"TEXAS BUSINESS l~EVIEW Bureau of. Business Research The University of Texas Vol. XVIII, No. 6 July, 1944 A Monthly Summary of Economic and Business Conditions in Texas By the Staff of the Bureau of Business Research, The University of Texas F. A. Buechel, Editor. _J 2 1929 1930 1931 1932 1933 1934 1935 1936 1937 1938 1939 1940 1941 1942 1943 *After deduction of \Va~e5. i 6stimated b4 Bureau of Business llesearch on basis of unofficial information. t Includes i:ederal 5ubsid4 prn.iment5. !=or 1943 these \Vere estimated at 40 million dollars. . 1-JOTlii : To ad/1.1sl for ti7comp/.zle markelin?_s kn_per cenl 1vqs added lo Ille compul12d ~qurv on farm CO'"n income for q// 11ears excepl /94Z and 1945, for ivhkh rears six per cenl 1vas added. Entered ae second clasa matter on May 7. 1928, at the post office at Austin, Texaa. under Act of August 241 1912 TEN CENTS PER COPY ONE DOLLAR PER YEAR TEXAS BUSINESS REVIEW I N DEXES OF BU S I ·NE S S ACT I V I TY IN TEXAS A V E ~ l Gt ij 0 N T M 0 f 19 lO • 100 '/. • W E I 6 t1 t ·IN ( 0 Iii t 0 S I T f. IND [I • lM, LOY ~ lNl ·2Sf. ll lS(L. r ... llGlll (AhlOAPINGS · 2 0 f. ,~ Y,..,OlLS ·2~1. c:. ... utn 01 L ,.,UN, • s 1. Business Review and Prospect . A distinctive feature of the economy of Texas is the . relatively large percentage of its industry and trade which is carried on by small or moderate sized manu­facturing and distributing establishments. With. the ex­. ception of a few lines of industry, such as oil refining and meat packing, there were not, prior to 1930, any great mass-production industries in the State. During the middle and later 1930's a fair number of mass­production industries were established in the State as part _and parcel of the wave of industrialization which swept into Texas during that period. On the other hand, in 1941 there were in Texas approximately 85,000 retail establishments, 10,000 wholesale establishments, and 8,000 manufacturing plants, the great proportion of which belong to the category of small industries. It is to be expected, therefore, that the growing interest which is. being manifested in small business problems through­out the nation at large will become particularly intense here in Texas and, in fact, throughout the Gulf South­ west. Small business groups are being formed covering every line of activity, each having in view its own special problems. The thinking of those composing these groups in most cases is still nebulous and the "visibility limited," hut there is a growing sense of -the imminence of significant business transformations which will vitally affect their future. Since the Federal Government in response to war needs has of necessity been compelled to enter into every phase of the nation's economy, the policies of the government with respect to its withdrawal from these _activities are of direct concern to innumerable small businesses in Texas and throughout the land. The great business corporations can each present its problems directly to the government, but the great number of small business units must meet their problems through group action. An illustration of a small business group which already has made good progress and gives promise of much. more is the Smaller ·war Plants Corporation headed by Maui v Maverick. The periodical, Trerul, has this to say in its July 13 issue under the heading "Term· inations." "Something may be done to follow up the sug­gestion of Maury Maverick that small plants be allowed to keep on producing war materials for a while ·after the war contracts of big business are terminated. Maverick, head of the Government's Smaller War Plants Corporation, holds that such a policy would cushion the shock of cancellation unemployment and give small business a little extra time to prepare for serving consumer markets. "Little opposition is looked for from · the big fellows. By and large, the sooner they can quit war production and start reconverting, the better they'll like it." The United States Department of Commerce is giv­ing a great deal of attention to small business problems in collecting, organizing, and interpreting a wide range of data and information on this subject. Especially active is the Bureau of Foreign and Domestic Com­merce, one of the divisions of which is now centering its main attention on the problems of small business. It is planned to bring together as much information as pos­sible on all phases of the question and to disseminate this information through the regional offices of the Bureau of Foreign and Domestic Commerce. The studies will be such as to bring out the regional differences and characteristics of the problems to be met. FARM CASH INCOME Cash income from agriculture in Texas during June totalled approximately $98 million, an increase of 18 per cent over the $83 million received in May and an increase of 38 per cent over the $71 million in June, 1943. ·Aggregate farm cash income for the first six months of the year was $426 million compared with $390 million during the corresponding period in 1943, an increase of more than 9 per cent. The composite index of farm cash income during June shows an increase of 184 per cent over the base period, 1928-1932 inclusive. Increases in the several crop reporting districts vary considerably as will be noted in the following table: INDEX OF AGRICULTURAL CASH INCOME I TEXAS ;.·:: ,. ;,-; '-._ ~~,. . Cumulative Cash Income in Thousands of Dollan January-June InclusiTe District• June, 19'4 May, 1944 -June, 1943 1944 1943 1-N -----201.5 144.9 163.3 33,034 51,684 1-S · __________ 4-03.6 4-05.6 504.0 37,066 36,658 220.9 161.7 37,197 33,815 2 ------------342.4 3 266.8 152.1 22,632 16,884 ------------351.0 252.2 150.1 55,036 42,9914 ----------227.4 5 ---------345.9 229.2 269.0 25,529 21,194 247.2 200.4 18,834 26,912 6 -------------230.3 7 -----------230.8 211.2 215.7 34,798 34,390 8 315.4 209.0 39,232 28,677 ---------322.4 9 -----------259.4 242.2 294.7 30,474 27,797 10 i0.4 100.5 16,155 19,996 -----------118.0 10-A ----422.5 977.2 744.4 76,386 49,280 STATE ---284.1 274.5 206.5 426,373 390,278 The sharp increase in cash income in Ji:ne over a year ago was the result of subs~antial increases in marketings rather than increases in prices. Wheat ship­ments were up and there was also an increase in the farm price of wheat; cattle marketings were double those of June, 1943, but the income from this source did not increase proportionally because of the substantial drop in prices. Other 1ivestock and livestock product marketings were ~lsQ well above a year ago. THE 1944 TEXAS WHEAT CROP ing been shown in precedinz issues of the REVIEW from The most outstanding feature of the July 1 crop report of the United States Department of Agriculture is the record wheat crop. An indicated crop of more than 70 million bushels for Texas and the June farm price of nearly $1.40 per bushel, if maintained through the season, would result in a value for wheat of ap­proximately $100 million. Of this total the Northern High Plains District with more than 56 million bushels would receive approximately three-fourths, or $75 mil­lion. In 1943 the cash income from wheat in District 1-N amounted to approximately $30 million and the total farm cash income in the district was $109 million, leav­ ing $79 million received from other sources. Assuming that the cash income from sources other than wheat during the current year will equal that of a year ago (a reasonable assumption) , total farm cash income in District 1-N during 1944 would amount to more than $150 million, or an average of $12,000 per farm for the 12,500 farms in the district. TREND OF ANNUAL FARM CASH INCOME BY PRODUCTS IN DISTRICTS 10 AND 10-A The present issue of THE REVIEW contains tabulations showing farm cash income, by products, from 1927 to 1943 inclusive, for Districts 10 and 10-A. This con­cludes the series of tabulations on the trend of annual farm cash income by products, similar tabulations for the State and for the other crop reporting districts hav-January through June, 1944. District 10, the South Texas Plains, (see outer cover page of the May issue of the REVIEW) is principally a ranching area with a few huge individual ranches of several hundred thousand acres, of which the most noted is the King Ranch. In the irrigated sections, notably the Winter Garden Area consisting of parts of seyeral counties in the northwestern part of the district, intensive agriculture is carried on. The area is noted for its production of Bermuda onions, spinach, and other winter vegetables, a large percentage of which is shipped to northern markets. The major portion of the farm cash income in this district is derived, however, from livestock and livestock products. District 10-A, the Lower Rio Grande Valley, is the principal citrus fruit area of the State and consists of three counties-Cameron, Willacy, and Hidalgo. This district is one of the three great sources of citrus fruits and winter vegetables in the nation, ranking with Cali· fornia and Florida. The increase in farm cash income in this district dur· in" the past few years is nothing short of phenomenal. The income computed by this Bureau for District 10-A in 1943 was almost $83 million, and this is an under­ statement of approximately 6 per cent. The cash in· come in this district during the first five months of the current year is 50 per cent greater than during the cor· responding period a year ago. A record farm cash income for 1944 in this district is therefore assured. F. A. BUECHEL. TEXAS BUSINESS REVIEW Subscription: One Dollar per Year. For club rates on five or more subscriptions Address: Bureau of Business Research, The University of Te"as, Austin BUREAU OF BUSINESS RESEARCH July 18, 1944 THE UNIVERSITY Of,;TEXAS AUSTIN, TEXAS EMPLOYMENT AND PAY ROLLS IN TEXAS r' June, 1944 Estimated Number of Percentage Change Estimated Amount of Percenta2e Chan&• Workera Employed* from from Weekly Pay Roll from from May, June, May, June, May, June, May, June, 1944(1) 1944(2) 1944 1943 1944(1) 1944<2> 1944 1943 MANUFACTUR.~NG All Manufactut-irig lnduatriea____ l66,374 168,713 + 1.4 + 2.3 ' 5,677,363 $5,830,339 + 2.7 + 13.4 Food Products Baking ------------------10,094 10,187 + 0.9 +27.6 363,348 367,745 + 1.2 +53.4 Carbonated Beverages ______ 3,562 3,893 + 9.3 + 1.7 104,940 117,543 + 12.0 + 6.5 Confectionery -----------------1,426 1,317 7.6 +22.3 19,773 17,477 -11.6 +43.3 Flour Milling ------------2,252 2,378 + 5.6 + 3.5 71,495 78,867 + 10.3 + 19.9 Ice Cream -----------------1,536 1,722 + 12.1 + 20.7 38,808 44,126 +13.7 +25.0 Meat Packing ---------6,334 6,619 + 4.5 + 15.7 206,824 206,824 -(5) + 15.7 Textiles Cotton Textile Mills --------------5,109 5,128 + 0.4 -19.2 117,600 118,992 + 1.2 -12.8 Men's Work Oothing ------------4,251 4,271 + 0.5 -9.9 75,075 75,143 + 0. 1 7.4 Forest Products Furniture ------------------1,119 1,176 + 5.1 -26.9 30,628 34,500 + 12.6 4.7 Planing Mills ----------------1,805 1,743 3.4 -19.1 52,184 48,823 6.4 -14.8 Saw Mills ---------------------14,027 14,388 + 2.6 8.6 24-3,783 267,064-+ 9.5 + 0.2 Paper Boxes -------------------------772 846 + 9.6 0.5 18,833 20,34-0 + 8.0 + 7.9 Printing and Publishing Commercial Printing ------2,480 2,425 2.2 + 2.6 85,993 83,525 2.9 + 9.9 Newspaper Publishing -----------3,854 3,787 1.7 -10.9 112,274 113,313 + 0.9 3.9 Chemical Products Cotton Oil Mills ---------2,356 1,908 -19.1 -9.9 39,226 30,539 -22.1 1.1 Petroleum Refining ---------24,798 25,225 + 1.7 + 12.7 1,4-04,729 1,427,293 + 1.6 +17.2 Stone and Clay Products Brick and Tile ----------------1,528 1,490 2.5 -10.5 26,384 26,697 + 1.2 -3.5 Cement --------------------------877 751 -14.4 -34.0 32,755 30,043 8.3 -30.7 Iron and Steel Products Structural and Ornamental Iron___ 2,456 2,498 + 1.7 -14-.3 82,510 82,093 0.5 + 0.8 NONMANUFACTURING Crude Petroleum Production____ 27,204 27,954 + 2.8 -9.7 1,439,427 1,482,827 + 3.0 +18.l Quarrying ----------------------------------( 3) (3) + 6.0 -10.5 (3) (3) + 5.9 + 2.4 Public Utilitiea -----------------------(3) (3) + 0.7 + 4.0 (3) (3) + 1.4 + 12.7 Retail Trade ____________________________207,181 206,703 0.2 -6.5 4,781,900 4,996,487 + 4.5 + 6.2 Wholesale Trade ----------------------61,758 61,626 0.2 -0.4 2,394,972 2,416,336 + 0.9 + 11.7 Dyeing and Cleaning ----------------2,972 3,040 + 2.3 + 1.5 70,826 71 ,4-52 + 0.9 + 17.5 Hotels ----------------------------------------19,557 19,969 + 2.1 +10.2 337,572 350,093 + 3_7 + 22.1 Power La1•n dries ----------------------14,507 15,301 + 5.5 + 0.2 244-,758 260,707 + 6.5 + 7.4 CHANGES IN EMPLOYMENT AND PAY ROLLS IN SELECTED CITIES«> Employment Pay Rolls Employment Pay Rolls Percentage Chanee Percentage Cha.nee Percentae:e Chan!?'e Percentage Chane:e May, 1944 June, 1943 May, 1944 June, 1943 May, 1944 June, 1943 May, 1944 June, 1943 to to to to to to to to June, 1944 June, 1944 June, 1944 June, 1944 June, 1944 June, 1944 June, 1944 June, 1944 Abilene ---------­7.2 l ?. 6.0 + 14.0 Galveston ------6.3 + 8.9 6.3 + 66.6 Amarill 2.3 9.7 2.9 + 3.1 Houston + 1.2 5.1 + 1.5 + 15.8 Austin -----------­7.2 3.0 7.6 + 0.2 Port Arthur + 0.9 + 4 .5 + 0.6 + 10.8 Corpus Christi + 7.1 (3\ + 9.1 (3) San Antonio __ + 0.5 + 1.1 + 2.1 + 6.8 Beaumr nt ______ + 1.5 3.4 + 0.6 0.6 Sherman -------1.2 + 10.8 + 0.1 + 31.0 Dallas ------------+ 1.4 + 43.9 + 2.5 + 90.0 Waco --------------+ 0.3 5.4 + 3.9 + 0.1 El PaP 0.6 3.0 + 2.4 + 15.5 Wichita Falls_ + 0.6 5.4 + 4.1 + 11.2 Fort Worth + 0.6 -10.0 3.3 2.6 STATE ----------+ 1.1 + 4-.8 + 1.2 + 20.0 ESTIMATk D NUMBER OF EMPLOYEES IN NONAGRICULTURAL BUSINESS AND GOVERNMENT ESTABLISHMENTS <•> 1942(1) 1943(1) 1944 1942(1) 1943 January ------------------1,170,000 1.385.000 1429 000 <2> July ---------------------1,317,000 1,450,000(1) February ----------------1,199,000 1,397,000 1,433'ooo<•> August ---------------1,352,000 1,4-41,000<•) March ---------------------1,226,000 1,415,000 1:433:000(2) 1,4-48,000(2) September ________ 1,373,000 April --------------------------1,222,000 1,433,000 1,435,ooo<•> October -----------------1,384,000 l ,455.ooo<•> May ---------------------1,251,000 1,458,000 November -------------1,389,000 1,461,000<2> June --------------------1,291,000 1,478,000 December _______ 1,413,700 1,470,000(2) •Does not include proprietors, firm members, officers of corporations, or other principal executives. Factory employment excludes also office, aalea, technical and professional personnel. (l)Revised. C2lSubiect to revision. C3>Not available. CO Based on unweighted figures. Less than 1/10 of one per cent. CfD'.'J'ot including self-employed person~. casual workers, or domestic servants, and exclusive of military and maritime pnsonnel. These fi gures are furnished hr tl1e Bureau of Labor Statistics. U.S. Department of Labor. Prepared from .reports frorQ. represen.tati~e Texas establishments to the Bureau of Business Research coOperating with the Bureau of Labor Statistics. Due to the national emergency, pubhc'lt:on of data for certain industries. is being withheld until further notice. DISTRICT 10-TREND OF ANNUAL FARM CASH INCOME BY PRODUCTS (In thousands of Dollars) Product 1927 1928 1929 1930 1931 1932 1933 1934 1935 1936 1937 1938 1939 1940 1941 1942 194~ Cotton -------------­ 4,778 6,320 6,808 5,053 2,0,35 1,219 2,634 3,086 2,479 2,549 1,774 1,250 816 904 1,375 1,656 2,480 Cotton Seed ___ _ 624 871 892 906 263 198 422 574 500 543 329 264 131 184 385 395 603 Grain Sorghum._ 20 57 68 82 131 197 Corn -----------------­ 402 209 88 169 102 88 87 94 93 316 163 286 470 570 539 631 1,020 Cattle ---------------­ 5,272 7,754 7,751 3,400 4,285 2,211 1,989 2,887 5,662 4,314 7,545 5,466 6,556 3,989 6,261 10,214 12,114 fl Calves -------------­ 1,083 1,169 1,209 911 1,002 594 515 538 604 Ji62 1,257 1,520 1,344 861 806 2,170 2,032 Hogs -----------------­ 27 26 30 10 14 5 18 12 24 39 120 49 25 10 11 626 1,317 Shee p ---------------­ 95 63 32 26 40 18 32 73 174 36 48 30 11 5 10 29 65 Poultry -------------­ 182 195 194 183 164 114 95 114 163 169 170 197 185 228 201 347 424 Wool -----------------­ 112 131 143 69 68 46 139 130 112 145 120 75 43 73 111 98 102 Mohair -------------­ 212 316 244 73 93 35 112 70 100 176 186 133 176 108 111 59 60 Eggs _____ -----------­ 682 759 791 694 491 433 443 597 312 733 756 713 651 819 1,083 1,335 1,255 Milk Products Fruits, Vegs. __ 566 582 687 787 601 441 525 637 814 989 943 649 560 763 1,016 1,631 1,946 ~ Canning -------­ 4,655 ~, 884 6,623 4·,520 2,163 3,081 2, 177 1,793 1,192 1,946 2,833 2,4°25 2,640 2,496 2,461 2,057 5,759 P eanuts -------------­ 2,994 3,845 ~ TOTAL -----------­ 18,690 25,279 25,492 16,801 11 ,321 8,483 9,188 10,605 12,229 12,517 16,244 13,077 13,665 ll ,078 14,452 24 ,373 33,219 en . ~ en DISTRICT 10-A-TREND OF ANNUAL FARM CASH INCOME BY PRODUCTS ~ (In thousa nds of Dollars) Product 1927 1928 1929 B30 1931 1932 1933 1934 1935 1936 1937 1938 1939 194 0 1941 1942 1943 Cotton 5,731 9,52 1 8,054 4,988 1,917 1,091 2,433 5,025 ~, 698 ~ ,465 8,261 5,257 4,332 4,697 4,333 8,554 9,784 Co tto n Cattle Seed ---· ............... . 748 96 1,311 197 1,470 259 394, 97 247 171 93 29 389 34. 932 105 545 531 945 94 1,531 229 1,094 344 672 478 944 181 1,205 70 1,974 369 2,238 205 Calves 33 7 37 17 66 27 6 13 74 31 40 60 57 26 8 21 13 Hogs 8 22 15 2 1 7 10 15 82 11 22 6 5 Sheep ···········-·· 7 1 1 1 Poultry 223 233 255 216 187 131 107 125 184 187 184 210 196 213 189 32 1 480 Eggs -········--···---· Milk Products . Fruits, Vegs. 832 658 909 684 1,043 804 812 923 562 703 491 512 495 614 666 750 345 950 800 1,159 819 1,101 . 762 1,526 699 1,382 775 1,532 1,012 1,863 1,243 2,910 1,393 3,318 Canning ···-··­ 5,171 9,845 12,084 15,712 9,659 10,722 5,953 6,093 7,219 11,470 22,384 18,523 20,031 14,938 18,253 34,597 65,221 TOTAL ........ .. 13,500 22,729 24,028 23,662 13,51S 13,096 10,038 13,709 12,557 19,152 34°,564 27,776 27,929 23,317 26,955 49,995 82,657 No1·t: Thu ubovc fi gu r~s arc un 11.rl{lersla t.c mc nt of npproximntcly Ci per cent. 0\ Cotton Facts for Texans to Ponder Cotton's ability to stand drought and to produce on second growth makes it the surest major crop for growth under Texas climatic conditions. Livestock and livestock industries have in recent years come to outrank cotton as a source of farm cash in­come, especially because of the importance of range livestock, dairying, and increasing feeding operations. A high protein concentrate feed is vital to all of these. Cottonseed cake or meal is as good as the best and is the most adaptable of all such feeds; and cottonseed cake, meal and hulls are the surest feed crop in Texas. The livestock industries and cotton industries are thus supplementary and not competitive. According to calculations made from figures of the United States Department of Agriculture, all cotton and cottonseed in the United States produced an average farm market value of $23.31 per acre during the ten years, 1928-1939. During that same time corn produced an average of $13.29 per acre and wheat $9.65. The average cost of producing cotton during the above ten years was $21.40 per acre, that of corn, $17.85, and of wheat, $12.63. Farm management studies show that on the smoother lands of Texas cotton can be produced as cheaply as corn by planting to avoid chopping and by the use of mechanical harvesting. Cotton is the nation's best major field crop in the sense that the plant synthesizes from elements in the air and water almost all of its most valuable products, lint, I inters, and oil. Dr. John Leahy points out that if the cottonseed cake or meal and hulls, which contain almost all the minerals down from the soil, are fed to livestock and the droppings put back on the land as fertilizer, the net value of fertility elements drawn from the soil is less than one per cent of the value of cotton products sold. No other major crop will give as much to the producer and take as little from his soil. Cotton is a row, clean culture crop with a sparse root system, and if planted year after year on the same land will reduce humus and cause soil depletion through erosion. This weakness of cotton as a crop can be readily overcome, for soil conservation experts say that on all our better lands in Texas maximum productivity of the land can be maintained using cotton as the major crop by following proper farm practices. The market for cotton unlike most farm products is tremendously expansible depending on the price. The welfare of the whole world, the nation and espe­cially the cotton growing South demands that there be developed constructive policies to lower costs of pro· ducing cotton by eliminating land labor and by building up and maintaining soil productivity; it also demands that costs of manufacturing and distributing cotton and its products be reduced in proportion. A. B. Cox. COTTON BALANCE SHEET FOR THE U.S. AS OF JULY 1, 1944 (In Thousands of Running Bales Except as Noted) Carrye"Yer Imports to Final Cons. to Exports to Balance Year AU(lllt 1 July I• Ginnini• Total July I Jul y l Total July I 1934-1935 -------------------7,746 100 9,472 17,318 4,970 4,519 9,489 7,829 1935-1936 --------7,138 135 10,417 17,690 5,744 5,806 11,550 6,14-0 1936-1937 ---------------5,397 234 12,130 17,761 7,362 5,316 12,678 5,083 1937-1938 ------------------4,498 134 18,242 22,874 5,307 5,403 10,710 12,164 1938--1939 ---------------11,533 134 11,621 23,288 6,334 3,220 9,554 13,734 1939-1940 -----------------13,033 150 11,447 24,630 7,161 6,055 13,216 11,414 1940-1941 ----------------10,596 176 12,287 23,059 8,792 1,042 9,834 13,225 1941-1942 -------------------------12,367 259t 10,489 23,009 10,176 l,lOOf 11,276 11,733 1942-1943 -------------------------10,590 217t 12,437 23,254 10,260 l ,244t 11,504 11,750 1943-1944 ---------------------10,687 196t 11,121 22,004 9,218 l,175t 10,3'93 11,611 The Cotton year berfn1 Auru1t I. •Fie:ure1 are in 478 net pound balea, tfie-urea of the N.Y. Cotton Exchan&•· JUNE RETAIL SALES OF INDEPENDENT STORES IN TEXAS Percenta&e Chan«e• Number of in Dollar Salea Estab· June, 1944 June, 1944 Year 1944 lisbment1 f rom from from Reportin& June, 1943 May, 1944 Year 1943 -9.6 + 10.6 STORES GROUPED BY LINE OF GOODS CARRIED: APPAREL ------------------------·-------·---------------------102 + 6.9 TOTAL TEXAS --·--------------------------·-------·---·--------­937 + 6.9 -12.9 + 11.3 Family Clothing Stores ----------------------------·-----------------------------------------------­25 + 8.2 -7.7 + 7.6 Men's and Boys' Clothing Stores ----------------------------------------------------35 + 3.6 -3.7 + 3.8 Shoe Stores ---------------------------------------------10 ­ -29.4 -14.0 3.5 Women's Specialty Shops ----------------------------------------­32 + 12.2 -18.1 + 17.6 AUTOMOTIVE* --------------------------------------------·-----------------77 +11.6 + 6.2 + 6.4 Motor Vehicle Dealers -----------------------------------------------------------------------------­70 + 11.9 + 6.0 + 7.2 COUNTRY GENERAL ----------------------------------------------­92 + 8.5 -7.5 + 9.6 DEPARTMENT STORES ---------------------------------------­60 + 7.4 -15.2 + 13.4 DRUG STORES ---------------------------------------------------------------108 + 10.3 2.7 + 12.7 -DRY GOODS AND GENERAL MERCHANDISE..___________________________________ _ 34 t -6.6 + 6.9 Filling Stations -------------------------------------------·--------------------~---22 + 1.3 +17.1 + 4.3 FLORISTS -------------·----------------------------------------------------­18 + 14.4 -43.2 +28.9 FOOD• ---------·-----------------------·--------·------------------------­123 + 11.4 4.6 + 11.4 Grocery Stores --------------------------------------------------------------------27 + 6.2 4.6 + 7.1 Grocery and Meat Stores ----·--------------------·-----------------------------------------------------­91 -12.7 4.9 -12.8 FURNITURE AND HOUSEHOLD• ·------------·---------------------------------------------------71 + 3.5 1.7 3.3 Furniture Stores --------------------------·------------------------·--------------·----·--­65 + 4.9 1.2 -1.8 JEWELRY ------------------------------------------------------------------------------------23 -5.2 -14.9 + 4.8 LUMBER, BUILDING, AND HARDWARE* ------------------------------------------------­162 T + 5.7 + 5.6 - Farm Implement Dealers -------------------------------------------------------------------13 + 15.4 6.0 +28.6 Hardware Stores ----------------------------------------------------------------------------52 +21.0 + 2.8 +24.5 Lumber and Building Material Dealers ------------------------------------------­95 7.0 + 9.3 -3.0 RESTAURANTS ----------------------------------------------­28 + 7.9 t +14.8 ALL OTHER STORES ---------------------------------------------------­11 + 4.7 -10.6 + 5.7 TEXAS STORES GROUPED ACCORDING TO POPULATION OF CITY: All Stores in Cities of-Over 100,000 Population --------------------------------------140 + 7.0 -11.5 + 12.7 50,000-100,000 Population ---------------------------------------------126 + 4.5 -10.2 + 7.5 2,500-50,000 Population -----------------------------------------------------------------­440 + 8.0 6.9 + 8.3 - Less than 2,500 Population --------------------------------------------231 + 9.3 1.6 + 13.4 •Group total includea kinds of business other than the classification listed. Prepared from reports of independent retail stores to the Bureau of Busine-;s Resea rch, coi..iperating with the U.S. Bureau of the Census. !Less than .5% . JUNE CREDIT RATIOS IN TEXAS DEPARTME T A D APPAREL STORES (Expressed in Per Cent) Number Ratio of Ratio of Jtatie •f of Credit Sale1 Collectiona to Cred_it ~alarlee Stores Reporting to Net Sale1 1944 1943 Outstandint;I 1944 1943 to Credit Salu 1944 1,43 All Stores --------------------------·---·---------------------------------------­---------­ 56 43.8 47.5 62.8 61.2 1.4 1.2 Stores Grouped by Cities: Austin --------------------------------------­ 5 37.4 37.1 63.1 63.1 2.0 2.0 Bryan .... -------------­---------------------------------------------·---------­Corpus Christi ___ __________________ __________________________________:_______________________ _______ 3 4 33.7 38.1 31.0 40.7 61.7 77.6 53.6 73.7 1.2 2.4 1.4 1.2 Dallas ------------------------------------------------------·--­-----­ 8 53.0 58.6 61.0 61.3 1.0 0.8 El Paso----------------------------------------------------------------------------------·------------------------· 3 37.8 40.1 60.3 65.8 1.8 1.6 Fort Worth ----------­---------------------------­-----­-----------------------­Houston ---------------------------------------------------­ 5 5 38.5 42.0 42.3 47.0 62.l 64.2 61.0 55.3 1.5 2.0 1.5 1.6 Waco ---------·-­----------------------------------------------------­ 5 42.0 44.3 60.4 56.2 1.6 1.3 All Others -----------------------------------------------------------------------­ 18 39.9 42.l 66.4 65.6 1.3 1.4 Stores Grouped According to Type of Store: Department Stores (Annual Volume Over $500,()00) ____________________ 17 42.5 46.0 65.2 62.8 1.4 1.3 Department Stores (Annual Volume under $500,000) ___________ _ 10 38.l 39.5 64.3 64.6 1.8 1.6 Dry-Goods-Apparel Stores --------------------------------------------­Women's Specialty Shops ----------------------------------------------------­Men's Oothing Stores ----------------------------------------------------­ 3 14 12 36.3 49.7 44.0 43.0 54.8 47.1 66.1 55.9 66.6 64.8 56.9 61.2 2.6 1.3 1.4 2.0 0.9 1.3 Stores Grouped According to Volume of Net Sales During 1943: Over $2,500,000 -----------------------------------------------------------­----­$2,500,000 down to Sl ,000,000 -------------------------------------------­$1,000,000 down to $500,000 ---------------------------------------­Less than S500,000_____________________________________________________________________ __ 16 11 11 18 44.() 41.5 37.6 35.3 47.1 42.4 43.5 33.9 64.6 70.7 67.2 67.5 63.2 62.0 65.4 67.2 1.3 1.3 1.7 2.7 1.3 1.3 1.6 2.5 Non: The ratios shown for each year, in the order in which they appear from left to right are obtained by the followini computations: (1) Credit Salet divided by Net Sales. (2) Collections during the month divided by the total accounts unpaid on the first of the month. (3) Salarie1 of tho credit departmeat divided by credit sales. The data are reported to the 'Bureau of Business Research by Texas retail stores. POSTAL RECEIPTS January through June June, 1944 June, 1943 May, 1944 1944 1943 Abilene ------------------· ·------------------------------------------$ 44,683 $ 38,866 $ 47,392 $ 263,048 s 245,146 Amarillo.____________________________________________________________________________ 56,016 46,921 56,042 332,628 292,140 Austin ---------------------------------------------------------------------­85,023 570,011 95,851 102,044 503,387 Beaumont ----------------------------------------------------------------­ 49,161 39,428 49,325 280,249 237,606 Big Spring ------------------------------------------------------­ 11,203 8,472 10,685 64,923 55,116 Brownsville -------------------------------------------------------------------· 11,849 9,074 12,137 68,693 55,017 Brownwood ---------------------------------------------------­26,109 20,428 27,598 143,160 146,948 Childress ----------------------------------------------------------------­ 5,569 4,807 5,477 32,816 24,996 Cleburne -------------------------------------------------------------­4,579 33,820 28,404 5,817 5,702 Coleman ----------------------------------------------------------------4,581 3,845 3,966 26,708 23,681 Corpus Christi -----------------------------------------------------61,895 53,229 70,325 387,221 309,797 Corsicana -------------------------------------------------------------9,865 8,011 9,718 58,666 48,207 Dallas --·------------------------------------------------------------------­540,123 445,730 549,032 3,133,091 2,696,417 Del Rio ·-----·------------------------------------------------------------------­7,083 5,488 6,527 38,857 32,117 Denison -··-----------------------------------------------------------------­9,763 8,207 11,191 58,269 52,397 Denton -------------------·-----------------------------------------------------10,449 9,970 12,066 69,394 63,498 Edinburg ----------------------------------------------------3,765 3,353 4,519 25,406 21,182 El Paso -------------------------------------------------------------­99,292 84,545 105,503 568,591 528,493 Fort Worth ------------------------··-------------------------------235,124 192,926 238,508 1,364,600 1,179,lll Galveston -------------------------------------------------­52,339 43,853 53,351 299,171 268,393 Gladewater ------------------------------------------------------------3,835 3,624 3,836 25,043 21,782 Graham ---------------------·-------------------------------------------3,149 2,912 3,410 20,425 16,170 Harlingen ---------------------------------------------------------­14,151 9,737 13,764 83,672 62,496 Houston ------------------------------------------------------------­390,657 319,013 399,251 2,210,854 1,870,202 ] acksonville -----------------------------------------------------------------­5,588 5,060 6,530 33,502 78,821 Kenedy --------------------------------------------------------------------­2,358 2,367 2,766 14,728 12,922 Kerrville -----------------------------------------------------------------­12,843 3,737 3,904 22,506 19,946 Lubbock --------------------------------------------------------------­33,892 27,434 32,669 197,679 169,512 McAllen --------------------------------------------------------------------­7,508 5,247 7,078 44,678 34,837 Marshall -------------------------------------------------------------------­10,548 8,536 10,701 64,117 52,102 Palestine -----------------------------------------------------------------­8,977 6,459 8,249 47,648 40,521 Paris ----------------------------------------------------------------------20,982 17,738 22,297 128,885 109,159 Plainview -------------------------------------------------------------­5,754 4,405 6,180 35,262 30,244 Port Arthur ------------------------------------------------------------­25,420 23,235 28,937 162,056 137,250 San Angelo ------------------------------------------------------------­21,683 18,280 22,638 128,308 109,296 San Antonio ------------------------------------------------------251,941 224,755 274,400 1,531,222 1,363,798 Sherman --------------------------------------------------------------­12,322 10,710 12,265 72,410 63,985 Snyder ----------------------------------------------------------------------2,399 1,798 2,602 14,327 11,580 Sweetwater ---------------------------------------------------------7,907 7,835 8,767 52,404 44,611 Temple ---------------·-------------------------------------------------15,496 13,884 15,132 91,873 80,945 Texarkana____________________________________________________ ___________________ 32,660 22,240 28,736 17 4,697 135,623 Ty !er ------------------------------------------------------------------------­29,660 20,570 31,081 175,640 179,921 Waco ----------------------------------------------------------------------------54,567 48,732 54,551 311,598 267,944 Wichita Falls --------------------------------------------------------------39,280 41,269 44,021 251,448 246,451 TOTAL ----------------------------------------------------------------------s 2,354,114 $ 1,966,332 2,461,873 $13,714,304 $11,972,171 NOTE : Compiled from reports from Texas chambers of commerce to the Bureau of Business Research. PETROLEUM Daily Average Production (In Barrels) January through June June, 1944 June, 1943 May, 1944 1943 1944 Coastal Texas*·------·-------------------------------------------·-------------527,200 383,700 519,800 2,081,900 3,116,000 East Central Texas·--------------------------------------------------------143,900 124,000 137,100 649,940 750,500 East Texas --------------------------------------------------------------------­361,100 338,750 364,100 1,973,950 2,212,800 North Texas ----------------------------------------------------------­149,100 132,450 147,200 807 ,850 862,250 Panha n die ---------------------------------------------------------------92,000 90,100 91,000 538,050 568,200 Sou th west Texas_______________________________________________________ 312,100 209,900 307,100 1,113,950 1,785,000 West Texas ----------------------------------------------------------------­445,200 230,750 429,100 1,301,400 2,309,700 STATE -----------------------------------------------------------2,030,600 1,509,650 1,995\,400 8,467,050 11,604,550 U ITED STATES_________________________________________________ 4,549,200 3,979,000 4,512,000 23,491,900 26,652,700 *fncludes Conroe. OTE : From American Petroleum lnstitute. See accompanying map showing 11-ie oil producing districts of Texas. Gasoline sales as indicated by taxes collected by the State Comptroller were : May, 1944, $110,971,724; May, 1943, $110,686,374; April, 1944, $108,901,19l. :\1ay sales of gasoline to the United S tates Government as reported by motor fuel distributors in Texas were 260,924,014 gallons. BUILDING PERMITS January through June Abilene ----------------------------------------------------­ Amarillo ------------------------------------------------------------­ Austin -------------------------------------------------­ Beaumont ------------------------------------------------------­ Big Spring -------------------------------------------------------------·-------· Brownsville ------------------------------------------------------------­ Cleburnet ------------------------------------------------------------------­ Coleman ---------.------------------------------------------------­ Corpus Christi ------------------------------------------- Corsicana ---------------------------------------------------­ Dallas --------------------------------------------------------------­ Denton -------------------------------------------------------------- Edinburg -------------·----------------------------­ El Paso -----------------------------------------------------------------------­ Fort Worth ---------------------------------------------------­ Galveston -----------------------------------------------------­ g~~i~:~~~~--:::::::::==::::::=:=::::::::=:=::::::::::::=::::::::::::::::=: Harlingen -------------------------------------------------------­ ~~r!:~~~~-~~~;Y~~-~ New Braunfels -----------------------------------------­ p . -­ ans -------------------------------------------------------------------------­ Plainview -------------------------------------------------------­ Port Arthur ----------------··--------------------------------------­ ~h~r!~~o~'.-~--==::::::::=:::::=:~-::::::===-~:::::=:~_-:=::::::-_:--= ~==:~:~:~::==~~~~~:::~:~:~=:==~::::=::::::::::::::::=:::=::::::~::=. ~~~~it~::'.~;;:i~::::::::::::::::::::::=::::::::~::::::::::::::~~=~-----= TOTAL ---------------------------------------------------------­ *Not available. tNot included in totals. NOTE · Compil<:"d from reports from Te~as chambers of commerce Southern Pine Mills: Average Weekly Production per unit___________________ _ Average Weekly Shipments per unit _______________ ____ _ Average Unfilled Orders per unit, end of month _ NOTE: From Southern Pine Association. J une, 1944 June, 1943 $ 70,005 s 29,367 200,070 56,774 106,082 18,292 60,516 17,363 14,370 22,926 13,630 5,177 2,835 • 0 0 379,140 198,925 150 2,662 641,018 277,761 1,200 4,930 11,275 12,400 175,812 19,480 252,069 879,274 85,239 44,709 2,500 475 0 0 4,350 275 804,107 535,615 8,500 550 1,600 915 4,927 51,565 102,939 21,017 44,605 3,715 9,153 5,550 155,663 2,367 5,272 1,055 13,996 6,665 2,640 500 21,581 39,924 243,385 848,881 8,066 11,255 0 0 3,070 2,215 19,750 29,132 26,185 27,453 295,176 80,968 16,917 2,579 s 3,804,958 $ 2,898,711 to the Bureau of Business Research. LUMBER On Board Feet) June, 1944 June, 1943 212,385 246,138 214,338 272,989 1,518,598 1,412,307 May, 1944 13,460 124,035 45,448 41,450 28,025 33,117 650 0 115,553 1,000 1,490,192 1,050 625 226,599 402,929 128,019 1,050 300 12,650 495,064 800 550 1,075 81,648 10,275 12,076 21,050 9,085 10,260 5,200 25,433 312,099 14,891 0 71 ,135 11,181 18,010 258,972 9,590 4,033,896 May, 1944 196,811 205,926 1,558,546 1944 244,940 688,020 301,763 438,638 61,013 31,043 • 5,350 979,435 4,747 4,953,401 10,115 27,057 701,473 1,941,511 493,233 7,405 6,828 43,950 33,700 6,950 9,627 339,463 88,850 83,582 296,964 29,093 134,296 11,840 163,646 1,972,853 69,647 0 99,915 49,931 113,793 1,173,935 119,152 15,730,159 1943 1,515,778 1,671,319 9,054,049 1943 113,150 417,395 161,905 857,638 90,960 67,280 • 0 1,246,397 l(},452 1,080,638 12,085 23,867 248,038 3,486,911 334,663 11,210 4,190 4,140 9,750 2,415 54,013 90,637 27,563 302,459 25,969 5,80-1­103,965 10,855 91 ,373 1,285,911 72,463 0 14,570 214,921 46,528 457,921 83,073 Sll,071,129 First Half 1944 1,208,966 1,249,925 9,739,845 SHIPMENTS OF LIVE STOCK CO VERTED TO A RAIL-CAR BASIS* Cattle Calves Swine Sheep Total 1944 1943 1944 1943 1944 1943 1944 1943 1944 1943 Total Interstate Plus Fort Worth___________________ 5,320 2,608 845 411 1,553 1,541 3,060 1,432 10,778 5,992 Total Intrastate Omitting Fort Worth___________ 601 441 65 151 47 51 181 70 894 713 TOTAL SHIPMENTS_________________________ 5,921 3,049 910 562 1,600 1,592 3,241 1,502 11,672 6,705 TEXAS CAR-LOT* SHIPMENTS OF LIVE STOCK FOR YEAR TO DATE Cattle Calves Swioe Sheep Total 1944 1943 1944 1943 1944 1943 1944 1943 1944 1943 Total Interstate Plus Fort Worth.___ __ __ ___________ 27,559 32,826 4,159 3,767 9,763 8,847 7,179 5,460 48,660 50,900 Total Intrastate Omitting Fort Worth___ _________ _ 4,084 -4,949 766 1,175 651 397 494 303 5,995 6,824 TOTAL SHIPMENTS_ _ _________________________ ___ ____ _ 31,643 37,775 4,925 4,942 10,414 9,244 7,673 5,763 54,655 57,724 •Rail-car Baai1: Cattle, 30 head per car; calves, 60; swine, 80; and sheep, 250. Fort Worth shipments are combined with interstate forwardings in order that the bulk of market disappearance for the month may be shown. Non: These data are furnished the United States Bureau of A2Yicultural Economics by railway officials through more than 2,500 ~talion ae:ents, reprcscntin:: every livestock 1hippinc point in the state. The data are compiled by the Bureau of Business Research. DAIRY PRODUCTS MANUFACTURED IN PLANTS IN TEXAS Product and Year January February March April May June July August September October November December Total CREAMERY BUTTER (1000 lb.) 1944* ------------------------2,043 2,126 2,765 3,53') 4,0'.18 3,527 1943* -------------------------------2,636 2,743 3,076 3,652 4,544 4,120 4,051 3,452 2,629 2,581 2,236 1,924 38,071 1930-39 average --------------2,074 2,109 2,392 3,138 3,556 3,166 4,113 2.867 2,513 2,608 2,301 2,211 32,048 ICE CREAM (1000 gal.) :I: 1944* -----------------1,115 1,211 1,520 1,687 2,491 2,944 1943* ----------------------------1,125 1,187 1,396 1,770 2,302 2,478 2,758 2,763 1,990 1,622 1,443 940 22,237 1930-39 average ---------215 262 434 570 752 893 904 845 686 460 259 205 6,486 A.MER/CAN CHEESE (1000 lb.) 1944* --------------------------902 956 1,229 1,884 2,273 2,159 1943* ------------------914 948 1,063 1,594· 2,010 1,866 1,896 1,405 1,019 819 621 809 15,272 1930-39 average --------------554 590 737 1,050 1,215 1,129 1,119 1,025 866 852 718 641 10,496 MILK EQUIVALENT OF DAIRY PRODUCTSt (1000 lb.) ___________________________67,873 1944* 71,519 92,663 119,889 144,977 137,502 ---__________________________80,106 1943* 83,301 94,470 118,447 149,577 139,948 143,120 124,558 93,18 '1 85,084 73,290 62,253 1,291,709 1930-39 average ____________ 54,675 57,139 67,456 89,641 104,323 97,562 97,075 89,185 76,165 73,444 60,119 55,872 922,656 •Eatimates of production made by the Bureau of Business Research. tMilk Equivalent of Dairy products wu calculated from production data by the Bureau of Business Research. !Includes ice cream, sherbets, ices. etc. Non: IO·year average production on creamery butter, ice cream and American cheese based on data from the Agricultural :Marketing Service, U.S.D.A. JUNE, 1944, CARLOAD MOVEMENT OF POULTRY AND EGGS Shipments from Texas Stations Cars of Poultry Cars of Eggs Shell •De1tination Chickens Turkeys Shell Frozen Dried Equivalentt 1944 1943 1944 1943 1944 1943 1944 1943 1944 1943 1944 1943 TOTAL --------------------------------------~--------· 35 10 9 2 108 18 113 70 111 54 1,222 590 Intrastate ----------------------------------------------8 1 7 0 72 18 54 39 38 10 484 176 Interstate_______________________________________________________ 27 9 2 2 36 0 59 31 73 44 738 424 Receipts at Texas Stations TOTAL -----------------------------------------------------· 11 0 1 0 231 19 67 51 34 4 637 153 Intrastate --------------------------------------10 0 1 0 79 8 45 51 33 4 433 142 Interstate______________________________________________. 1 0 0 0 52 11 22 0 1 0 204 11 •The destination above is the first destination as shown by the ori2inal waybill. Changes in destination brought about by diversion factors are not 1bown. tDried eggs and frozen eggs are converted to a shell egg equivalent on the following basis: 1 rail carl oad of dried eggs=8 carloads of 1hell ea:g1. and 1 carload of frozen eggs=2 carloads of shell eggs. NoTs: Theie data furnished to the Division of AKricultural Statistics, B. A. E., by railroad officials through agents at all stations which oria:inate and receive carload shipments of poultry l!nd eggs. The data are compiled by the Bureau of Business Research. :::: T STORESTEXAS CHARTERS June, June, May, January through June 1944 1943 1944 I 1944 1943 (By Districts) · Domestic Corporations: Number of Percenta~e Cban2ea Capitalization _____________.$1,160 $295 $768 $3,654 $4,626 Eatab· June. 1944 June, 1944 Year 1944 lishmenu from from from Number -----------------------56 23 50 169 310 Reportini June 1943 May, 1944 Year 1943 Classification of new TOTAL TEXAS _______ __ 937 + 6.9 -9.6 + 10.6 corporations: TEXAS STORESBanking-Finance ------1 0 1 4 9 GROUPED BYManufacturing ------------6 1 3 24 31 PRODUCING AREASMerchandising ------------13 3 20 35 72 4 2 2 16 16 District 1-N _______ 67 + 13.8 + 6.3 Oil -----------------------------­ Amarillo · ______ 24 + 1.3 -15.0 Public Service ------------0 0 0 2 5 Plainview _______ 12 -12.3 Real Estate Building. 4 7 4 45 62 + 1.8 Transportation 2 0 0 7 7 All Others ___ 31 +29.5 +20.0 All Others __________ _____ 26 IO 20 36 110 District 1-S ______ 28 + 8.0 3.1 + 7.8 Lubbock _______ 17 + 5.1 -3.2 Number capitalized at less than $5,000 __________ 19 7 12 69 90 All Others _ ___ 11 +18.3 -2.6 District 2 ______ 72 • -7.5 0.5 Number capitalized at District 3 __ 33 + 9.9 -15.9 +12.0 $100,000 or more --------2 1 4 5 10 District 4 _______ 214 + 7.9 -13.1 + 14.4 Foreign Corporations (Number) 20 7 10 31 97 Dallas -----------34 + 12.8 -15.3 Fort Worth ____ 21 + 3.0 -11.6 Waco _______ 28 + 1.8 -13.6 •In thoaaand1. All Others ____ 131 + 2.9 5.9 NOTE: Compiled from records of the Secretary of State. District 5 ________ 100 + 7.4 -5.1 + 11.l District 6 ------------38 + 15.7 -7.2 +14.4 District 7 _____ ___ 48 + 13.0 -11.7 + 14.9 District 8 -------------167 + 3.3 7.4 + 5.5 Austin ________ 24 + 4.8 8.6 All Others _____ 143 + 3.0 7.1 District 9 __________ 107 + 3.8 7.6 + 9.2 Houston ------43 + 3.3 6.4 All Others ________ 64 COMMODITY PRICES + 4.7 9.8 District 10 ------------23 +15.7 7.0 June, 1944 June, 1943 May, 1944 District 10--A _______ _ 39 + 5.1 -13.l Wholesale Prices: U.S. Bureau of Labor Statistics •Change of less than .5%. Non: Prepared from reporta of independent retail stores to the Bureau of (1926=100%) ----------------------------104.3 103.8 104.l Busioeu Re.earch, coOperating with the U.S. Bureau of the Ceneua.. Farm Prices: U.S. Bureau of Labor Statistics (1926=100%) ---------------------------125.0 126.2 122.9 Retail Prices: CEMENT Food (U.S. Bureau of Labor Sta­tistics (1935-1939=100%) ________ 136.0 141.9 135.5 (In Thousands of Barrel~I Department Stores (Fairchild's May, 1944 Ma7. 1943 April, 1944 Publications Texas PlantsJanuary, 1931=100%) __ _ _________ 113.4 113.0 113.4 Production ---------541 925 575Cost of Living Index (1935-1939 Shipments ----------512 841 622124.8 125.0 =100%) -------------------------------------­ 705 984 United States Production ------------7,181 Stocks ---------------1,014 12,384 6,463 Shipments ___ ___________ 8,784 12,075 7,373 Stocks -----------------------------22,477 22,888 24,085 Capacity Operated _____ 35.0% 59.0% 32.0% NOTE : From U.S. Department of Interior, Bureau of Mines. PERCENTAGE CHANGES IN CONSUMPTION OF ELECTRIC POWER First Hal£ June, 1944 June, 1944 Year 1944 from from from TEXAS COMMERCTAL FAILURES June, 1943 May, 1944 Year 1943 June, June, May, Ja nuary through J une + 5.5 1944 1943 1944 1943 1944 + 9.9 Commercial --------------------------+ 9.6 + 6.7 +24.0 0 0 9 0 Industrial ------------------------------+ 20.8 Number --------0 Residential ----------·-----------------+ 8.6 + 3.7 + 11.4 Liabilities* _______ 0 0 0 $243 0 All Others ------------------------------13.9 Assets* -----------0 +11.0 + 5.8 0 0 $198 0 + 5.2 + 15.2 Average LiabilitiesTOTAL ---------------------------------+ 9.6 per failure* _ _____ 0 0 0 s 27 0 Prepared from report1 of 10 electric power companies to the Bureau of Bu1ine111 1 Research. •In thousands. Non : From Dunn and Bradstreet, Inc. Business Review and Prospect, F. A. Buechel__ Cotton Facts for Texans to Ponder, A. B. Cox LIST OF CHARTS CONTENTS PAGE ____________________ _ ____ ___________________________________________________ ________________________________ 3 ________________ ____________________________________________________________________________________________ 6 Trend of Farm Cash Income hy Products, 1927-I943, Districts Indexes of Business Activity in Texas·-------------------------------------------------------------------------------------------------------------------------------------------------------2 LIST OF TABLES Building Permits ---------------------------------------------------------------------------------·-------------·-----------------------------------------------------------------------------------------------· 9 Carload Movement of Poultry and Eggs·-----------------------------------------·---------------------------------------------------------------------------------------------------10 Cement ---------------------------------------------------------------------------------------------------·---------------------·-------------------------------------------------------------------------------------lI Charters ------------------------------------------------------------------------------------·-----------·--------------------------------------------------------------------------------------------------------Il Commercial Failures ---------------------------------------------------·-·------------------------····-----------------------------------------------·----------------------···----------------------------· lI Commodity Prices -------------------------· -------··----··----·--------·---·-·····-·-----------------·------------------·--------------·---····-----------------------··--------------------------------II Cotton Balance Sheet ------··----------------------------·-------------····----··----------------------------------------··--··--------··-··-------------------··---------·-··-------··--------------6 Credit Ratios in Texas Department and Apparel Stores ---------------·-·--·-------------------------------------------------··----------------------··------·---------------··-·-··· i Dairy Products Manufactured in Plants in Texas --------····---·------------------------------------·------------------···--·-----------------------------------------------·----------IO Lumber ---------·------------------------------------------------------------------------------------·--------------------------------------------------------··-------------------------------------------·--·--9 Percentage Changes Consumption in Electric Power_·-····------------------------------------------------------------------------------------------------------------------·----···-·--II Petroleum ----------------------------·-·---------------------------------------------------------------·--------------------------·----------------------------------··---------·--------------------------------------·· R Postal Receipts -----···---------------------------------···-·--------··---------------------------------···-----------------··----·----------------· ------------··-·-· ______---------------------------···---------R Retail Sales of Inde]'.lendent Stores in Texas by Class of Establishment ----------··----·---------------··-·-------------·-----------------------------------------------· i Shipments of Livestock -----------·-·-----------------------------··-------------------------------------------···--··---------------------·--·-----··----·-----·------------------------------------··-·-·-· 10 Trend of Farm Cash Income by Products, 1927-I943, Districts IO and 10--A -------···------------------------·--------·----------------------··------------------· S