Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Imperial County, CA
Series ID MHICILBCA06025A052NCEN
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 16221
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 17611
1994-01-01 .
1995-01-01 18985
1996-01-01 .
1997-01-01 19855
1998-01-01 21001
1999-01-01 26239
2000-01-01 28829
2001-01-01 28385
2002-01-01 29063
2003-01-01 30440
2004-01-01 31462
2005-01-01 33057
2006-01-01 34255
2007-01-01 31404
2008-01-01 33906
2009-01-01 35636
2010-01-01 36732
2011-01-01 33864
2012-01-01 35207
2013-01-01 37354
2014-01-01 35433
2015-01-01 36982
2016-01-01 39808
2017-01-01 39624
2018-01-01 43249
2019-01-01 45177
2020-01-01 42136
2021-01-01 48099
2022-01-01 50620
2023-01-01 55235

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