Federal Reserve Economic Data

Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Ashe County, NC

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Ashe County, NC
Series ID MHICIUBNC37009A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2022-01-01
Last Updated 2023-12-14 1:51 PM CST
Notes The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
DATE VALUE
1989-01-01 21205
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25103
1994-01-01 .
1995-01-01 28631
1996-01-01 .
1997-01-01 30056
1998-01-01 31462
1999-01-01 30619
2000-01-01 32345
2001-01-01 31341
2002-01-01 31696
2003-01-01 32294
2004-01-01 33318
2005-01-01 33978
2006-01-01 34220
2007-01-01 38101
2008-01-01 38820
2009-01-01 37516
2010-01-01 34370
2011-01-01 37083
2012-01-01 37075
2013-01-01 38235
2014-01-01 39897
2015-01-01 38363
2016-01-01 43265
2017-01-01 44248
2018-01-01 46021
2019-01-01 45187
2020-01-01 49345
2021-01-01 50185
2022-01-01 59972

Subscribe to the FRED newsletter


Follow us

Back to Top