Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lassen County, CA
Series ID MHICILBCA06035A052NCEN
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 2:33 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 24097
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27674
1994-01-01 .
1995-01-01 30888
1996-01-01 .
1997-01-01 33609
1998-01-01 36082
1999-01-01 33806
2000-01-01 34324
2001-01-01 33363
2002-01-01 34028
2003-01-01 35021
2004-01-01 36367
2005-01-01 37872
2006-01-01 42018
2007-01-01 43406
2008-01-01 42739
2009-01-01 41938
2010-01-01 45823
2011-01-01 43555
2012-01-01 44074
2013-01-01 46348
2014-01-01 45570
2015-01-01 50531
2016-01-01 45140
2017-01-01 54289
2018-01-01 52673
2019-01-01 49328
2020-01-01 58448
2021-01-01 51387
2022-01-01 52972
2023-01-01 73515

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