, slow_inp) IS NOT FALSE AND
-      IS_GOOD(small_cls, medium_cls, large_cls), origin, NULL
-    )),
-    COUNT(DISTINCT IF(
-      IS_NON_ZERO(fast_lcp, avg_lcp, slow_lcp) AND
-      IS_NON_ZERO(small_cls, medium_cls, large_cls), origin, NULL
-    ))
-  ) AS pct_good_cwv
-FROM
-  `chrome-ux-report.materialized.device_summary`
-JOIN archive_pages
-ON
-  CONCAT(origin, '/') = url AND
-  IF(device = 'desktop', 'desktop', 'mobile') = client
-JOIN (
-  -- Add in top theme name for a theme store id AS this should usually be the real theme name
-  SELECT
-    COUNT(DISTINCT url) AS pages_count,
-    theme_store_id,
-    theme_name,
-    row_number() OVER (PARTITION BY theme_store_id ORDER BY COUNT(DISTINCT url) DESC) AS rank
-  FROM archive_pages
-  GROUP BY
-    theme_store_id,
-    theme_name
-  ORDER BY COUNT(DISTINCT url) DESC
-) theme_names
--- Include null theme store ids so that we can get full market share within CrUX
-ON IFNULL(theme_names.theme_store_id, 'N/A') = IFNULL(archive_pages.theme_store_id, 'N/A')
-WHERE
-  date = '${YYYY-MM-DD}' AND
-  theme_names.rank = 1
-GROUP BY
-  client,
-  id,
-  top_theme_name
-ORDER BY
-  origins DESC
diff --git a/sql/histograms/htmlElementPopularity.sql b/sql/histograms/htmlElementPopularity.sql
deleted file mode 100644
index 4e6618c..0000000
--- a/sql/histograms/htmlElementPopularity.sql
+++ /dev/null
@@ -1,48 +0,0 @@
-#standardSQL
-CREATE TEMPORARY FUNCTION getElements(payload STRING)
-RETURNS ARRAY<STRING> LANGUAGE js AS '''
-try {
-  var elements = JSON.parse(payload);
-  if (Array.isArray(elements) || typeof elements != 'object') return [];
-  return Object.keys(elements);
-} catch (e) {
-  return [];
-}
-''';
-
-SELECT
-  client,
-  element,
-  COUNT(DISTINCT root_page) AS pages,
-  total,
-  COUNT(DISTINCT root_page) / total AS pct,
-  ARRAY_TO_STRING(ARRAY_AGG(DISTINCT page LIMIT 5), ' ') AS sample_urls
-FROM
-  `httparchive.crawl.pages`
-JOIN
-  (
-    SELECT
-      date,
-      client,
-      COUNT(DISTINCT root_page) AS total
-    FROM
-      `httparchive.crawl.pages`
-    WHERE
-      date = '${YYYY-MM-DD}'
-    GROUP BY
-      date,
-      client
-  )
-USING (date, client),
-  UNNEST(getElements(TO_JSON_STRING(custom_metrics.element_count))) AS element
-WHERE
-  date = '${YYYY-MM-DD}'
-GROUP BY
-  client,
-  total,
-  element
-HAVING
-  COUNT(DISTINCT root_page) >= 10
-ORDER BY
-  pages / total DESC,
-  client