data trove veteran employment statistics

source /home/coolhand/html/datavis/data_trove/demographic/veterans/military_firearm_spouse_employment.csv 15 rows 3 columns profiled 2026-06-22 raw JSON static .html .ipynb Report Notebook

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dataset summary · medium confidence anthropic:default

This dataset captures spouse employment indicators — unemployment rate and labor force participation — across 15 U.S. states, likely in the context of military or veteran households. The most notable signal is in spouse unemployment rate, which ranges widely from 7.35% to 16.28% with a right skew and one flagged outlier at the high end, suggesting at least one state has a notably worse outcome for spouses. By contrast, spouse labor force participation is tightly clustered between 66.8% and 73.4% with no outliers, meaning most states see similar engagement levels even when unemployment varies — worth investigating whether high-unemployment states are simply retaining more job-seekers in the labor force.

citing: spouse_unemployment_rate.stats.min · spouse_unemployment_rate.stats.max · spouse_unemployment_rate.stats.mean · spouse_unemployment_rate.n_outliers · spouse_unemployment_rate.alerts · spouse_labor_force_participation.stats.min · spouse_labor_force_participation.stats.max · spouse_labor_force_participation.n_outliers · row_count · column_count

Charts the summary said to look at first

spouse_unemployment_rate · Look for the right-skewed distribution and the single high outlier pulling the mean above the median.

Show data table

Histogram bins for spouse_unemployment_rate (median: 9.53).
bin	count
7.35 – 9.136	6
9.136 – 10.92	5
10.92 – 12.71	1
12.71 – 14.49	2
14.49 – 16.28	1

spouse_labor_force_participation · Notice how tightly packed participation rates are across states, contrasting sharply with unemployment variability.

Show data table

Histogram bins for spouse_labor_force_participation (median: 69.8).
bin	count
66.8 – 68.12	2
68.12 – 69.44	4
69.44 – 70.76	4
70.76 – 72.08	3
72.08 – 73.4	2

state · Use this as a reference axis to compare unemployment and participation rates side-by-side across the 15 states.

Show data table

Top values for state (15 unique shown, of 15 total).
value	count	share
Arizona	1	6.7%
Georgia	1	6.7%
Texas	1	6.7%
North Carolina	1	6.7%
California	1	6.7%
Virginia	1	6.7%
Florida	1	6.7%
Washington	1	6.7%
Colorado	1	6.7%
Kentucky	1	6.7%
Hawaii	1	6.7%
South Carolina	1	6.7%
Oklahoma	1	6.7%
Kansas	1	6.7%
Alaska	1	6.7%

Schema

3 columns

Per-column summary. Click column name to jump to its detail.
				Alerts
state	categorical	0.0%	15	long_tail
spouse_unemployment_rate	numeric	0.0%	15	outliers
spouse_labor_force_participation	numeric	0.0%	15

state

categorical label long_tail

This column contains US state names, functioning as a geographic label across 15 distinct states. With n=15 and n_unique=15, every row has a unique state value — the dataset appears to contain exactly one record per state with no repetition whatsoever. Entropy ratio of ~1.0 confirms perfectly uniform distribution across all 15 states, each appearing exactly once (top_rate=0.067 ≈ 1/15). The 'long_tail' alert is a statistical artifact of the uniform distribution rather than a true concentration issue. Treatment: Use as a grouping or join key; with only 15 rows (one per state), this dataset is likely a summary table — verify before any aggregation or modelling. high · anthropic:default

n: 15
nulls: 0 (0.0%)
unique: 15
top_value: Arizona
top_rate: 0.06667
cardinality: 15
entropy: 3.907
entropy_ratio: 1

spouse_unemployment_rate

numeric feature outliers

This column records the unemployment rate associated with a respondent's spouse, expressed as a percentage. With only 15 rows and 15 unique values, every observation is distinct. The distribution is moderately right-skewed (skew = 1.04) with one flagged outlier at the maximum value of 16.28, which sits notably above the Q3 of 11.135 and drives the mean (10.19) above the median (9.53). The dataset is extremely small, limiting any statistical conclusions. Treatment: Investigate the outlier at 16.28 for data entry error; if valid, consider robust scaling before modelling given the small sample and skew. medium · anthropic:default

n: 15
nulls: 0 (0.0%)
unique: 15
min: 7.35
max: 16.28
mean: 10.19
median: 9.53
std: 2.591
q1: 8.285
q3: 11.13
iqr: 2.85
skew: 1.045
kurtosis: 0.1972
n_outliers: 1
outlier_rate: 0.06667
zero_rate: 0

spouse_labor_force_participation

numeric feature

This column captures the labor force participation rate of spouses, likely expressed as a percentage, recorded across 15 distinct observations (possibly countries, regions, or time periods). The distribution is remarkably tight — the full range spans only 66.8 to 73.4 (a 6.6-point spread) with a standard deviation of just 1.76 and an IQR of 2.4, suggesting these records represent a homogeneous group or a narrow slice of a larger dataset. No outliers, no nulls, and near-zero skew (0.22) indicate an unusually clean and well-behaved variable. Treatment: Use as-is in regression or clustering; the narrow range (66.8–73.4) means normalization may be needed if combined with broader-scale features. medium · anthropic:default

n: 15
nulls: 0 (0.0%)
unique: 15
min: 66.8
max: 73.4
mean: 69.89
median: 69.8
std: 1.762
q1: 68.6
q3: 71
iqr: 2.4
skew: 0.2249
kurtosis: -0.5287
n_outliers: 0
outlier_rate: 0
zero_rate: 0