Below are summary charts for various data sources in the White Pine County area. For more information on the data source, and for more data from that source select from the tabs below.
| White Pine County QCEW Summary | ||||||||
| Variable | Date | Current | Previous Month | +/- Month | % Month | Previous Year | +/- Year | % Year |
|---|---|---|---|---|---|---|---|---|
| Establishments | 2024 Q2 | 271 | 266 | 5 | 1.9% | 270 | 1 | 0.4% |
| Average Employment | 2024 Q2 | 4,310 | 4,164 | 146 | 3.5% | 4,381 | -71 | -1.6% |
| Average Weekly Wage | 2024 Q2 | $1,437 | $1,493 | -$56 | -3.8% | $1,315 | $122 | 9.3% |
| White Pine County Non-Seasonally Adjusted LAUS Summary | ||||
| As of October 2024 | ||||
| Labor Force | Unemployed Individuals | Employed Individuals | Unemployment Rate | |
|---|---|---|---|---|
| Current | 4,757 | 164 | 4,593 | 3.4 |
| Change Previous Month | −8 | 2 | −10 | 0.0 |
| Change Previous Year | 64 | 17 | 47 | 0.3 |
| Maximum | 5,309 | 543 | 4,917 | 15.0 |
| White Pine County Unemployment Insurance Summary | ||||||||||||
| Claim Type | Week of | Current | Previous Week | +/- Week | % Week | Previous Month | +/- Month | % Month | Previous Year | +/- Year | % Change | % of Total |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Initial | Oct 27, 2024 | 2 | 5 | −3 | −60.0% | 1 | 1 | 100.0% | 1 | 1 | 100.0% | 0.1% |
| Continued | Oct 27, 2024 | 13 | 15 | −2 | −13.3% | 15 | −2 | −13.3% | 17 | −4 | −23.5% | 0.1% |
In the Quarterly Census of Employment and Wages (QCEW) program, the Research and Analysis Bureau collects and compiles employment and wage data for workers covered by Nevada unemployment insurance laws, and federal civilian workers covered by Unemployment Compensation for Federal Employees. The QCEW staff arranges the data by type of industry according to the North American Industry Classification System (NAICS). They assign each employing unit a NAICS code and location code. After screening the quarterly data, they transmit it to the Bureau of Labor Statistics (BLS).
Employment data for QCEW are the number of covered workers who worked or received pay during the period that included the 12th day of the month.
In White Pine County employment is currently at 4,310 jobs in 2024 Q2 a decrease of 256 jobs from a maximum of 4,566 jobs in 2023 Q3.
Since the previous quarter the area has grown by 146 jobs (3.5%).
Since the previous year the area has decreased by 71 jobs (-1.6%).
Quarterly average weekly wage values are calculated by dividing quarterly total wages by the average of the three monthly employment levels (all employees, as described above) and dividing the result by thirteen. Annual average weekly wage values are calculated by dividing total annual wages by the average of the twelve monthly employment levels and dividing the result by fifty-two. These calculations are made from unrounded employment and wage values, so the average wage values that can be calculated from data from this database may differ from the averages reported due to rounding.
In White Pine County average weekly wages are currently at $1,437 in 2024 Q2 a decrease of $56 from a maximum wage of $1,493 in 2024 Q1.
Since the previous quarter the area has declined by $56 (-3.8%).
Since the previous year the area has increased by $122 (9.3%).
Reported number of establishments represents the number of establishments whose activities were reported to the Unemployment Insurance system for the quarter. An establishment is an economic unit, such as a farm, mine, factory, or store, which produces goods or provides services. It is typically at a single physical location and engaged in one, or predominantly one, type of economic activity for which a single industrial classification may be applied. Reported annual average number of establishments is an average of the corresponding quarterly number of establishment levels.
There are currently 271 establishments in White Pine County during 2024 Q2 a decrease of 32 establishments from a maximum of 303 in 2015 Q3.
Since the previous quarter the area has grown by 5 establishments (1.9%).
Since the previous year the area has increased by 1 establishments (0.4%).
The LAUS program produces monthly and annual employment, unemployment, and labor force data for census regions and divisions, states, counties, metropolitan areas, and many cities, by place of residence. The LAUS program provides labor force data (employment and unemployment rates) for each state and sub-state area (metropolitan areas, counties, and cities with populations larger than 25,000). LAUS data are used for planning and budgetary purposes, determining employment and training program needs, allocating federal funds under the workforce investment act (WIA) and the federal emergency management agency (FEMA), and identifying labor surplus areas, which receive preference in the awarding of federal procurement contracts.
White Pine County unemployment rate was 3.4 percent in October 2024, unchanged from 3.4 percent in September 2024, and up from 3.1 percent in October 2023, non-seasonally adjusted.
The unemployed percent of the civilian labor force [i.e., 100 times (unemployed/civilian labor force)].
Included are all persons who had no employment during the reference week, were available for work, except for temporary illness, and had made specific efforts to find employment some time during the 4 week-period ending with the reference week. Persons who were waiting to be recalled to a job from which they had been laid off need not have been looking for work to be classified as unemployed.
The number of unemployed individuals increased by 2 since September 2024 for a current level of 164 people, which is 17 more unemployed people than October 2023.
The labor force includes all people age 16 and older who are classified as either employed and unemployed, as defined below. Conceptually, the labor force level is the number of people who are either working or actively looking for work.
The labor force in White Pine County is currently 4,757 people, which is 8 less people than September 2024, and is up 64 people since October 2023.
These are all persons who, during the reference week (the week including the 12th day of the month), (a) did any work as paid employees, worked in their own business or profession or on their own farm, or worked 15 hours or more as unpaid workers in an enterprise operated by a member of their family, or (b) were not working but who had jobs from which they were temporarily absent because of vacation, illness, bad weather, childcare problems, maternity or paternity leave, labor-management dispute, job training, or other family or personal reasons, whether or not they were paid for the time off or were seeking other jobs. Each employed person is counted only once, even if he or she holds more than one job.
The number of employed individuals decreased by 10 since September 2024 for a current level of 4,593 people, which is 47 more employed people than October 2023.
The Federal-State Unemployment Insurance Program provides unemployment benefits to eligible workers who are unemployed through no fault of their own (as determined under State law) and meet other eligibility requirements of State law. Unemployment insurance payments (benefits) are intended to provide temporary financial assistance to unemployed workers who meet the requirements of State law. Each State administers a separate unemployment insurance program within guidelines established by Federal law. Eligibility for unemployment insurance, benefit amounts and the length of time benefits are available are determined by the State law under which unemployment insurance claims are established. In the majority of States, benefit funding is based solely on a tax imposed on employers.
Initial claims are the number of new jobless claims filed by individuals seeking to receive unemployment benefits.
As of the week of Oct 27, 2024, there are currently 2 initial claims in White Pine, which represents a decrease of 62 Initial claims from a maximum of 64 in the week of Mar 21, 2020. White Pine accounts for 0.08% of the state’s total of 2,423 initial claims.
Continuing claims are the number of people filing for unemployment benefits who have already filed an initial claim. In order to be included in continuing claims, the person must be covered by unemployment insurance and currently receiving benefits. They must have been unemployed for at least a week after filing the initial claim, per Department of Labor specifications.
As of the week of Oct 27, 2024, there are currently 13 continued claims in White Pine, which represents a decrease of 208 continued claims from a maximum of 221 in the week of May 2, 2020. White Pine accounts for 0.06% of the state’s total of 23,533 continued claims.
The Occupational Employment Statistics (OES) survey is conducted in all 50 states and the District of Columbia in conjunction with the U.S. Department of Labor, Bureau of Labor Statistics. The Research and Analysis Bureau of the Department of Employment, Training, and Rehabilitation (DETR) conducts the semi-annual OES survey for Nevada. The collected information includes occupation and wage data for Nevada, the state’s three metropolitan statistical areas (Las Vegas-Paradise, Reno-Sparks, and Carson City), and two Balance of State (BOS) areas. In addition to the area information, data is also available by industry.
Taxable sales are provided by the State of Nevada Department of Taxation.
In White Pine County, taxable sales are currently at $59,886,075 as of July 2024. This represents a decrease of $101,400,236 from a maximum of $161,286,311 in March 2012.
Compared to the previous month taxable sales in the area have increased by $29,456,954 (96.8%).
Compared to the previous year taxable sales in the area have increased by $22,903,531 (61.9%).
Data in this tab is sourced from the Federal Reserve Economic Data, (FRED) is an online database consisting of hundred of thousands of economic data time series from scores of national, international, public, and private sources. FRED, created and maintained by the Research Department at the Federal Reserve Bank of St. Louis, goes far beyond simply providing data: It combines data with a powerful mix of tools that help the user understand, interact with, display, and disseminate the data.
Population estimates are updated annually using current data on births, deaths, and migration to calculate population change since the most recent decennial census. For more on the census visit the U.S. Census Bureau for additional information. Estimates in this series are in thousands of persons.
Link to White Pine County resident population data.
Gross Domestic Product (GDP) by metropolitan area is the measure of the market value of all final goods and services produced within a metropolitan area in a particular period of time. In concept, an industry’s GDP by metropolitan area, referred to as its “value added”, is equivalent to its gross output (sales or receipts and other operating income, commodity taxes, and inventory change) minus its intermediate inputs (consumption of goods and services purchased from other U.S. industries or imported). GDP by metropolitan area is the metropolitan area counterpart of the nation’s, BEA’s featured measure of U.S. production.
The All industry total includes all Private industries and Government.
For more information about this release visit the Bureau of Economic Analysis.
Link to White Pine County GDP data.
Sourced from the U.S. Census Bureau in their Small Area Income and Poverty Estimates (SAIPE) report. SAIPE are produced for school districts, counties, and states. The main objective of this program is to provide updated estimates of income and poverty statistics for the administration of federal programs and the allocation of federal funds to local jurisdictions. These estimates combine data from administrative records, postcensal population estimates, and the decennial census with direct estimates from the American Community Survey to provide consistent and reliable single-year estimates. These model-based single-year estimates are more reflective of current conditions than multi-year survey estimates.
Link to White Pine County Household Income.
if (all(!is.na(Housing))) {
##### House Price Index Section ####
cat("##### Housing Price Index \n")
cat("<p>House Price Index (HPI) is a measurement tool of the movement of single-family home prices. It is published by the U.S. Federal Housing Finance Agency (<a href='http://www.fhfa.gov/' target='_blank'>FHFA</a>). This data shows indexed housing prices for {COUNTY_NAME_FULL}. The data is indexed so 1995:Q1=100 and is estimated using sales prices and appraisal data.</p>")
cat(glue("Link to {COUNTY_NAME_FULL} <a href='https://fred.stlouisfed.org/series/{county_hpi_link(COUNTY_NAME_FULL)}' target='_blank'>Housing Price Index</a>."))
## Housing Index plot
plot <- ggplot(data = Housing) +
aes(
x = date, y = price, group = 1,
text = paste(
"Date: ", date,
"<br>Price: ", price,
"<br>Index: 1995:Q1=100"
)
) +
geom_line(color = "#005a9c", linewidth = 1) +
scale_y_continuous(labels = comma) +
labs(
x = "", y = "Index",
title = glue("{COUNTY_NAME_FULL} Housing Price Index")
) +
theme_minimal() +
theme(
plot.title = element_text(size = 12, hjust = 0.5, colour = "black"),
plot.subtitle = element_text(size = 10, hjust = 0.5, colour = "black"),
axis.text = element_text(colour = "black"),
axis.title.y = element_text(size = 8, colour = "black"),
plot.caption = element_text(hjust = 0, colour = "black"),
panel.background = element_rect(fill = "white"),
panel.grid.major = element_line(colour = "dark grey"),
panel.grid.minor = element_line(colour = "light grey"),
legend.position = "none"
)
plotly_output <- ggplotly(plot, tooltip = "text")
cat(htmltools::renderTags(as_widget(plotly_output))$html)
cat("<br>")
cat("\n")
cat("\n")
}House Price Index (HPI) is a measurement tool of the movement of single-family home prices. It is published by the U.S. Federal Housing Finance Agency (FHFA). This data shows indexed housing prices for {COUNTY_NAME_FULL}. The data is indexed so 1995:Q1=100 and is estimated using sales prices and appraisal data.
Link to White Pine County Housing Price Index.This data comes from Table S1701 of the American Community Survey.
Multiyear estimates from the American Community Survey (ACS) are “period” estimates derived from a data sample collected over a period of time, as opposed to “point-in-time” estimates such as those from past decennial censuses. ACS 5-year estimate includes data collected over a 60-month period. The date of the data is the end of the 5-year period. For example, a value dated 2014 represents data from 2010 to 2014. However, they do not describe any specific day, month, or year within that time period.
Link to White Pine County Percent of Population Below the Poverty Level.