BiggerPockets Money Podcast - Is My Spending Reasonable? This Data Set Will Tell You
Episode Date: July 10, 2026Are you actually spending too much, or does it just feel that way because of where you live? In this episode of the BiggerPockets Money Podcast, Mindy Jensen and Scott Trench break down a new budget b...enchmarking tool that compares your spending to households like yours using real government data, regional cost-of-living adjustments, fair market rents, childcare costs, and local pricing. They explain the difference between cost of living and affordability, compare high-cost and low-cost cities, and show how housing, transportation, and income all impact your path to financial independence. You'll learn how to benchmark your own budget, identify areas where you may be overspending, and use data, AI, and your own transaction history to make smarter financial decisions. Whether you live in a high-cost city or a low-cost market, this episode will help you optimize your spending, increase your savings rate, and reach financial independence faster. To go beyond the podcast: Kick start your financial independence journey with our FREE financial resources - https://biggerpocketsmoney.com/ Subscribe on YouTube for even more content- www.youtube.com/biggerpocketsmoney Connect with us on social media to join the other BiggerPockets Money listeners - https://www.facebook.com/groups/BPMoney We believe financial independence is attainable for anyone no matter when or where you’re starting. Let’s get your financial house in order! Learn more about your ad choices. Visit megaphone.fm/adchoices
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Is your spending actually reasonable?
Today, we're diving into data that compares spending in high cost of living and low cost
of living areas, and we'll answer one of the biggest questions on the path of financial independence.
Should you spend more because you live in a high cost of living area, or are you just making excuses?
Hello, hello, hello, and welcome to the Bigger Pockets Money podcast.
My name is Mindy Jensen, and with me as always is my high-callity co-host, Scott Trench.
Thanks, Minnie.
It's great to be here.
I'm looking forward to spending a great hour with you here talking about budget benchmarking and spending.
A few months ago, we had a financial independence in New York City series where people are achieving FI or have achieved FI in a very high-cost living area than downtown Manhattan.
So we know it can be done. Today, however, we're going to be using data to ground the discussion about how average people or median people in given geographies actually spend and how that should ground the assumptions we have around financial independence.
Scott, what tool are we going to use to look at this?
Oh, boy, we're going to use another BP money tool.
These are all free, of course.
You can check them out at biggerpocketsmoney.com slash resources.
This one's specific URL findable from the resource library is biggerpocketsmoney.com
slash budget.
This is a beast of a dataset, I think it's a beast of a dataset, that I've assembled
with my AI companion and painstakingly checked, although there's going to be, of course,
deviations.
There's a lot of estimates and guess work in here in the first place.
But this basically takes people based on their household type and composition.
what income quintile they're in, top, you know, 20%, bottom 20%, middle 20%, that kind of stuff.
And then their location, and it takes government spending data, actual government spending data,
and modifies it for geography.
This is not aspirational.
I think a lot of buyer and financial independence content talks about aspirational, like what
spending ought to be in a given situation.
This is not trying to do that.
This is just saying, here's what I believe spending actually is.
per Bureau of Labor Statistics data, per HUD fair market rents in a given area, per regional
pricing adjustments, right? It's more expensive in Santa Cruz, California than it is in, you know,
certain towns in West Virginia. And then I also did a lot of work to get daycare costs in there,
because that's particularly relevant to my household, and I'm sure it is to a lot of people who
listen to the Bigger Pockets Money Podcasts. So combining those four data sets, adjusting for
inflation. I had to make some estimates and adjustments there that, you know, because this data,
some of the data is a year too old. But I think it's a pretty powerful tool. And we'll give you a
starting point, especially as we go on Finance Fridays with with guests on the show. And they
give us a budget. And they're spending. We can compare it to a household of four people making a middle
20th percentile income in Denver, right? And say, your spending is actually right in line with what we
estimate the average is to be here or your way above or below some of these categories. You may want to
be more conservative in your spending assumptions in early retirement, or you may want to focus on
bringing this spending down. I think this is great, Scott, including all of these different things.
Now, if I wanted to go in and play with this budget calculator, could I go in and mark child care
at zero since my kids are no longer in child care? Yeah, so I have child care off by default,
but if you do use child care, it will default to having them in full time. You can also toggle it to be
part-time here, child care and adjusted for your area. It's much more expensive to get daycare,
for example, in Denver than it is in many places in the Midwest.
People are just shocked at the differences in costs around these things.
And this is attempting to fairly present that data.
I think this is great, Scott.
So let's look at the, what did you say that was the most expensive?
One other thing I want to caveat here before we get into most expensive release is expensive,
is there's this concept of affordability.
And this calculator is not talking about affordability.
Affordability is a relative metric, right?
So incomes are very high in Denver.
and expenses are higher than, for example, counterparts in Memphis.
I don't know the answer right now.
Denver may be more affordable than Memphis when you adjust for incomes, right?
It's certainly not the least affordable area in the country,
and it's not less affordable than places that are lower cost.
So that's a big nuance in this.
This calculator is just talking about expenses in a raw sense
based in the best available government data
and the fairest adjustments I could make to bring it current to 2026.
Some of these studies are two years old,
and they needed to be adjusted for inflation, for example.
So the most expensive market in the United States of America that I can find is actually Santa Cruz, Watsonville, California.
And for a couple with kids that's not using daycare, I'm estimating you're going to spend about $12,600 per month at the median.
That includes $5,300 a month in rent and fair market rents for a three-bedroom apartment or house.
That includes $1,300 for food, which is probably pretty tight feeling for that family.
that's included $1,600 for transportation.
That's the one that I think that the fire community balks at the most, and rightfully so.
It's very easy, relatively speaking, to avoid $1,600 in transportation costs.
But that is my best guess of what the spending level of a median household in Santa Cruz looks like for two vehicles.
Okay, so we know that Santa Cruz is the most expensive city.
What's the least expensive city?
Yeah.
So of the places that I compiled data for, Beckley, West Virginia, which is in southeastern West Virginia,
is the cheapest market in terms of raw dollar costs to live in the country for this type of household.
So for a couple with kids age 35 to 44, I estimate that the median spending is about $6,500 for this household,
middle-income household in that area.
And that includes $1,300 a month in rent, literally $4,000 cheaper than Santa Cruz, a little bit cheaper on transportation,
much cheaper in basically every category here across the board.
That's a drastically different fire portfolio that you need to sustain this lifestyle for this
family than it is in Santa Cruz. Now, whether it's more affordable, I don't know. I actually,
I actually think that that's an open question. And I'm looking forward to combining this with the
tax projection tool I've built and a future income percentile band calculator to kind of see
where you sit inside the income spectrum. And I think that once you get those three data points
together, we can actually tell which one is the most affordable between those two markets. But
those are the two extremes, the most expensive and the least expensive market to live in in raw
dollar costs that my tool computes right now.
Okay. So for those listening who are like, why isn't the cheapest also the most affordable,
can you define what most affordable means to you? Well, it depends on income, right? So in raw sense,
we have if one area's median income is 60 grand and it costs 60 grand to live there, then, you know,
it's basically very challenging to save for the median household in there. If another area has a
$100,000 median income and the average cost is $85,000 to live there, that place is more expensive
to live, but that household has a better chance at saving money or accumulating wealth. And so that's
the challenge here. The economic opportunities have to be better in Santa Cruz than they are in Beckley,
West Virginia for the median income earner. But whether that allows them to save more or less,
I don't know. My guess is, yes, you can probably save more in Beckley, West Virginia than Santa Cruz
as a median income earner, but that changes when you get into the top 20 income quintile or the
next one down. And those two top two quintiles, I actually bet that that may change when we do that math.
So that's the fun part of this, right?
The data is going to be very interesting here.
And then, of course, you have to also compute that after taxes.
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So Beckley, West Virginia is not a place that I've ever been before and I'm not familiar
with this city.
I just Googled who is the main employer in Beckley, West Virginia.
And it said something that really makes me excited.
It says it does not have one single dominant employer as its economy is largely driven
by health care, education, government, and regional services.
So I like to see that in a city that I'm contemplated.
moving to because I lived near a city where the main employer shut down and the entire city
shut down and housing prices were all of a sudden worth nothing. It was a very depressed place to be.
It was not a happy place. Like the whole just vibe of the city was awful. So when I think of,
you know, places to retire, I'm thinking of places that I'm going to enjoy being at. And this city
that I used to live near was not a place that I enjoyed being at. I really like that they don't have
one single dominant employer. And I would encourage people to consider that when they're considering
moving. Just Google, who's the main employer in the area that you're looking to move to?
So I actually looked it up just now because we were talking about it, but it looks like Beckley is actually
a poster child for exactly what you're discussing, where it used to have very large employers in
one dominant industry in the coal mining space. And those employers have largely kind of left or
kind of receded to some degree, as I think the right word. And education and healthcare has replaced it.
So I wonder if Beckley actually suffers from exactly what you've described here. And that's one of the
reasons why costs are so low in that area. That could be. I mean, the reason that an area is a
low cost of living area is because there's not a lot of demand to live there. It's kind of like the
coasts, like the parentheses of the country is this is where everybody wants to live. So that's where
everything is really super expensive. And then the interior isn't quite so expensive. Mindy, what do you
think are some of the most common places in the fire community that people want to retire to?
You mean besides Longmont? Well, let's do Longmont. My tool says that Longmont is going to move,
we're going to associate it with the Boulder metro area, which is more expensive than Longmont.
Significantly more expensive. So because Longmont's a smaller town. I'm,
I'm mapping it to the nearest region.
Not crazy, but also you're going to have to make some reasonable adjustments there.
The headline number is that a family of four in the middle 20% in Longmont, Colorado is likely to spend around $9,100 per month.
And that's going to include $2,800 for housing.
Note that you can toggle this.
There's two different sources for that data.
So the 50th percentile is around $3,000.
The 40th percentile is around $2,800 for rent for that family.
They are going to spend $550 bucks on utilities, $1,300 on transportation, $1,100 on food.
600 a month on health care, 300 a month on entertainment recreation, 183 on apparel and services,
and $1,200 on other. This also includes an estimate for FICA of about $922, which is typical for
a median income household in that area. You can obviously toggle that off if you want to see
your expenses in an early retirement, for example, in that area. So does that sound about right?
Well, let's look at my specific situation. My house is probably worth $750, $800. And my tax
taxes are $3,200 a year. My insurance is $2,000 a year. My utilities are about $150 a month,
but I do have a full roof of solar panels. So that helps offset it. So you're even lower than
the $800 number that I have here. But I think without solar panels, you're probably looking at
somewhere in the $800 a month ballpark if your house is paid off. And so that leaves you with, you know,
the headline number is your peers in Longmont are probably spending $9,600 a month that are
working full-time, that have a mortgage and have two cars. And your household spending could
look more like $6,300 a month if you took care of those big two, the transportation and housing
budget. And that still leaves you with median spend everywhere else. And that's where I think
this tool, it can be very helpful for folks that are planning on this stuff. Now, health care is an
average. And if you want to map health care costs specifically, we have a different health care
tool, which I plan to merge all of these over time, but for now I'm building them as standalone
components. But the health care tool is available at biggerpocketsmoney.com slash health care costs.
So you can check that out.
I think that that's where this tool can be very helpful.
As you can see, hey, these are these, these places can be very expensive, but a lot of it is
driven by housing and transportation averages in your local area.
And if you map those to more reasonable numbers, sometimes these places look a lot less
scary.
So if we go back to Santa Cruz, for example, Santa Cruz, Watsonville, and you're spending,
I bet you can, you can live there if your house is paid off for somewhere closer to
$1,200 a month in housing, right?
That's just property taxes, insurance, and utilities, maybe more.
Let's call it 1,500.
I don't know how much utilities are.
in that area. And I bet you can do transportation for closer to 300, 400 bucks. Now all of a sudden,
you're really not, you're only looking at like another 1,000 to 1,500 bucks over the costs of Longmont.
So that can help you as well when you're looking at these areas. Yes. And the median home value
and listing price in the city of Santa Cruz is between 1.35 and 1.49. Yeah. So you just need
an extra 1.35 to $1.49 million to buy your house outright. And then you're good to go.
in Santa Cruz. The fire portfolio can be the same. Anyways, so yes, of course, it's like,
that's a drastically different challenge. But that's the point, right, is where's the best place
to retire to, you know, it's where you want to be. And I think cost is also a factor, right? So,
if it's going to take an extra, you know, $2 million or an extra $1.5 million to retire and live the
lifestyle of other people in a given area versus another, that may change your decision on how you
want to think about this stuff. And I think that, again, this tool is my best attempt to accurately
reflect the reality of spend in various areas. And then, of course, I think you should adjust
your budget based on your values. If you want to drive a Corolla and everybody else is driving
a Maserati, then, you know, you can drop down your transportation cost there. So, Scott, do you think
that a high cost of living or a low cost of living area is best for financial independence?
Obviously, a low cost living area is going to reduce your fire number. A high cost living area
is going to theoretically increase it and delay it. But I think in practice, you're going to find
that many people who pursue FI end their FI journeys with a very high income.
This is a common complaint we get on bigger pockets money.
Where's the median income earner who became a millionaire at 35?
Well, that's pretty rare.
And we get a bunch of stories and they're all real estate guys.
Okay, I bought like 10 properties and flip them or built those businesses while earning a
median income.
Great, that's possible.
You will find the median millionaire who never earns more than a median income and
invested traditionally.
But typically those folks are getting there in their late 40s or 50s.
or a little later than that. I think that the advantage of the high cost living area is that in many
cases, there's a higher income that goes along with it, and folks move into that income bracket,
especially in the last few years of their five journey whenever those hit. And that's a massive
compounding advantage. Without being an entrepreneur or a real estate investor, I think it might be
fairly hard to hit financial independence very early in life in some of these places that are not
nearer to large metros with those elite job opportunities. I'm sure there's plenty of exceptions.
you know, in military and certain industries.
But on average, I think that the higher cost of living areas will actually result in a
faster timeline to FI.
And I think that in the early years, if you can keep the housing and the transportation
costs low, the differences between even the most expensive and the cheapest markets
and the other categories is really not that large.
It's almost all driven by that housing cost.
That's the lion's share of the difference in affordability.
Yeah, the higher incomes can be gamed a little bit.
you change your housing costs by having a bunch of roommates, you change your transportation
cost by biking to work or even using public transportation in the case of our New York City
five people. I think one of them had a car and most of them just relied on the amazing public
transportation system that New York City has. There's a lot of ways to just in general live below your
means and take advantage of that higher income. But with the low cost of living areas,
Like you said, it's more of a, that's where you retire to, not where you grow your FI number.
And I'm, as soon as I say that, I can hear people yelling at their radios, I live in a low cost of living area and it's fine.
And I'm pursuing FI. Yes, that's great. You can pursue FI in any cost of living area. But I think the higher cost of living area, especially when you're younger, can just help accelerate your journey so much.
Yeah. I mean, this is the challenge with the financial dependence world is, is there's not good data.
Right? This is a fairly new concept. We don't have like, you know, huge samples of data. We have a lot of anecdotes. We have a lot of very certain opinions that conflict from various sources about how to invest and all that kind of stuff, which is fun. So what I'm trying to do is I'm just taking the averages of American households in here and then letting you map the differences in your situation to those averages. And so, you know, but, you know, here's an interesting one. If I'm 25 to 34 in Denver, the median expense is $5,000. But if your household,
hacking and get that close to zero and your bike into work and driving a
Corolla maybe 250 a month and car costs all of a sudden your expenses can be as
low as 3,000 bucks a month and you're not living anything any differently than
the median in every other category right and so that's the fun part about this
that kind of helps you with that the lion's share of the budget is always the housing
area here one other note here is that Bureau of Labor Statistics spending
includes savings and pension contributions so you can exclude those from your
actual spending targets because that's not really a spending category as we think about it in
five and you can mark that to zero in a lot of cases. In fact, I will ship a toggle following this,
now that I've said that, to allow this to turn off if you're computing your savings rate,
for example. That is good, Scott, because I don't consider your saving for retirement as part
of your expenses. I don't want anybody cutting that out unless they have a good reason.
One practical application of this potentially is, you know, use your favorite AI. And what I do is
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spending and upload it to your favorite AI, if you're comfortable with sharing the data
with the AI. I am. I understand that there's a risk that comes with it, but there's also great
advantages in the information I get. And I figure when the AI
becomes general AI and takes over, they're going to be able to hack my data anyways.
So the advantages of that is going to be fairly low.
But you download that and then you can insert it and compare it to other households of your
type by looking at the average spend by income quintile or whatever from this tool and say,
Claude, where do I differ?
Where's my spend higher or lower?
Where am I spending more or less than people like me in my area and where the opportunity
is to cut my budget?
This is an exercise I've done regularly.
and it's made a huge difference in my annual spending without actually impacting my my happiness.
Oh, what did your AI tell you to cut out, Scott?
Well, it just looks at the transactions.
Here's the recurring ones.
Do you really use that?
Here's the, you know, the areas for consideration are here.
You know, you've really got to pay attention to Amazon shopping, for example.
That was a big one for us, you know, eating out.
There's probably should be some constraints here and here.
Like, it's just very helpful with those things and you can look at it and say,
okay, my food away from home is this.
much, and that's more than, you know, most people spend on both in that particular month. I got
to cut back here. That's a little unreasonable. I'm going to be more reasonable next month. So that's
the kind of thing this can be helpful with, I think, in terms of benchmarking you against other households
of your type. I love that. You know, I want to remind our listeners, and I probably don't even
need to remind them, because who hasn't read the shockingly simple math behind the early retirement
post from Pete? But he says in that post, your expenses are the number one.
predictor of how long your timeline is going to be. Pete's got a chart in the middle of this article
that says if your savings rate is 5%, it will take you 66 working years to get to retirement.
If your savings rate is 80%, it will take you five and a half years to get to retirement.
There's every number in there between five and 100. If your savings rate is 100%, you have zero years
to retirement. But you can see how this affects your timeline to retirement. And this is, it's
pretty exponential. 5% savings rate, 66 years, 10% savings rate, 51 years. You've shaved 15 years
off of your retirement just by saving 5% more. Yeah, and it's free. It's amazing how people will work
40 to 50 hours to earn the next dollar, and then they won't put in the four to five hours
of work a month needed to save many, many, many, many times their hourly rate and costs
in that month alone. And I think that this exercise hopefully will be a good starting point of,
hey, what does an household like mine spend?
What's my actual spending?
Let's beat it up.
And by the way, if the AI bulks at the data set doesn't understand it, there's a methodology
section here.
You can copy and paste right into the AI to get it comfortable with it or get yourself
comfortable with all that.
But I think this is powerful.
It's meant to be used with the AI, and I've used it personally.
And so like this last month, after several months of other exercises in cutting spend in
various other areas, I focused on my electricity bill.
And so I made certain changes to like the biggest single.
change was how I set my thermostat over the course of the year, which is silly and whatever,
but I was cooling it to a lower temperature in the summer than I was heating it to in the winter,
for example.
Like very silly, just basic thermostat setting there, fix that, and I should probably save like
30 bucks this month, and that compounds each month over the course of the year.
So that's a big deal when you make those types of changes, and they take it just a few minutes.
And do you feel uncomfortable now that you have cranked up your thermostat?
Well, I didn't crank the thermostat. I just had it set to like a preposterate. I probably was frustrated one day with how it was working at some point a year or two ago and jacked up my system settings, my defaults. And so I just put it to the right numbers. That's all it was. But you know, that AI kind of checks it and it's like, hey, for your household, you're kind of a little over spending for electricity in these areas. Is that same right? Well, I have an electric car. Okay, well, you know, let's adjust for that. You know, we can fix this and this and this. And so that's that's the power of, I think, having these tools and data sets and comparing the,
them against your own personal data. Everyone's spending is different, but benchmarking,
I think, is valuable.
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You know, if you are finding yourself paying a little bit more for electricity than you should, like Scott was,
bump it up two degrees, bump it up four degrees.
See if that's uncomfortable.
Four degrees might actually be uncomfortable, depending on how low you were setting it before.
But every degree that you can go up is just more money that you're not giving to the electric company.
that you can put into your bank account, into your investment accounts. And Carl and I did this over the course of several winters where I would love it if the furnace was at 75. And he's like, no way, it's too hot. Let's put it at 65. It was like, there's no way we're doing it at 65. And we have gotten it down to, I think, about 68 in the wintertime. We will warm the house. And then if we're still cold, you just throw on a sweater. With the summertime, it's a little bit different. Carl can't sleep unless he is really, really, really cool.
cool. So I'm almost embarrassed. We cool our house to 73. Why are you embarrassed to cool your house to
73? I have to sleep in the 67 to 70 range. So we keep the upstairs where we sleep down in that range
year round for sleeping. Okay. I thought that was a little low. No, but anyways, so we spent too much
time on the thermostat here, but it's one of those categories that I think, you know, after you go through
and knock out the other ones, you can get to in the right order. And the AI and these data sets will
help you find where those big leverage points are in your budget and categorizing the way other people
do. So I think that's the power of the tool here. And then one risk factor I'll call out here
that I think is fairly acute in the Phi community is let's say that you are comparing your spend
to the middle quintile of income earners in your city. That's great. But if you've spent your entire
career earning in the top 20 percent or the, you know, the fourth 20 percent, you may find that
you want or that you're spending in some categories regressive.
towards the spending of your peers, the people that you've worked with, maybe your friends,
depending on how that looks. And so you may want to play around with those and think about,
hmm, I'm currently spending, you know, for my household for a thousand bucks a month on food.
But in my early retirement in five, seven years, I may want to be prepared that that spend
may want to jump to $1,400 a month if I have that option. And that can just change some of the
ways you think about these things. I think you should be open to that possibility over time
as your wealth grows, you know, and depending on your peer sets there. So a risk that's just there.
And again, you can play with the data and figure out if that's something that you think is
realistic for you. Yeah, Scott, I think a lot of people don't take into consideration how much
they're going to actually be spending in retirement. They're like, oh, this is what I'm spending now.
Therefore, that's what I will be spending in retirement as well. I think this budget calculator
is a fun way to compare yourself to what other people in your area are doing and look at other
areas available to you and see if there's any place you might want to move during your
five journey or after your five journey is over. I know someone who moved from a very high cost of living
area on the east coast to middle of Kansas loves their town. It's a very small town,
very low cost of living. I want to say they paid less than $100,000 for their house. And they're
completely fine with this. They do a lot of traveling, but they do come back to their house. They love their
little house. It's just, it's a nice small town to live in. Where do they move from into? They moved from
one of the Carolinas to a town in Kansas you've never heard. There's like 19 people that live there.
It's a really, really tiny town. Okay. So we're going to compare Charlotte, North Carolina.
They have kids? No kids. No kids. So a couple without kids. They're 35 to 44?
I would say they are my age. They're probably 50. Okay, 45 to 54. So Charlotte, North Carolina,
we're looking at like $9,000 and spending if they're renting and driving, you know, the two cars
with leases or whatever in there. And if they move to Manhattan, Kansas, the little apple, I know that
plays well because that's where my brother-in-law lived. There's a big army base there. The spending would
drop to about $8,000 a month, mostly dropping off the housing set up there. From 9,000 to 8,000,
I think 8,000 is grossly over budgeting. Sorry, I'm in the fourth income quintile. Let me redo this.
So Charlotte, North Carolina, we've got $6,700 for the middle quintile.
And for Manhattan, Kansas, for that same middle quintile, we've got $5,900.
So what is that?
59 versus 67, mostly driven by housing and a slight drop in transportation costs.
But I think you'll find that, like, the groceries are not necessarily that big of a change.
The health care costs may not be that big of a change.
Your entertainment budget may not be that big of a change on average in some of these places.
clothing is not that big of a difference. Utilities may not be, it's going to be housing,
transportation, and some of the miscellaneous categories that are going to be different in
many of these areas, right? So, you know, like even when we adjust groceries for like a Beckley,
West Virginia, you know, for this couple with no kids, we've got $784 for groceries,
Santa Cruz, we've got $1,100 for groceries, right? $400 more. That's a real difference. That's like a
40% increase in food costs, but it doesn't seem like that much relative to the enormous jump,
almost $2,000,000 jump in housing costs for this couple. So where a lot of that is located.
I think their expenses are a lot less than $5,000 a month. I bet you if you buy a house for $100,000 in
Manhattan, Kansas, and you compare that to the cost of buying a house for $600,000 in Charlotte,
North Carolina, I don't know what it is, but let's call it $600,000 for the same type of house.
that's the ball game right there for that for that couple yeah that is the housing costs here all use
rent which is housing is just a crapshoot right because what am i going to put in there if i put in rent
then i have this problem where people who have paid off housing are going to have violate different numbers
but how can i possibly know when you got your mortgage what your cost basis was and your home purchase
for all that so that's why i swapped the BLS data with the HUD data for rents i think that's fair because
yeah like you said my mortgage is $1,600 a month and
the new mortgage on the new house is going to be something like $4,000 a month.
And a couple with kids, renting a three-bedroom house in Longmont is going to pay somewhere
in the ballpark of $2,800. That's valid.
In the middle quintile, and if you're in the next one up, you're going to pay $3,200 or $3,300.
And if you're in the top income bracket, you're going to pay somewhere in the $5,000 mark
for really nice fancy house for rent.
I would say all of those numbers track.
That's for the renting piece.
If you're going to buy, then all bets go off the window because if you're going to buy,
It's however much you put down, what your mortgage cost is, all that kind of stuff.
Anyways, I had fun with this.
You can tell I thought about a lot about the data.
Hopefully it's helpful to people that are trying to just get a gauge of,
is my spending reasonable in these categories?
I think the best thing you can do is track your spending, make those decisions yourself,
pay attention to every transaction and do this log of work needed to actually know where
your money is going.
I think you should also plug it into an AI if you're comfortable with that.
I was informed by a listener recently.
You can actually set up a connection between Claude and your Monarch.
account. So it can have a real-time feed into your transactions. I have not done that yet. That's a
great suggestion. I probably will set up some kind of agent or project helping with that to manage
my spend. And then, of course, hopefully this data set is a useful companion to that to compare your
spending as it comes out to what other people in your area are actually spending with households
like yours. Yeah, Scott, I'm glad you had fun creating this. You said you spent a lot of time thinking
about it. Is that what we're calling obsessing now? I'm having fun. You think like all of these are
components, you know, again, I need an income one, I need a tax one, I need a Monte
Carlo Sim. That's going to be the real beast of a project, is can I can build all this up to
income expenses, accumulation and decumulation engine. One nice thing, that's going to take me
at least a year. But for now, the components are hopefully useful block by block as we release
them here at biggerpocketsmoney.com. So again, you can find all of that at biggerpocketsmoney.com
slash resources, and you can find this specific tool at biggerpocketsmoney.com slash budget.
All the tools are free.
There's no email required.
I'm not storing any data.
This is actually a single HTML file, so it just runs in your browser.
I don't collect anything.
There's no login or whatever.
It doesn't persist.
So save it or screenshot it if you want to store it because we're not storing it for
you over here, I'm over here at BP Money.
Okay.
Well, Scott, thank you to you for creating this and all the other fun calculators on our website.
And a note to our listeners, this episode is ended.
but that doesn't mean that you have to stop learning.
You can hop on over to biggerpocketsmoney.com
and find more of these resources in the resources tab.
We have a blog, we have a newsletter,
we have a ton of calculators and templates.
All of this is designed to help you accelerate your financial independence journey.
And what was that cost again, Scott?
Free.
We'd give you a money back guarantee,
but there's currently no way for you to pay us over at Bigger Pockets money.
So there's no opportunity to refund you any money.
So, but I will say, you know, these are data sets. These are complicated. I'm checking them a lot and I'm going through these situations like here with Mindy. But I just got great feedback the other day on my tax projection tool that, you know, hey, you're not really stating the potential burden for self-employment taxes unless you add in a new component here, a new field for each earner, right? Because each earner can get taxed on FICA, like Social Security and Medicaid. I didn't build that into the tool. And someone asked me to build that as an easy thing for me to fix.
these days. So I think I actually responded within an hour to this person and got that got that live.
But that's the kind of feedback that really helps these tools get a little better. So please email me, Scott,
at biggerpocketsmoney.com. If you have any suggestions like that, that can increase the accuracy
or usefulness of the tools here, as we're bold and meld. Yeah, please email Scott at biggerpocketsum
dot com and let him know if you find any mistakes, any suggestions you have, what can make it
better. That would be fantastic. Scott has nothing to do all day except listen to your emails, right?
Is that how you characterize your day, Scott?
A lot of my day is making changes to these apps and I vibe code them, right?
So I'm using the AI and then I'm going through many rounds of checks alongside that to try to make sure that it's actually presenting the way I want.
And in between those, I have plenty of time to respond to emails, yes.
So following the discussion with Mindy, I made one update to the calculator that I wanted to highlight here,
which is one of the interesting use cases for this tool might be to compare geographies and see how you're spending in Denver, Colorado might compare to if you have moved, picked up a move to Santa Cruz.
Beckley, West Virginia. And so this comparison tool shows the differences estimated on average from
the datasets that we've compiled in those areas and allows you to toggle that. Maybe your situation
will result in lower expenses in one area versus another because you have family nearby or what have
you. So go ahead and play with that. Maybe it'll help you at least get an idea of some of the costs
of areas that you might be considering living in at a directional view. All right. That wraps up
this episode of the Bigger Pockets Money podcast. We will see you again.
On Tuesday, he is Scott Trench.
I am Mindy Jensen saying bye for now, Brown Cow.
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