Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Cowlitz County, WA
Series ID MHICIUBWA53015A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:11 AM 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 31772
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 35039
1994-01-01 .
1995-01-01 38628
1996-01-01 .
1997-01-01 40149
1998-01-01 41758
1999-01-01 41188
2000-01-01 43417
2001-01-01 41707
2002-01-01 42092
2003-01-01 42987
2004-01-01 44520
2005-01-01 45471
2006-01-01 46822
2007-01-01 46986
2008-01-01 50902
2009-01-01 48457
2010-01-01 45694
2011-01-01 46269
2012-01-01 50280
2013-01-01 51348
2014-01-01 47115
2015-01-01 53577
2016-01-01 55436
2017-01-01 53399
2018-01-01 62312
2019-01-01 61525
2020-01-01 68033
2021-01-01 73815
2022-01-01 77483
2023-01-01 77685

Subscribe to the FRED newsletter


Follow us

Back to Top