How to Read the Marital Status Chart

Choose Never Married, Divorced, Widowed, or Currently Married to compare all five counties. For every county, the chart shows two bars: one for the share of its reported male population in that status and one for the share of its reported female population. For example, Lea's 36% “Never Married” male value means 36% of the males represented in Lea's source population, not 36% of all Lea residents or households.

All bars start at zero and use the same 0–60% scale, so their lengths can be compared directly. The value beside each bar is the reported percentage. Highest First and Lowest First reorder counties by the male share of the selected status; the female values remain alongside for comparison. Open the exact-values table below the chart to see all four categories together.

01 / Denominator

Read Within Each Group

A male and female percentage use separate populations. They do not combine into a county total.

02 / Categories

Compare One Status at a Time

The chart changes category when you use the selector; it does not show four stacked parts of a whole.

03 / Time and Scope

Do Not Infer a Trend

The reference year is unconfirmed, and separated residents are not displayed. The figures cannot show whether a status is becoming more common.

A useful first comparison is Never Married: Chaves reports 41% of males and 30% of females, while Lincoln reports 25% and 18%. Switch to Widowed and the pattern changes: Lincoln has the highest displayed shares, 6% of males and 13% of females. Those contrasts identify where local context deserves a closer look; they do not explain why residents have a particular status.

Compare the Evidence

Marital Status Across the Five Counties

Choose a marital-status category to compare male and female shares in each county. Bars start at zero; values remain visible beside every bar.

0%Percent60%

Chaves

Male
41%
Female
30%

Otero

Male
40%
Female
29%

Lea

Male
36%
Female
28%

Eddy

Male
34%
Female
24%

Lincoln

Male
25%
Female
18%

Never Married · A consistent zero-based scale makes the differences visible.

Reference year not specified. These reported shares are historical context, not current estimates. Each percentage is within the county’s reported male or female population. Separated residents are not displayed, so the four categories are not a complete partition; rounded values should not be added to estimate a total.

View All Values in a Table
Marital Status Across the Five Counties · %
CountyStatusMaleFemale
ChavesNever Married41%30%
OteroNever Married40%29%
LeaNever Married36%28%
EddyNever Married34%24%
LincolnNever Married25%18%
ChavesDivorced13%17%
OteroDivorced14%15%
LeaDivorced8%16%
EddyDivorced11%14%
LincolnDivorced15%15%
ChavesWidowed3%9%
OteroWidowed2%10%
LeaWidowed4%7%
EddyWidowed3%9%
LincolnWidowed6%13%
ChavesCurrently Married43%43%
OteroCurrently Married45%46%
LeaCurrently Married53%49%
EddyCurrently Married52%54%
LincolnCurrently Married54%54%

Patterns in the Reported Snapshot

The four categories tell different parts of the story. These observations describe the values displayed in the chart; none establishes a cause or a change over time.

Never Married

Higher Male Shares in Every County

Reported male shares range from 25% in Lincoln to 41% in Chaves. Reported female shares range from 18% to 30% in those same counties. The chart does not identify age or recent migration within either group.

Divorced

The Difference Varies by County

Chaves reports 17% of females and 13% of males in this category; Lea reports 16% and 8%. Lincoln reports 15% for both. These percentages do not indicate whether residents have children or live alone.

Widowed

Higher Female Shares Throughout

Female shares exceed male shares in all five counties. Lincoln has the highest displayed values for both groups: 13% of females and 6% of males. Age and living arrangements need separate evidence.

Currently Married

A 43–54% Reported Range

Lincoln reports 54% for both males and females; Chaves reports 43% for both. A married share is not a count of two-income households or a measure of economic security.

Key Insights

Use the comparison to decide what to investigate, then test those questions against current local data and residents' experiences.

Keep People and Households Distinct

A marital-status share describes individuals within a reported male or female population. Pair it with household composition before planning for family size or housing type.

Examine Age and Support Networks

Lincoln's reported widowed shares are the highest for both groups. Review age, living arrangements, transportation, and service access rather than assuming all widowed residents have the same needs.

Ground Service Decisions in Local Evidence

Divorced shares differ by county and sex, but the chart does not measure childcare, housing cost, or financial strain. Current household and income evidence can show where support is actually needed.

Treat This as a Baseline Question

Without a confirmed reference year or a second comparable observation, the page cannot claim that marriage, divorce, or singlehood is rising. Confirm current rates before using the pattern to set priorities.