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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Ferry County, WA
Series ID MHICILBWA53019A052NCEN
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 2:32 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 21970
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24933
1994-01-01 .
1995-01-01 26264
1996-01-01 .
1997-01-01 27318
1998-01-01 27302
1999-01-01 27569
2000-01-01 28057
2001-01-01 27474
2002-01-01 27688
2003-01-01 28712
2004-01-01 28794
2005-01-01 30314
2006-01-01 29896
2007-01-01 31587
2008-01-01 31369
2009-01-01 31185
2010-01-01 32271
2011-01-01 31245
2012-01-01 32847
2013-01-01 34798
2014-01-01 36038
2015-01-01 36724
2016-01-01 36332
2017-01-01 39123
2018-01-01 36490
2019-01-01 41969
2020-01-01 40270
2021-01-01 44456
2022-01-01 50636
2023-01-01 50291

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