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finished with BCC tender

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Khalim Conn-Kowlessar 2024-09-03 17:04:27 +01:00
parent 9e088ffe51
commit 6b5246fa21
1 changed files with 38 additions and 11 deletions
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49
etl/customers/bcc_tender/app.py
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@ -115,30 +115,33 @@ n_gbis_prs_ge_needs_scaling_on_council_tax_band = epc_data[
epc_data["eligibility_type"] == "gbis_prs_ge_needs_scaling_on_council_tax_band"
].shape[0]
n_eligibility_1 = np.floor(n_eco4_oo_hthg_needs_scaling_on_benefits * PROPORTION_OF_HOMEOWNERS_CLAIMING_FOR_BENEFITS)
# We're going to make the broad assumption that all homeowners claiming for benefits, live in homes in council tax
# bands A-D. There there are no additionals in eligibility 4 and 5
n_eligibility_2 = np.floor(n_eco4_prs_hthg_needs_scaling_on_benefits * PROPORTION_OF_HOMES_ON_BENEFITS)
# n_eligibility_1 = np.floor(n_eco4_oo_hthg_needs_scaling_on_benefits * PROPORTION_OF_HOMEOWNERS_CLAIMING_FOR_BENEFITS)
n_eligibility_1 = np.floor(n_eco4_oo_hthg_needs_scaling_on_benefits * COUNCIL_TAX_BAND_A_TO_D_PROPORTION)
# n_eligibility_2 = np.floor(n_eco4_prs_hthg_needs_scaling_on_benefits * PROPORTION_OF_HOMES_ON_BENEFITS)
n_eligibility_2 = np.floor(n_eco4_prs_hthg_needs_scaling_on_benefits * COUNCIL_TAX_BAND_A_TO_D_PROPORTION)
n_eligiblity_3 = n_eco4_social
# We subtract the number of homes in eligiblity 1, from the number of homes under ECO4 OO, HTHG, before scaling on
# benefits. This gives us the number of homes that were not on benefits. We then scale this number based on the % of
# homes in council tax bands A-D
n_eligiblity_4 = np.floor(
(n_eco4_oo_hthg_needs_scaling_on_benefits - n_eligibility_1) * COUNCIL_TAX_BAND_A_TO_D_PROPORTION
)
# n_eligiblity_4 = np.floor(
# (n_eco4_oo_hthg_needs_scaling_on_benefits - n_eligibility_1) * COUNCIL_TAX_BAND_A_TO_D_PROPORTION
# )
# We also need to add on homes that fall out of eligibility 2
n_eligibiltiy_5 = np.floor(
np.floor(n_gbis_prs_ge_needs_scaling_on_council_tax_band * COUNCIL_TAX_BAND_A_TO_D_PROPORTION) +
np.floor((n_eco4_prs_hthg_needs_scaling_on_benefits - n_eligibility_2) * COUNCIL_TAX_BAND_A_TO_D_PROPORTION)
np.floor(n_gbis_prs_ge_needs_scaling_on_council_tax_band * COUNCIL_TAX_BAND_A_TO_D_PROPORTION)
# np.floor((n_eco4_prs_hthg_needs_scaling_on_benefits - n_eligibility_2) * COUNCIL_TAX_BAND_A_TO_D_PROPORTION)
)
total_eligible = n_eligibility_1 + n_eligibility_2 + n_eligiblity_3 + n_eligiblity_4 + n_eligibiltiy_5
# We don't scale up the # of homes based on % of homes with an EPC, because
n_owner_occupied = epc_data[epc_data["TENURE"].isin(owner_occupied_tenures)].shape[0]
oo_eligibility = (n_eligibility_1 + n_eligiblity_4)
oo_eligibility = n_eligibility_1
# 68% of owner occupied are eligibiltiy
proportion_of_oo_eligible = oo_eligibility / n_owner_occupied
@ -156,4 +159,28 @@ social_eligibility = n_eligiblity_3
total_eligible = oo_eligibility + prs_eligibility + social_eligibility
proportion_of_homes_eligibile = total_eligible / N_HOUSEHOLDS_IN_BIRMINGHAM
# Approx 58% of homes in Birmingham are eligible for ECO/GBIS funding
# Approx 53% of homes in Birmingham are eligible for ECO/GBIS funding
# Approximately 53% of Homes are eligible for some form of ECO4 or GBIS funding, 227k homes
# This is broken down as follows:
# - 155k owner occupiers
# - 33k private rentals
# - 39k social housing
# We can't seem to identify the properties owned by the council in the company ownership data, because what is the
# entity that owns the property? Is it the council, or is it a company that is owned by the council? We can't be sure
# and so since BCC owns 54,000 social housing properties (5k) supported housing
# [https://www.birmingham.gov.uk/info/50094/housing_options/2686/apply_for_social_housing#:~:text=We%20manage
# %20around%2054%2C000%20social,a%20member%20of%20your%20household.]
# and there are 78,410 social housing properties in Birmingham, we can assume that the council owns 54,000 of these
# and so 69% of the social housing is owned by the Council
# Since we saw that 38,779 of 78,410 social housing looked to be able to benefit from ECO/GBIS funding, we can assume
# that 69% of these are owned by the council, which is 26,757 properties
# So, with these assumptions in mind:
# We can commit to [x] per annum based on your 54k council-owned, of which approximately 27k are likely to be eligible
# for some form of ECO/GBIS funding. We will work directly with Housing associations to address the remaining 12k
# social properties that may be eligible for funding through ECO/GBIS.
# We will market directly to the 33k private rentals and 155k owner occupiers that are eligible for funding,
# and assuming a 5% conversion, will aim to complete work on