Household Cost Methodology

A complete derivation of the monthly household cost of incorporation — every input, its source, how much confidence it carries, and what would have to be true for the figure to be wrong. Written for a reader who wants to check the arithmetic rather than take it on trust. Last revised 14 September 2026.

The Figures

These are best estimates. A 200,000-draw simulation over the full range of every uncertain input puts the true cost to a median home at a median of $59.17, and the published $59.63 at the 54th percentile of that distribution — as likely to land high as low.

The range is $53 to $67 a month. Everything that produces that width is set out below, input by input.

How to Read the Confidence Statements

There is no honest way to put a single ± figure on this number, and any document that offers one should be treated with suspicion. The uncertainty here is not sampling error around a measurement. It is a chain of five steps, some of which rest on published data and some on judgment, and those two kinds of doubt do not combine into one percentage.

So this document expresses confidence three ways, and a reader should use all three:

1. An evidence tier for every input — 1 through 4, describing what kind of support the number has, not how precise it is. A tier-1 input can still be the wrong input to use; a tier-4 input can happen to be right. The tier says how much argument is available when someone challenges it.
2. A modelled range for the output — from drawing every uncertain input across a stated range. This is not a statistical confidence interval, and calling it one would be a misrepresentation. It answers “how wrong could this be, given how wrong each input could plausibly be,” where the plausible ranges are our judgment except where noted.
3. A break-even table — for each input, how far it would have to move, on its own, to change the answer. This is the most useful of the three in an argument, because it converts every objection into a specific claim someone has to defend with a number.

The Chain

The derivation has five junctions. Two questions run through this material and confusing them produces most objections we receive: burden (what one household pays) and incidence (where the town's revenue comes from). They do not divide into one another. This document is about burden; incidence is treated at the end.

One structural point matters and is easy to get wrong. The business-intensity factor that scales the town's revenue does not enter the household cost at all. Household cost depends on the household share of the base, and on nothing about how many businesses Niwot has. An earlier version of this model multiplied the two together — effectively asserting that Niwot households buy less telephone service because Niwot has fewer offices — and that error understated household cost by about $4 a month until it was found on 12 September 2026.

Junction 1 — The Anchor

Colorado sources a municipal sales tax to the delivery address, so a town taxes everything delivered into it, not only what is bought at a shop inside it. No Colorado town publishes what its households buy that way. Louisville publishes the closest thing: its “Outside City” taxable base, broken out by industry, in the monthly Finance Committee packet.

The eleven-month problem, and why it does not matter

Grossing eleven observed months up by 12/11 assumes the missing month is an average one. It is not. Colorado publishes monthly taxable sales by city, so this can be measured rather than argued. Across ten complete years, Louisville's seasonal index runs:

December runs 16% above an average month. But which month is missing depends on a convention we have not confirmed — a city report labelled “Jan–Nov” may run on sales months or on collection months, and Colorado remits one month in arrears. Both cases were computed. If the months are sales months, ×12/11 understates the base by 1.45%; if they are collection months, it overstates by 0.35%. The error is bounded between those, which is under fifty cents a month on the household figure. The convention question therefore never needs answering, which is a better outcome than answering it.

Junction 2 — The Transfer

Louisville is a larger, differently-composed town. Carrying its figures to Niwot requires an income adjustment, and this is where most of the remaining uncertainty lives.

We work entirely in household terms on both sides. This matters: an earlier version scaled Louisville's per-capita sales by a per-capita income ratio and then multiplied by Niwot's persons-per-household — mixing a Census quantity measured on the Niwot census place with one built from the committee demographer's boundary population divided by a parcel count. Those come from different universes, and the two routes disagreed by 4 to 11%. The household route never uses per-capita figures at all.

Three income measures that disagree, and why we chose this one

A reader checking our work against Census tables will find three different answers to “how much richer is Niwot than Louisville,” and the choice is consequential:

On median household income the two towns are identical. The gap between the measures is entirely the shape of the income distribution: Niwot's is more top-heavy (mean 1.34 times median) than Louisville's (1.24).

We use mean household income, because the quantity being scaled is an aggregate taxable base, and an aggregate scales with the mean, not the median. Using per capita income instead would raise the answer by roughly $2 a month; using median household income would lower it by roughly $1.60. That spread — about $58 to $62 — is the honest width of this single choice.

Two things the income figures do not tell us

• Footprint. The Census measures the Niwot census designated place, which holds 3,447 people. The proposed boundary holds 4,305, per the committee's demographer, which supersedes the Census figure here. So 858 residents, a fifth of the town, are inside the boundary but outside the area the income figure describes. If their income differs from the rest by 25%, the answer moves about $1.10; if by 40%, about $1.80. A real bias, but a bounded and small one.
• Margin. Niwot is a small place and the Census sample there is thin. Mean household income is built from two estimates, each with its own margin: aggregate household income is ±$61,172,000 on $296,034,900 (20.7%), and the household count is ±209 on 1,505 (13.9%). Together they imply roughly a 15% coefficient of variation on the income ratio — and that single quantity is the largest contributor to the uncertainty in the published figure by a wide margin. No amount of care elsewhere in the model compensates for it. Per capita income, which we do not use, is measured more precisely (±$14,859, or 17.5% of a smaller number); it was rejected for the structural reason above, not the statistical one.

The elasticity understates, and we left it that way

The 0.65 exponent has no citation. It can, however, be tested, though only weakly. Two towns are observed — Louisville and Lyons — with both their incomes and their remote taxable bases known. The elasticity that makes those two reconcile exactly is 1.42. This is a line through two points, and one of them sits on a different reporting basis (see Comparability Cautions below), so it bounds a direction rather than estimating a value. At that value the published figure would rise by about $1.20 a month. We publish the lower number. Nothing in the observed data suggests 0.65 is generous; it is the cautious end.

Junction 3 — The Household Share

The delivered-goods base is not all household shopping. It includes business purchasing, contractor materials, leased equipment and wholesale. To get a household bill we need the household share of each industry — and Louisville reports by industry, not by customer type, so nobody has published this number. It is the largest judgment in the model.

How the largest share is bounded

General Merchandise is 29.7% of the category and carries more weight than any other single assumption. Two constraints bracket it, and they are not equally strong:

• The ceiling, which is firm. A household cannot buy more taxable delivered goods than it spends in total. Working from an $89,972 total expenditure basket for this income band, most of it untaxed in Colorado, we put the ceiling on taxable delivered goods near $16,500 a year, which binds the share at 50.4%. This ceiling is reasoned, not measured — it is our judgment about how much of that basket could be taxable delivered goods, not a published statistic. It is the firmest constraint available and it is also the place a reader who wants to push on this analysis should push first.
• The floor, which is not. US household e-commerce of roughly $8,300 a year must fit inside household retail purchasing. This binds at 27.8%.

The share is not merely unpublished. We asked the City of Louisville directly whether its records distinguish deliveries to residential from commercial addresses, and they do not: a sales tax return identifies the jurisdiction a sale was sourced to, not the character of the buyer, and only an audit of an individual vendor's books reveals who bought what. Bounding is therefore not a stand-in for a measurement we expect to obtain later. It is the only method available — to us, or to anyone.

An earlier reading of this bound concluded the share must be at least 70%, which would put the cost near $75 a month. That reading tested household e-commerce against the General Merchandise line alone, and it was a category error: e-commerce is a sales channel, not an industry. Against the industries household e-commerce actually lands in, the bound clears comfortably.

We asked the City how it classifies, expecting one of two answers — that all electronic retail books to General Merchandise, or that it is distributed by vendor sector. The answer is neither. Businesses that register with the City directly are classified from what they themselves report. Payments arriving through the state's Sales and Use Tax System, the portal remote sellers use to file into self-collecting cities and therefore the portal much of this category files through, default to General Merchandise.

That makes General Merchandise partly a residual rather than an industry, and it cuts both ways. The default does place remote consumer retail in that line, which is what the 70% reading assumed. By the same mechanism it places remote business supply there too: an out-of-state industrial supplier filing through the portal is indistinguishable from an online retailer in that column. The two effects offset, and the line's household content tends toward the mix of remote sellers generally rather than toward a distinctively consumer figure.

We publish 48% — just under the ceiling. Roughly half of this base is business purchasing, so 48% puts General Merchandise a shade more household than the category it sits in, which is the direction that overstates what a household pays. The bottom of the permitted span would require believing that fewer than three dollars in ten of outside-city General Merchandise is bought by a household, and that is a strong claim with nothing behind it but arithmetic permission.

Groceries are in Louisville's base and should not be in ours

Colorado exempts food for domestic home consumption, and in state-collected jurisdictions that exemption flows through automatically. A newly incorporated statutory town is state-collected, and Niwot's measure exempts groceries by its own terms rather than by later discretion. Louisville, as a home-rule self-collecting city, is not bound by the state exemption and taxes groceries.

Building Niwot's household spending from Louisville's industry table therefore imports a line Niwot would not levy. We remove 72.5% of it — not all, because part of a grocery vendor's sales stays taxable even in Niwot (candy, soft drinks, prepared food). This is worth about $1.20 a month, and until 14 September 2026 the published figure included it in full.

Junction 4 — Spending in Niwot

What the 28% actually claims

A percentage is impossible to check. Restated, 28% means $4,065 a year, or $339 a month, per household, spent at Niwot businesses. Only 33 of Niwot's 92 open businesses generate taxable retail sales — 17 retail and gift shops and 16 restaurants and cafes — because Colorado does not tax most services. There is no grocery anchor and no large-format store to absorb that spending.

Federal expenditure survey data puts food away from home at $7,652 a year for the highest income quintile, which is the right band for Niwot. So the 28% requires:

So the real assumption inside the 28% is that a Niwot household spends two of every five restaurant dollars in Niwot. That is checkable by any resident against their own habits, which is the point of restating it. The risk is one-sided: if the true capture is lower, residents are a smaller share of the base, which lowers household cost.

Why the rate here is 1.5% and not 2.5%

Downtown, the municipal tax replaces the existing 1% district tax, so the net increase is 1.5 percentage points rather than 2.5. Earlier versions charged the full 2.5% on all local spending and described that as conservative on the grounds that no household knows what share of its local spending falls inside the district. That reasoning is true of households but not of this number: the local line is derived as a share of the district's own base, so it is in-district by construction.

The honest accounting has two halves, and publishing one without the other would mislead. Charging 2.5% overstated. But the district-derived line also omits household spending at Niwot businesses outside the district entirely, which understates. Those partly offset; break-even is at $1,626 a year of off-district spending. Most Niwot taxable retail is inside the district, so we estimate $400 and include it explicitly.

Junction 5 — From an Average Household to a Median Home

Everything above produces the spending of an average Niwot household. The published figure is for a median-value home. These are not the same, and the property side and the spending side must be indexed consistently.

The spending side is indexed once, to the median-value home, by the constant above. Everything downstream of it — every percentile, every housing type, every neighbourhood — then carries the same taxable spending. The published range widens across dwellings because the property levy varies and because the household share of the base is uncertain, not because spending varies with home value.

That is certainly wrong in direction, and we would rather size it than bury it. A household in a $3.3 million house does not buy the same quantity of taxable goods as one in a $370,000 condominium. We have not measured how much more, so rather than apply an uncited elasticity to every dwelling we hold spending flat and state which way that errs: it overstates the least valuable homes and understates the most valuable ones. At the median it makes no difference at all, by construction, so the headline figure is unaffected either way.

The size of it is worth putting on the page. Our own simulation treats the elasticity of spending to home value as unknown, drawing it between 0 and 0.80 with a central value of 0.30; the published figures use 0. At 0.30 the tenth percentile would fall from $44 to about $34 a month and the ninetieth would rise from $92 to about $102. Closing this properly needs the elasticity of taxable spending — not spending in general — to income, which the Consumer Expenditure Survey reports by income decile and which would replace a judgment with a fitted value. It is listed under Open Questions for that reason.

One trap deserves naming, because it is easy to fall into and it would move the figure by several dollars. Niwot's income distribution is considerably more skewed (mean 1.34 times median) than its home value distribution (1.17). It is tempting to conclude that the mean-to-median correction should therefore be much larger. It should not. The published figure is indexed on the median-value home, not the median-income household. The income-skew correction applies to the latter. Applying it here would double-count.

The Full Derivation

The vehicle and remodel lines are real costs but they are not monthly bills, so they are disclosed separately rather than blended into the headline. A car purchase every seven years is not the same kind of number as a utility bill, and averaging it into one makes the figure less clear, not more honest.

Distribution Across Dwellings

Bookends worth disclosing rather than hiding: condominiums and townhomes run $42 to $45 a month, and homes above $2.5 million run over $90.

Every range on this page varies one thing: home value. Spending is held at the central estimate throughout. That is worth stating because it was not true until 14 September 2026. Ranges built over home value had been taking their floor from a lower spending estimate and their ceiling from the central one — switching assumptions at one end and not the other. The effect was that the published floor sat about $3 below what this model gives for the same dwelling, and the width of the range was part household variation and part our own uncertainty, with no way for a reader to tell which was which.

These are different things and they should not share an interval. How much your neighbour pays differs from you because their house is worth more: that is a fact about Niwot. How confident we are in the spending estimate is a fact about us. Blending them produces a range that looks like it describes households while half its width describes our doubt. The spending estimate spans about $3.50 a month from its low case to the published one; it applies to every household equally, and it is disclosed here rather than folded into the ranges above.

Every figure in this table is before the Senior and Disabled Veteran Homestead Exemption (CRS 39-3-203), which exempts 50% of the first $200,000 of actual value. A qualifying household in the median home pays about $27 a year less than the figure above — roughly $2 a month. The published figure does not take it, because most households cannot claim it; the tax calculator does, for those who can. Disclosed here because the omission runs against the household, and because the same exemption is worth far more under a property-tax-only improvement district — about $100 a year at 15 mills and $214 at 32 — which is a real difference between the two options for a senior.

How Uncertain This Is, and Where the Uncertainty Lives

Drawing every uncertain input 200,000 times across its stated range gives:

The published $59.63 sits at the 54th percentile, which is what a central estimate should look like. Standard deviation is $4.59.

The variance decomposes as follows. This is the single most useful table in this document for anyone deciding where to spend effort:

More than three-quarters of the uncertainty is a single thing, and it is not any of the judgments this document spends most of its length defending. It is the Census margin of error on Niwot's own household income. Niwot is a small place, the ACS sample there is thin, and the resulting margins are wide. If that one input were known exactly, the standard deviation would fall from $4.59 to $1.75 and every other question in this document would become a rounding detail.

This is worth stating plainly because it cuts against the natural instinct. The arguments a critic is most likely to raise — the household share, the 28%, the treatment of groceries — are between them under 8% of the uncertainty.

A caveat on that table

The Census margins are published figures. Every other range in the simulation is our judgment about how wrong an input could plausibly be. The decomposition should be read as a guide to where effort is worth spending, not as an interval anyone else would reproduce from the same data.

What Would Have to Be True for This to Be Wrong

For each input, how far it would have to move on its own — everything else held at its best estimate — to reach a given figure:

No single input moves the answer to $65 without taking a value that is either arithmetically impossible or outside its own published margin, with one exception: the income elasticity. That is the honest summary of the model's exposure, and the direction of that exposure runs against the published figure, not for it.

Who Funds the Town

The same model read from the other side answers where the town's money comes from. Four categories, because three do not close: about 11% of revenue is state gas-tax sharing, county road money and lottery-funded Conservation Trust proceeds that nobody in Niwot pays.

The property component is observed rather than modelled: 1,742 residential parcels against 65 commercial, from assessor data, producing 94% of the pro forma's own property tax line. Commercial property is assessed at 25% of market value against a home's 6.8%, which is why 65 parcels carry 27% of the levy. Both counts moved in September 2026, when the classification was audited. A defect in the rule order had booked 18 houses on Monarch Park Court and Monarch Road as commercial, because they share the Monarch Park PUD subdivision name with the business park and the subdivision test was running ahead of the county's own residential account type rather than behind it. A second pass then found three addresses whose rows were duplicates of one parcel, and two addresses that carry several different parcels which the street-address join had collapsed onto one owner — among them 33 acres of Boulder County open space under a conservation easement, which had been sitting inside the residential levy. The earlier figures were 1,729 residential, 84 commercial and 30% of the levy.

The business row is not a downtown row. Reading "Niwot businesses" as the shops on Second Avenue inverts where the money is. The $206.7 million of commercial market value inside the proposed boundary divides like this:

Boulder Tech Center alone is worth more than every other commercial property in Niwot put together, and with Monarch Park the two business parks are 72% of the base the commercial levy falls on — against 18% for Second Avenue. Because commercial property is assessed at a flat 25%, those value shares are also the levy shares. The purchasing side leans the same way: within the business bucket of the sales base, the equipment component is anchored to $13.1 million of business personal property in the Tech Center rather than to retail fixtures downtown, while the supplies and telecom components are spread across all 190 businesses. Every parcel in both parks tests inside the proposed boundary.

Two naming traps are worth stating plainly, because each has already produced an error in this table. "Monarch Park" names two different things: the business park on Monarch Park Place and Horizon Lane, and a subdivision of houses on Monarch Park Court and Monarch Road that carries the same recorded PUD name. Only the first is commercial, and reading the recorded name alone put 18 houses in the commercial column. And there is no Peppertree Business Park. A single parcel at 6870 Peppertree was carried here as one until 14 September 2026; it is Outlot B of Peppertree Estates, 2.25 acres owned by Boulder County Parks & Open Space. The assessor lists the address as "6870 PEPPERTREE **", and the trailing marker broke the join that would have shown the county as owner, so the blank was filled in by hand with a guess.

The resident share is not a point estimate. Across the open range of the household share it runs from 46% to 53%, and it should be quoted as a range. A superseded figure of 45%, built on the retention error described above, should not be cited.

The visitor band, and what supports it

The visitor figure rests on the least evidence of the four. It depends on the same 28% discussed above, which is built from estimated household spending and has never been observed at the register. Here is what does support it.

What supports it is the district's own history. Between 2019 and 2022 downtown taxable sales rose $6.0 million in real terms, a 23% increase, then gave all of it back by 2025, ending slightly below where they started. For residents to have produced that surge, every one of 1,736 households would have had to add roughly $290 a month of local spending on top of the $339 the 28% already credits them with, and sustain it for two years while restaurants were capacity-restricted. The reversion matters as much as the surge: a permanent shift of resident spending toward local businesses leaves a residue, whereas a transient flow of day-trip visitors receding as travel normalised looks exactly like this.

What it establishes is that the visitor channel is large and real. It does not pin the number at 28%.

Reconciling Burden and Incidence

A reader who takes the town's revenue, identifies the residents' share, and divides by 1,736 households will not get $60, and should not expect to. At the canonical household share, residents fund about 48.3% of the $4,598,000 the pro forma models for 2030 — roughly $2.22 million, or $1,280 per dwelling per year. That is not the same quantity as the $716 this document publishes, and the whole of the difference is convention rather than disagreement about a rate.

Four conventions separate them, and a residual remains after all four. The bridge is reproducible from working/cost-per-household/reconcile.py:

Figures are rounded to the nearest dollar, so a column may be a dollar out.

• Line coverage — $279. The headline is property and sales tax only. The revenue side also counts use tax on vehicle purchases (about $116 a year spread across all homes, disclosed here as a one-time cost instead), roughly $72 of building permit fees, $28 of franchise and minor municipal fees, $17 of specific ownership tax and $10 of marijuana tax. Most of that is not new money. Specific ownership tax is already collected at annual vehicle registration and split among taxing districts — incorporation makes the town one of the recipients rather than adding a charge. Building permits are already paid to Boulder County today, and under the modelled contract 85% of the fee passes straight through to the contractor performing the inspection. What is genuinely new is the vehicle use tax and the marijuana tax.
• Mean against median — $59. A per-household division gives the mean home, $1,270,431, against the median $1,090,100. Niwot's home values are skewed upward by a long tail, so the mean describes no actual house. The median is the better answer to “what will this cost me.”
• Dollar year — $128. The pro forma's 2030 column is in 2030 nominal dollars; this document is in 2025 dollars, because that is what a reader can check against their own assessment notice. Five years of 3% inflation is a 16% difference on its own.
• Lumpy items — $42. Remodel materials are real revenue to the town but are not a monthly bill, so they sit with the vehicle tax in the all-in figure rather than in the headline.

The residual, $49, is disclosed rather than absorbed. After all four conventions the revenue-side reconstruction still lands about $49 a year above the household-side derivation — roughly 7%, or $4 a month. The two routes are built from different data (the pro forma's modelled property line against parcel-level assessor values), so exact agreement would be surprising rather than reassuring. We publish the household-side figure, which is the lower of the two, and show the gap instead of splitting the difference. A reader who prefers the revenue-side route should read the published figure as about $4 a month conservative; that is the honest size of the disagreement, and it runs in the direction of overstating what a household pays.

Residents fund roughly half the town's revenue; businesses about 30%, visitors about 11%, and state and formula money the remainder. The reason a large base and a modest household bill are both true is that households are not the whole base.

Comparability Cautions

One verified benchmark, not two. The pro forma benchmarks against both Louisville and Lyons. Louisville is home rule and self-collecting, and publishes an “Outside City” category covering every vendor beyond its boundary. Lyons is a statutory town whose sales tax is collected and remitted by the Colorado Department of Revenue, so its reported figure rests on a different basis. We treat Louisville as the verified benchmark and Lyons as corroboration on a different basis — one verified side, not a bracket. Where Lyons is used above to test the income elasticity, that caveat applies in full.

The $16,500 ceiling is reasoned, not measured. Repeated here because it carries more weight than any other single judgment: it is our estimate of how much of an $89,972 expenditure basket could be taxable delivered goods, and it is not a published statistic.

The local spending share is an assumption. The 28% moves the monthly figure by roughly $3.60 across its plausible range and nothing observes it.

This is a planning model, not an adopted budget. The pro forma it draws on is not an adopted budget either. An elected Town Council would set a budget annually, and would do so with actual collections in hand rather than these estimates.

Revision History

This figure has moved twice in September 2026, and its ranges were rebased once. The reasons should be on the record rather than inferred.

The figure has returned to where it started, and it would be reasonable to ask whether anything was learned. The reasoning is entirely different: the 12 September value was correct given what was then known, and the 14 September corrections are findings that postdate it. Every correction made in September moved the figure in the same direction — downward — except the first.

The rebasing the same day is a different kind of entry, and worth separating from the four corrections above it. Nothing was recomputed and the headline did not move; what changed is that the ranges stopped answering two questions at once. It was raised by the niwottogether.org campaign, which had reproduced this paper's distribution table exactly and could not reproduce the $41 floor from it — the floor came from a spending assumption the table does not use. Their diagnosis was that the figure was underivable; it was derivable, but only by switching an assumption mid-range, which is the more useful finding and the one acted on here.

Open Questions

Two questions that stood here were put to the City of Louisville's Finance Department and answered on 14 September 2026, and both answers are recorded above. The residential and commercial split within Outside City is not something the City records, and could not be produced without auditing each vendor individually. The classification question is answered in the paragraphs on General Merchandise. The household share is not going to be measured by anyone; the bounds are the answer, and we are grateful to the City for saying so plainly.

1. Louisville: what share of the Outside City base arrives through the state's Sales and Use Tax System? Accounts filing that way default to General Merchandise, so this would size how much of the largest line is a classification and how much is a default. It is the remaining handle on the household share.
2. The 33 downtown businesses: what share of customers come from outside Niwot? The only question here that needs nobody else's cooperation.
3. Niwot household income at the boundary rather than the census place. The largest single uncertainty in the model. Census block-group data aggregated to the proposed boundary would address both the footprint gap and the margin.
4. The elasticity of taxable spending to home value. The published figures hold taxable spending flat across all 1,736 dwellings, which overstates the least valuable homes and understates the most valuable. The Consumer Expenditure Survey reports spending by category by income decile; classifying those categories as taxable or exempt in Colorado would give a fitted elasticity in place of the present judgment. Until then the figures away from the median carry this error in a known direction.
5. The income elasticity. A multi-town regression of taxable base per household on income would replace a judgment with a fitted value and a standard error.

Reproducing This

Every figure in this document is produced by scripts in the campaign's working repository, and the arithmetic there is the authority: where a narrative disagrees with a script, the script is correct.

Sources

• City of Louisville, Colorado. Finance Committee packet, 15 January 2026, Revenue and Sales/Use Tax Reports, November 2025, pages 39–45. Provided to the committee directly by the City. Cited excerpt.
• US Census Bureau, American Community Survey 2024 5-year estimates. Tables B19025 (aggregate household income), B11001 (households), B19301 (per capita income), B19013 (median household income). Niwot CDP, Louisville city, Lyons town, Colorado.
• Colorado Department of Revenue, DR 0100 net taxable sales by city and month, published as open data at data.colorado.gov (resource 2yhn-3dbj).
• Boulder County Assessor, 2025 actual values, parcel level, for the 1,736 dwellings inside the proposed boundary.
• Boulder County, Niwot Local Improvement District receipts, 2025 actual.
• US Bureau of Labor Statistics, Consumer Expenditure Survey 2024.
• Colorado Revised Statutes 39-26-707 (food for domestic home consumption) and 39-3-203 (senior and disabled veteran homestead exemption).
• Committee demographer, proposed boundary population, 4,305.