What is straight line depreciation?

Straight line depreciation spreads the cost of an asset evenly over its useful life. The annual depreciation expense equals the asset cost minus salvage value, divided by the number of years of useful life.

What does standard deviation tell you?

Standard deviation measures how spread out the values in a data set are around the mean. A low standard deviation means values are clustered close to the mean, while a high standard deviation indicates values are spread out over a wider range.

What is the interquartile range?

The interquartile range (IQR) is the difference between the third quartile (Q3) and the first quartile (Q1) of a data set. It represents the middle 50% of the data and is used to identify outliers.

Depreciation Calculator + Descriptive Statistics Calculator

Depreciation Calculator & Descriptive Statistics Calculator

Q: What is double declining balance depreciation?

Double declining balance depreciation is an accelerated method that applies twice the straight line rate to the remaining book value each year, front-loading more depreciation in the early years of an asset's life.

Q: What is the difference between mean and median?

The mean is the arithmetic average of all values in a data set, calculated by summing all values and dividing by the count. The median is the middle value when data is ordered from smallest to largest. The median is less affected by outliers than the mean.

Two powerful free calculators: compute asset depreciation schedules using five methods, and analyze any data set with 20+ descriptive statistics instantly.

Depreciation Calculator

Depreciation Method

Asset Cost ($)

Salvage Value ($)

Useful Life (years)

Declining Balance Factor

Total Useful Units

Units Produced per Period

Year-by-Year Depreciation Schedule

Year	Depreciation Expense	Accumulated Depreciation	Book Value (End of Year)

Depreciation Methods Quick Reference

Method	Best For	Expense Pattern	Core Formula
Straight Line	Steady-use assets, buildings	Equal each year	(Cost − Salvage) / Life
Double Declining Balance	Technology, vehicles	High early, low later	Book Value × (2 / Life)
Declining Balance	Custom-factor assets	Accelerated (custom)	Book Value × (Factor / Life)
Sum of Years Digits	Moderately accelerated	High early, tapers	(Cost − Salvage) × Remaining / SYD
Units of Production	Machinery, vehicles by use	Varies with usage	(Cost − Salvage) / Total Units × Period Units

What Is a Depreciation Calculator?

A depreciation calculator is a financial tool that helps businesses and individuals determine how much value an asset loses each year over its useful life. Depreciation calculators are essential for tax planning, accounting, and asset management because they produce precise schedules showing annual expense deductions and remaining book values.

Businesses use depreciation to match the cost of a long-term asset against the revenue it generates. Instead of expensing the full cost in the year of purchase, depreciation spreads that cost over the asset’s useful life.

Straight Line Depreciation

Straight line depreciation is the simplest and most widely used method. It produces an identical depreciation expense every year for the entire useful life of the asset.

Annual Depreciation = (Asset Cost − Salvage Value) / Useful Life

This method works best for assets that generate consistent utility over time, such as buildings, furniture, or office equipment.

Double Declining Balance Depreciation

Double declining balance (DDB) depreciation accelerates expense recognition by applying twice the straight line rate to the remaining book value each year. This front-loads depreciation into the early years of an asset’s life.

DDB Rate = 2 / Useful Life | Annual Expense = Book Value × DDB Rate

This method is appropriate for assets that lose most of their value quickly, such as computers, vehicles, and technology equipment.

Sum of Years Digits Depreciation

Sum of years digits (SYD) depreciation is an accelerated method that applies a decreasing fraction to the depreciable basis each year. The fraction uses the remaining useful life as the numerator and the sum of all years as the denominator.

SYD = n(n+1)/2 | Expense = (Cost − Salvage) × Remaining Years / SYD

Units of Production Depreciation

Units of production depreciation ties the annual expense directly to actual usage rather than time. Each period’s depreciation equals the cost per unit multiplied by the number of units produced in that period.

Cost per Unit = (Cost − Salvage) / Total Useful Units | Expense = Cost per Unit × Units Produced

Depreciation Calculator FAQ

Depreciation in accounting is the systematic allocation of an asset’s cost over its useful life. It is an expense recorded each period to match the cost of using a long-term asset against the revenue that asset helps generate. Depreciation reduces the book value of an asset over time without representing an actual cash outflow.

Salvage value is the estimated residual value of an asset at the end of its useful life. It is also called scrap value or residual value. Depreciation is only calculated on the difference between the asset cost and salvage value, because the asset is expected to retain at least that much worth.

For tax purposes, accelerated methods like double declining balance or sum of years digits reduce taxable income more in the early years, which can improve cash flow by deferring taxes. However, the best method depends on your jurisdiction’s tax regulations. In the United States, the IRS Modified Accelerated Cost Recovery System (MACRS) governs tax depreciation for most business assets.

Book depreciation is recorded in financial statements under accounting standards such as GAAP or IFRS, and companies choose the method that best reflects asset usage. Tax depreciation follows rules set by tax authorities like the IRS and uses prescribed methods and recovery periods. These two amounts often differ, creating deferred tax assets or liabilities.

No, land cannot be depreciated. Land has an indefinite useful life and does not wear out or become obsolete the way buildings and equipment do. Only the improvements made to land, such as buildings, parking lots, and fencing, can be depreciated over their useful lives.

Descriptive Statistics Calculator

Data Type

Sample Population

Enter Data Set Accepts comma, space, or newline separated values

Statistics Formulas Quick Reference

Statistic	Symbol	Formula (Sample)	Purpose
Mean	x̄	Σx / n	Central tendency
Median	x̃	Middle value of ordered set	Robust center
Std Deviation	s	√[Σ(x−x̄)² / (n−1)]	Spread around mean
Variance	s²	Σ(x−x̄)² / (n−1)	Squared spread
IQR	IQR	Q3 − Q1	Middle 50% spread
Skewness	γ₁	n / [(n−1)(n−2)] × Σ[(x−x̄)/s]³	Asymmetry of distribution
Kurtosis	β₂	Complex 4th moment formula	Tail extremeness
CV	CV	s / x̄	Relative variability

What Are Descriptive Statistics?

Descriptive statistics are numerical measures that summarize and describe the key features of a data set. Descriptive statistics include measures of central tendency (mean, median, mode), measures of spread (standard deviation, variance, range), and measures of shape (skewness, kurtosis).

Unlike inferential statistics, which make predictions about a larger population from a sample, descriptive statistics simply characterize the data you have. They are the essential first step in any data analysis workflow.

Measures of Central Tendency

Central tendency measures describe where the center of a data set lies. The three main measures are the mean (arithmetic average), the median (middle value), and the mode (most frequent value). The mean is sensitive to outliers, so the median is often preferred for skewed distributions such as income data.

Measures of Spread and Variability

Spread measures quantify how widely data values are distributed around the center. Standard deviation is the most common measure, expressing spread in the same units as the original data. Variance is the squared standard deviation. The interquartile range (IQR) measures the spread of the central 50% of data and is robust against outliers.

Skewness and Kurtosis

Skewness measures the asymmetry of a data distribution. A value of zero indicates a symmetric distribution. Positive skewness means the tail extends to the right; negative skewness means it extends to the left. Kurtosis describes the heaviness of the tails compared to a normal distribution. Excess kurtosis above zero (leptokurtic) indicates heavier tails and more extreme outliers.

Sample vs Population

When your data represents a sample taken from a larger population, standard deviation and variance use n minus 1 in the denominator (Bessel’s correction) to produce an unbiased estimate. When your data represents the entire population, the denominator is simply n. This calculator supports both modes.

Descriptive Statistics FAQ

The mean is the arithmetic average of all values, calculated by summing all values and dividing by the count. The median is the middle value when data is ordered from smallest to largest. The median is not affected by extreme values (outliers), while the mean is. For example, in a salary data set where one executive earns far more than others, the median is a better indicator of typical pay.

Standard deviation measures how spread out the values in a data set are around the mean. A low standard deviation means values cluster closely around the mean, while a high standard deviation indicates values are more widely dispersed. In a normal distribution, approximately 68% of values fall within one standard deviation of the mean, and 95% fall within two standard deviations.

The interquartile range (IQR) is the difference between the third quartile (Q3) and first quartile (Q1), representing the spread of the middle 50% of data. It is primarily used to identify outliers: any value more than 1.5 times the IQR above Q3 or below Q1 is considered a potential outlier. The IQR is more robust than the standard deviation when data contains outliers.

Use population statistics (denominator n) when your data set includes every member of the group you want to describe. Use sample statistics (denominator n minus 1) when your data is a subset of a larger population and you want to estimate the population’s true parameters. In practice, most real-world data sets are samples, so sample statistics are more commonly appropriate.

Skewness is a measure of the asymmetry of a data distribution around its mean. A skewness value of zero indicates a perfectly symmetrical distribution. Positive skewness (right-skewed) means there is a longer tail on the right side, pulling the mean above the median. Negative skewness (left-skewed) means the tail extends to the left, pulling the mean below the median. Most financial and natural data sets exhibit some degree of skewness.

The coefficient of variation (CV) is the ratio of the standard deviation to the mean, expressed as a decimal or percentage. It measures relative variability and is useful for comparing the spread of two data sets that have different units or very different means. A lower CV indicates less relative variability. For example, a CV of 0.10 means the standard deviation is 10% of the mean.