Federal Reserve Economic Data

Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Caldwell Parish, LA

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Caldwell Parish, LA
Series ID MHICIUBLA22021A052NCEN
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 1:52 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 19474
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22349
1994-01-01 .
1995-01-01 25965
1996-01-01 .
1997-01-01 26775
1998-01-01 28217
1999-01-01 28148
2000-01-01 29561
2001-01-01 28617
2002-01-01 29056
2003-01-01 29766
2004-01-01 31158
2005-01-01 34681
2006-01-01 34140
2007-01-01 36510
2008-01-01 37720
2009-01-01 38756
2010-01-01 38179
2011-01-01 39868
2012-01-01 38230
2013-01-01 39601
2014-01-01 40100
2015-01-01 42539
2016-01-01 39374
2017-01-01 44014
2018-01-01 45299
2019-01-01 49350
2020-01-01 48750
2021-01-01 44009
2022-01-01 52376

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