Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Inyo County, CA
Series ID MHICILBCA06027A052NCEN
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 1:54 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 23249
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25597
1994-01-01 .
1995-01-01 27138
1996-01-01 .
1997-01-01 29738
1998-01-01 31943
1999-01-01 32370
2000-01-01 33762
2001-01-01 33472
2002-01-01 34351
2003-01-01 35230
2004-01-01 36457
2005-01-01 36345
2006-01-01 38163
2007-01-01 43346
2008-01-01 42913
2009-01-01 40475
2010-01-01 40479
2011-01-01 40869
2012-01-01 42058
2013-01-01 41900
2014-01-01 44287
2015-01-01 47255
2016-01-01 49004
2017-01-01 48643
2018-01-01 49319
2019-01-01 53169
2020-01-01 53715
2021-01-01 55355
2022-01-01 57108

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